Business-Intelligence-Platforms

Business Intelligence (BI) Platforms to Help Optimize Your Workflow

Business Intelligence (BI) Platforms to Help Optimize Your Workflow

How can businesses overcome the challenges of data mining to unlock the hidden potential of raw data and convert them into meaningful insights?

Organizational discipline is the key to workflow management. Decluttering and sorting through the data we work with streamlines our operations and boosts productivity.

To play chess, the pieces must be staged in a specific way and move strategically. We consider all the positions on the board before making a move against the opponent.

Managing the heaps of data is one of the most complex tasks. Our business objective should be improving our management skills to curate a smart business strategy. The more sorted the data is, the higher the possibility that it’s manageable, accessible, and easier to understand.

Data is omnipresent but how we interact with and study it remains different. We streamline these ways by engaging and understanding it through data analysis software.

Businesses require such tools for swift and comprehensive analytics to drive growth.

Each department in an organization understands and presents the relevant data differently to condense the condition of the business.

Significant BI tools for workflow management

These platforms combine software and additional services transforming raw data from multiple channels into actionable insights.

Business intelligence platforms work as catalysts, converting raw data into meaningful information, i.e., declutter and sort. These platforms collect, manage, organize, and analyze large quantities of data to make informed business decisions.

Additionally, it is through their functioning that data becomes accessible. They help businesses retrieve the latest, past, in-house, third-party data, etc., to help evaluate the performance. BI platforms allow the IT and other departments to work with and understand each other beyond making assumptions.

The nervous system of your organization

Business intelligence software integrated with visualization tools, advanced analytics, and data mining technologies offers a centralized platform.

By providing accessible insights, this software propels your business to become data-driven, and gain a competitive edge by helping simplify customer behavior.

In this fast-paced juncture where everyone requires a kickstart, business intelligence tools help you stay ahead of the curve.

How do these tools help us do that?

In practical terms, the standard BI tool helps identify the snags and address them accurately to streamline workflow operations. Additionally, it has become an efficient tool to optimize overall operations and track key metrics introducing cost-effective solutions into the business structure.

Business intelligence solutions are integral in administering your organization as data-driven.

Automation is the vehicle unleashing its potential to become one.

Use of automation in the fast-paced digital world

Across the business intelligence landscape, automation is crucial to maintaining a competitive edge in the fast-paced digital world.

Automation in business intelligence helps streamline, optimize, process, and analyze the collected data by boosting the capability to save time. Equipped with automation tools, business intelligence platforms underscore strategic and recurrent business decisions and tasks.

Have you heard of the terms, technologically-challenged or technophobe?

This is what you are labeled as if you manually attempt to collect and enter data into the system.

Introducing automation in business intelligence platforms helps save time and effort. Certain automated processes help avoid manual data entry or processing, increasing employee productivity by allowing them to focus on other strategic tasks.

Automation also helps negate other human mistakes. It reduces and corrects any errors in reports, ensuring the business maintains updated, precise, reliable, and accurate data.

In simpler terms, there are specific components of automation through which business intelligence platforms cater to your data processing and management preferences:

Data collection

In this step, raw and unstructured data is collected from different sources (internal and external systems), segregated to find clean authentic data, and structured uniformly for comprehensive data analysis.

Clean data is a requirement for accurate, to-the-point insights. Hence, the automation highlights and eliminates any inconsistencies, duplicates, or discrepancies.

Data Analysis

Automation helps in the reliable data description, modeling, and interpretation to make data-driven decision-making using advanced analytics. In this stage, the tools help identify patterns and trends to establish correlations between data sets.

After finding a correlation, it becomes much simpler to extract meaningful insights, accentuate important information, and draw conclusions to plan a roadmap for the future.

Monitor and Track

It simplifies report generation through customizable dashboards for a clear visual representation of data and automated reporting tools.

By creating and sharing detailed and accurate reports across a user-friendly interface, stakeholders can easily access important business information.

Automation in business intelligence platforms can manage and organize large heaps of data. As the business gradually expands, it is needless to expend additional costs and resources as the automation tools have scaling-up capabilities.

The overall function of business intelligence platforms is catering to real-time insights for organizations without slowing down, such that resources and time are freed up for more significant tasks.

Understanding market trends with business intelligence tools

But the major question is – are they reliable?

Each organization has distinguishable business requirements. Choosing the perfect business intelligence software depends on the department’s needs and the volume of data.

With the data mountains inherently present within, how do businesses harness their power? Through BI systems.

However, before finalizing the right tool, your business has to consider particular specifications –

  • Ease of access and use: The BI platform should be easily accessible by all employees, i.e., from tech-savvies to technophobes. It should confidently allow the user to configure the data, process natural language, and provide required setup assistance.
  • Automation capabilities: Automation is the principal foundation of business intelligence platforms. The chosen BI platform should then seamlessly integrate automation, and support natural language insights and visual report creation with one click.
  • Does it support AI? With the onset of AI, we aim to look past data. To establish simpler customer service structures within the business, the software should allow chatbot assistance and other interactive and conversational AI services.
  • Seamless Integration: To elevate operational management and seamless integration of processes, is the BI platform part of an ecosystem of apps? This enables an organization-wide improvement in productivity. Does the BI software allow integration with multiple data sources?

Broadly, your chosen business intelligence tools should be adept at data management. It should assist data warehousing, allow easy data mining, and aid in data modeling processes.

Top services to manage your workflow

The ideal tools and services for your business can transform your workflow and instill productivity.

Here are the 5 best business intelligence platforms of 2024:

QlikSense by Qlik

Qlik is available for Web, iOS, and Android.

QlikSense comprises a diverse range of visualization and data reporting features offering versatile options.

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Image source: https://www.qlik.com/us/products/qlik-sense#:~:text=Qlik%20Sense%20is%20a%20complete,to%20fully%20customize%20analytics%20solutions

QlikSense is a complete, fully customized analytics solution.

Sample data is already available within QlikSense which saves you the importing time. This BI platform works efficiently with one dataset or hundreds, enabling comprehensive visuals detailing the sales numbers.

These are structured into customizable graphs and provide an overview of the dataset(s). After the platform completes uploading and visualizing your data, its built-in AI-powered Insight Advisor allows you to ask questions regarding natural language, insights, summaries, and predictive analysis across different data sources.

One of the best features of this platform is its accessibility. Available across different devices, you can access your reports and graphs to make edits anytime and anywhere – all-in-one-functionality.

Microsoft Power BI by Microsoft

Microsoft Power BI is available for Web, iOS, and Android.

Power BI is one of the most widely used business intelligence platforms.

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Image source: https://www.microsoft.com/en-us/power-platform/products/power-bi

It allows effortless integration with other Microsoft products to quickly track any edits/changes made to the available data. One of its most supportive features is access to Microsoft Excel, PowerPoint, and Teams with a click.

Microsoft Power BI, a web-based business analytics suite, highlights real-time trends and offers valuable insights through comprehensive data visualization. This BI tool seamlessly integrates and is highly intuitive. If two datasets are connected, it can recognize the correlation, and changes to one are visible in the other dataset as well.

Zoho Analytics by Zoho

Zoho Analytics is available for Web, iOS, and Android.

Zoho Analytics is a self-service business intelligence software.

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Image source: https://www.zoho.com/analytics/whats-new.html tm_source=Ent_analytics_campaign&utm_medium=Ent_BI-banner

Zoho Analytics offers in-depth analysis and reports using automatic data syncing, scheduled periodically. This BI tool is one of the straightforward platforms to navigate and learn through a free on-premise plan.

It has built-in AI-powered features such as conversational AI, unlimited detailed reports, and predictive analytics and allows third-party integrations.

Zoho Analytics is designed to help solo entrepreneurs manage and analyze big data, even for the novices.

If you do not understand its functionalities, it offers demo videos with a user-friendly interface with walk-throughs.

Zoho Analytics leverages visual data representation to signify data flow from one end of the pipeline to another. It offers geo maps, i.e., map layering that unearths multiple data layers and identifies the hidden dimensions.

One of its most fascinating features? Immersive report viewing between different tabs, widgets, and an upgraded dashboard builder.

Domo Data Experience Platform by Domo

Domo is available for Web, iOS, and Android.

With cloud computing taking over the internet for flexible resource sharing and economic scaling, Domo is one of the best business intelligence tools for optimizing your workflow.

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Image source: https://images.app.goo.gl/4us1wVgUzPZSKNKu9

Domo allows seamless data integration from multiple sources such as databases, spreadsheets, social media, etc. It is entirely cloud-based with a faster load speed, making it easier for multinationals and small businesses.

Imagine it as a data library that connects, supporting over 1000 pre-built ones. Once the data is connected, managing it is as easy as a pie.

Additionally, it helps prepare your data, identify relationships, automate, and filter without any prior SQL knowledge. The Domo app hosts APIs, data management, and manipulation tools for all your data management preferences. It can also make the required data calculations with the Beast Mode available in the app.

Tableau by Salesforce

Tableau is available only on the web.

Tableau is one of the dynamic data visualization builders that allows diverse sharing options for team collaboration.

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Image source: https://www.tableau.com/products/tableau

Tableau is one of the top-rated BI tools for team collaboration. It specializes in data visualization and discovery and its collaborative capabilities.

Using this, you can share dashboards and workbooks with your teammates. They can leave the necessary comments on the work and collaborate on the data analysis process to streamline workflow.

Tableau supports data integration from multiple platforms such as SalesForce, Google Analytics, and MS Excel and has in-built workbooks, known as Accelerators, to support the imported data. Tableau offers different products depending on your business needs, such as Tableau Server for organizations, Tableau Desktop for the general audience, and Tableau Online for hosted analytics.

What’s next for the business intelligence market?

The Business Intelligence market, valued at $33.34 billion, is expected to grow by $61.86 billion by 2029.

Making important business decisions in the minimum amount of time is the need of the hour.

Business intelligence platforms rely on technological advancements to analyze data and help employees and high-level executives make significant decisions.

The business intelligence platforms help administrators extract, monitor, and enhance data from internal and external systems while producing reports and dashboards easily accessible to stakeholders and decision-makers.

Graphs, infographics, and scorecards are increasingly necessary to develop these reports.

The BI platforms offer a helping hand in Zoho analytics, data mining, modeling, and statistical analytics to harness insightful conclusions and curate these embedded graphics smoothly.

Data is the backbone of every industry.

Business intelligence platforms offer a structure to this heap by organizing and attributing meaning to them.

With the focus on automation in recent years, the demand for BI software will increase significantly for all businesses as they rush to propel their decision-making processes with confidence that their data is accurate and trustworthy.

An AI breakthrough by Demis Hassabi & Dr. John Jumper in protein structure wins the Nobel Prize

An AI breakthrough by Demis Hassabi & Dr. John Jumper in protein structure wins the Nobel Prize

An AI breakthrough by Demis Hassabi & Dr. John Jumper in protein structure wins the Nobel Prize

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(Source: Science.org)

AI turns a 50 year-old-dream of scientists into a reality! A chess genius creates history.

For a groundbreaking discovery, Sir Demis Hassabi was awarded the 2024 Nobel Prize in Chemistry with Google DeepMind Director, Dr. John Jumper. Hassabis, the Co-founder and CEO of Google DeepMind and Isomorphic Labs invented AlphaFold— a unique system that integrates predictive analysis of protein 3D structures from their amino acid sequences.

Over recent years, the world has witnessed impactful transformations introduced by the advent of artificial intelligence in various domains. There is a new addition to this list of applications—protein design.

Protein structure is increasingly complex, involving a series of amino acids in different arrangements/patterns. For several decades, researchers have attempted to decipher proteins’ 3D structures with various experimental techniques that involved extensive procedures.  Predicting the structure is cumbersome and intense, but not anymore. The latest AI-integrated innovation has simplified this process and made it possible.

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(Source: Chess.com)

Before pioneering AI to decode protein structures, Demis Hassabi was a chess prodigy. He believes that the strategic thinking he applied in chess was the driving force behind his AI journey. In 2018, when he first competed with the algorithm, it was based on a comparative analysis. However, the updated model added deep learning which is quick to identify patterns and determine protein structures accurately.  

There is no doubt that the AI revolution is an asset for not only brands but also scientists. It is paving the way for technological adoption in developing novel solutions for complex processes such as protein sequencing. As the world continues to adopt and integrate AI on a larger scale, we are sure to experience more marvels thanks to this technological advancement.

 

Sales-Pipeline-Metrics-to-Track

13 Sales Pipeline Metrics to Track

13 Sales Pipeline Metrics to Track

Weaknesses in your sales pipeline are detrimental. Can the right sales pipeline metrics help elevate the buyer’s journey?

Numbers and data, when isolated from each other, are meaningless. They exist within specific contexts.

We turn them into a quantifiable metric by tracking, analyzing, and comparing them to churn out meaning. This is how metrics help us gauge the effectiveness of a method.

Across the marketing and sales landscape, metrics help us assess and measure performance or production. It quantifies your marketing efforts to measure their effectiveness in boosting conversion rates and lead sales velocity.

Sales pipeline metrics operate in the same manner.

Sales pipeline: The basic understanding.

Sales pipeline is a visual representation of how your prospects move through the different stages in the funnel, i.e., from initial contact to closing a deal. Simply put, it helps analyze the overall buyer journey – what’s causing the drop-offs or why it’s taking so long to close a deal.

Sales pipelines are unique for every business and industry. What it generally looks like depends on the buyer’s journey, depending on their interests, preferences, priorities, and research.

Each buyer moves distinctly to accommodate the pipeline according to their journey, i.e., personalizing and making it effective. More than being sturdy, the pipeline is elastic and adapts to the prospective movements.

It generally includes three processes: lead generation, lead nurturing, and deal closing.

And, these are broader stages covered within the sales pipeline:

Prospecting ⇒ Lead qualification ⇒ Initial contact ⇒ Official proposal ⇒ Negotiation ⇒ Closing the deal

The most crucial objective here is that the pipeline should be able to handle the volume of leads without compromising the engagement quality or performance. If your brand is witnessing low conversion rates, certain challenges within your pipeline should be addressed.

Some of the common challenges your sales and marketing team may encounter include:

  • Lack of historical data on closed deals
  • Off-market target audience guiding leads off-base
  • Absence of measurable targets
  • Lack of visibility or knowledge regarding the status of the sales pipeline
  • No use of effective CRM tools to track leads
  • Not following up on cold leads
  • Inadequate conversion status updates
  • Neglected workable and high-quality leads

These are the potential weak spots of your sales pipeline.

So, how do we overcome them?

The Importance of Sales Pipeline Metrics in Driving Success

Certain metrics let us assess how to alleviate these concerns and improve the different stages across the sales journey.

Pipeline metrics are crucial.

Each team member should familiarize themselves with tracking them regularly. Even if the sales pipeline metrics vary for businesses, some general ones should still be tracked by your team.

Understanding what drives your prospects to close a deal in a win or what makes them drop off midway through these metrics also offers significant opportunities for improvement.

This is why choosing the relevant metrics takes precedence.

How can you choose the right sales pipeline metrics that align with your business goals?

1. Align metrics with the business goal you wish to achieve.

Don’t just track numbers; ensure that these numbers boost you closer to your business goals. This data, when siloed, doesn’t mean anything. But within the right context, they mark your progress towards your objectives.

For example, if your goal is to elevate the organization’s market share, then total revenue wouldn’t offer you the nuanced picture. Here, tracking the share of wallet and sales per territory makes more sense.

The crucial factor here is taking a granular approach. If you are dominating the market, how do you ensure that it remains ten years down the line?

2. Leverage a balanced approach.

Identifying bottlenecks is as vital as predicting the success of your sales strategies. To get a more molecular insight into where the lacks and gaps are most prevalent, you can’t just focus on certain metrics while dismissing the rest.

It’s true that the approach must revamp in today’s modern sales landscape. But traditionally relevant metrics take as much precedence as implementing new ones.

This means taking a balanced approach to choosing the right metrics.

Your strategic framework should entail a mix of lagging and leading indicators – one that demonstrates the past performance (closed deals) and ones that forecast (qualified leads).

A balance between them can help your marketing and sales teams to revisit, review, strategize, and analyze accurately.

3. Assess periodically and update your metrics.

One of the most strategic means of selecting the right sales pipeline metrics is assessing what’s working and what isn’t, and updating the list.

It’s crucial to start from somewhere. Each data point can give you the slightest idea into what your sales strategy needs to rework on.

What worked before might not work today. Don’t let the stale metrics prove your efforts ineffective. So, review them periodically to ascertain that they align with the current business challenges and requirements.

4. Get a comprehensive understanding of the entire customer journey.

Numbers wouldn’t always tell you where the rupture is. Most often, sales hit the wall while making a sale or post it.

This is because most only focus on pre-sale metrics and interactions. This damages the customer experience and leads to missed opportunities.

To avoid this, it’s necessary to track the customer experience, too. Metrics, such as sales cycle length, can offer you a 360-degree insight into what’s truly going wrong.

The bottom line?

The sales pipeline metrics you end up choosing must be actionable. If they aren’t, it poses a significant obstacle for you.

These metrics should illustrate a specific behavior – what is happening, what has changed, and what can be done about this.

The right sales metrics don’t merely offer postmortem pipeline analysis. They allow you to proactively make informed decisions and offer clarity into nuggets that often go unnoticed.

Don’t measure everything. Focus on those that align with your goals.

Fundamental sales pipeline metrics to amplify your efforts

Opportunities

The total number of opportunities matters because it portrays the results of your lead generation efforts. Your lead generation efforts should target prospects fitting the ICP, i.e., the ideal customer profile.

What factors qualify prospects as opportunities? There are some criteria that most businesses focus on.

  • Demographics – age, gender, income, family structure, education, occupation, etc.
  • Firmographics – company size, ownership, market share, location, sales cycle stage, financial performance, etc.
  • Psychographics – value proposition, goals, interests, lifestyle choices, etc.

A prospect does not have to follow each criterion, as they vary according to the organization.

To track this, teams must prioritize lead quality because it aptly demonstrates which leads are the most valuable and can easily convert into opportunities.

By analyzing which accounts you count as an opportunity, your team can optimize its marketing efforts and improve lead-nurturing processes to keep them engaged as they move through the pipeline.

How can we assess lead quality?

To simplify this, your sales team can use the BANT or MEDICC lead qualification framework.

The opportunities should be tracked and assessed weekly, monthly, or bimonthly, depending on the preferences of your company. However, it can also be done regularly in case of rapid market fluctuations, multiplying lead volumes, or during push season due to an event.

New Leads

The number of new leads entering your pipeline offers an overview of the success of your marketing campaigns. Additionally, it helps outline your brand’s market reach and offers quantifiable data to back your efforts.

It is necessary to highlight these new leads to establish whether your lead generation strategies are efficient.

Once in a while, we should question whether we are chasing hollow leads with no future potential and wasting our resources.

The end solution follows a comprehensive tracking system and establishes a timeframe depending on the pace and volume of generated leads. Document the number of leads, segment them, analyze the trends, and then compare the different lead-gen efforts to help optimize your strategies.

Overall, lead quality reflects your sales and marketing efforts – how effective they are. But it could largely differ from business size to industry to marketing strategies.

Hence, there’s nothing as simple as “good” or “bad” leads.

By documenting the acquired leads regularly against how many of them actually convert, the results will automatically indicate the performance of your strategies.

MQL to SQL Conversion Rates

This conversion rate calculates the number of marketing-qualified leads who convert into sales-qualified leads. They show interest, sign up, provide their contact info, and subscribe for a demo period to further inspect the solutions offered to them.

These metrics highlight the performance of your lead qualification strategies.

An effective lead-nurturing process will eventually illustrate high engagement results, which may translate to high conversion rates. This indicates a healthy alignment between the sales and marketing teams.

How often do we assess MQL to SQL conversion rates?

Calculate MQL to SQL conversion rates monthly. With this, you will allow the lead qualification processes to work at their own pace, enabling you to make adjustments and understand if they are returning the desired outcomes.

The acceptable range for this conversion rate depends on the industry, business objectives, and past performance – your MQL-SQL conversion rate benchmarks.

Lead Velocity Rate

Velocity measures whether an object is accelerating or decelerating. This applies to a sales pipeline. The lead velocity rate compares the leads generated in the current business period to the previous one.

The velocity rate calculates qualified leads, helping you analyze whether your lead-generation efforts are fruitful and effective. It aids in strategic resource allocation and sales processes, amplifying your efforts.

This metric is crucial to understanding your business revenue growth.

If the number of generated leads for the latest sales cycle remains similar or lower than the previous sales cycle, you know you’re doing something wrong. Thus, it should be assessed monthly or quarterly, depending on your company’s needs.

There is no acceptable velocity rate.

It depends on the industry and your business. Remember, you are your biggest competition.

In every sales cycle, the target should be to generate more leads through improved strategies compared to the previous one.

Average Deal Size

Average deal size is another significant factor that measures the health of your sales pipeline. It represents the monetary value ascribed to a sale.

Tracking the average deal size your business is partaking in helps with sales and demand forecasting.

In the long term, regularly tracking average deal sizes can assist in optimizing and streamlining strategies for marketing and sales initiatives. It is important to reach your brand targets and meet broader market conditions.

Sales Cycle Duration

Analyzing the monetary value of a sale is as significant as calculating the duration of the deal. This metric focuses on the details. It offers an insight into how a deal got stuck and why, with ways to improve it.

Sales cycle duration is the average time a deal spends at every specific stage of the sales cycle. Tracking minute errors resulting in potential delays is easier by calculating the sales cycle duration.

Additionally, this provides crucial insight into the sales cycle length, i.e., the time it takes from the initial contact to the lead being closed. This is also one of the sales pipeline metrics to track.

After all, this also affects the time a deal takes to close.

There are three metrics that we are addressing – average sales cycle duration, sales cycle length, and time taken to close.

These three metrics also help sales forecasting, so your brand can establish practical targets.

A long sales duration can cause a huddle in your pipeline, resulting in relatively high lost deals or drop-offs.

Both these metrics depend on diverse factors, such as the complexity of the product or service. The sales cycles across the B2B landscape are generally longer due to the several decision-makers in the buying committee. And this might delay the purchase as each of them holds their interests and pain points.

You should curate your marketing techniques based on your target market to overcome such hiccups.

  • Establish priority and build trust regarding the prospects.
  • Conduct customer research and feedback programs.
  • Provide social proof through value propositions that align with the prospect’s preferences and pain points.
  • Time-sensitive offers that urge prospects to take action.
  • Streamline and integrate your lead nurturing and sales enablement strategies to retarget interested leads and stay on their tail.

These sales pipeline KPIs are mutually dependent on each other to some extent. But their goal remains the same, i.e., measuring how efficiently your sales and marketing efforts convert leads into paying customers.

Number of Deals Won

This pipeline metric tracks the number of successful deals. This is relative to the total number of opportunities during a specific period.

Conversion rates are crucial to drive business growth.

The higher the conversion rates, the faster your business can attain its goals. This is why conversion rates are one of the most crucial sales metrics.

If the conversion rates are low or don’t align with industry benchmarks, you can outline fresher roadmaps by identifying the areas of improvement.

What factors contribute to a successful deal? What have you done differently to win a deal than the one dropped off?

These are the questions you ask your sales and marketing team while analyzing the conversion rates and other trends in your data.

Most often, the opportunities may be high, but the win rates are low, signifying a major lack in the closing stages of the pipeline.

Age of a Deal

This is one of the effective and simple metrics you can use when a deal is taking an unnecessarily long time to move through the pipeline, or the prospect themselves are taking too long to make a decision.

With an increasingly long decision-making period, it is less likely that a prospect converts.

You need to assess why the lead didn’t convert and where they got stuck.

How do you avoid this? – Identify the bottlenecks, remove them, and boost the sales velocity.

To move this forward, your company should equip the sales representatives with the right resources and sales enablement or acceleration tools to drive the purchasing process.

By accelerating the sales processes, the age of the deal will automatically reduce, offering space for more successful closes.

Sales Rep Activity

This metric offers insight into the sales team members’ sales performance. Measuring this helps foster team productivity and takes team accountability.

It outlines how your sales team performs through outreach emails sent, the number of calls made, and the meetings booked by each sales representative. Track the sales and categorize them based on factors such as rep, team, region, product/service(s), etc. using efficient CRM tools.

Through the results, your team can assess whether the sales rep is compensated for their contributions. And once analyzed, underperformers can be equipped with more resources and support from their superiors.

How do you improve the number of top performers, boost sales rep activity, and amplify sales?

The lack of correct skills and knowledge is a huge obstacle. To improve this, offering regular training and coaching sessions to newbies is a way to go.

The training should include actively engaging with prospects and staying updated with industry trends. Actively assessing and improving individual sales per rep will help boost the sales team’s productivity.

Total Pipeline Value

This sales pipeline metric measures the total value of deals in your pipeline. The total pipeline value depends on the value of the sales opportunity, the pipeline stage, and the time taken to close it.

By tracking the value of the current opportunity, it is possible to measure the total forecasted business revenue. Hence, it is a valuable metric for sales forecasting.

If you compare your total pipeline value with your win rates, it can help you forecast how much sales revenue could be generated at the end of the sales cycle. If combined with the sales cycle length, it can help analyze the total revenue potential.

To calculate TPV, each opportunity is provided with a specific monetary value, helping to estimate the total sales amount.

Customer Churn Rate

Also known as the customer turnover rate, it’s the number of customers you’re losing or drop-off from the purchasing journey.

This can be quite a requisite KPI for businesses, as it indicates customers are losing interest in your product or service.

However, this might not be the actual case.

Drop-off rates are as important as win rates. It becomes difficult to identify the improvement areas without highlighting the weak points.

Customer churn rate is a necessary metric in subscription business models.

It calculates the customer percentage that doesn’t renew and cancels their subscription services within a month or a year. Hence, this pipeline metric is significant for companies that rely on a recurring pricing model like SaaS or subscription services.

Implement CRM tools to determine how to boost the workings of your subscription models. And highlight the number of paying customers currently compared to the beginning.

Customer churn rate formula = (the number of customers lost/total customers at the beginning of the period) *100

For the broader picture, the customer churn rate helps highlight the forecasted revenue, improve customer loyalty, prioritize customer success, and enhance marketing strategies.

Average Customer Acquisition Cost (CAC)

Customer acquisition cost signifies the company’s expenditure on acquiring new customers. It includes marketing and sales expenses, salaries, overheads, commissions, bonuses, etc.

However, CAC in marketing implies something different.

The main expenses entail the content, training, software, and other overhead costs. The goal is to prioritize investments that generate regular returns with minimum maintenance costs, such as curating content-specific blog posts.

It helps you assess the profitability, i.e., the amount you spend on a customer compared to the profit you make from selling your services to the customer.

This metric helps with resource allocation, making your customer acquisition process efficient and simpler. Simply put, there is no significant need to focus too long on this process. Sometimes, an expensive customer might not mean that they are equally profitable.

Your sales and marketing teams should incorporate smart and streamlined strategies. An uncommonly high CAC might mean inefficiencies that require vigilance to enable long-term stability.

Remember to research your target audience. Host automated testing regularly to maximize your ROI using the existing customer acquisition efforts.

How can you calculate the customer acquisition cost?

First, add all the sales and marketing expenses. Then, divide this total by the number of new customers.

CAC = (sales expenses + marketing expenses)/total number of new customers

Customer Lifetime Value (CLV)

After spending an ample amount on your cost acquisition efforts, how do you assess whether it is profitable?

Through customer lifetime value.

This metric calculates the value the customer brings to your business, including the amount they spend on your services, their time as customers, and their purchase frequencies.

By taking individual CLV into account, you can analyze the value of your entire customer base. It will offer insight into how much effort you should spend on customer acquisition.

To enhance CLV, focus on customer retention.

Implement new customer service strategies promptly, addressing their concerns to build a strong professional relationship. When the customers are satisfied and happy, they are likely to remain loyal and purchase your services.

The most significant strategy for driving customer lifetime value is improving customer service, personalized recommendations, discount offers, user-friendly websites, etc.

So, finding a solution based on the metrics can help you improve your sales and marketing strategies. One of which would be to reduce the stages in the sales funnel that are unnecessarily time-consuming.

Now that we have listed the most significant and common sales pipeline KPIs, why is it important to track the right pipeline metrics?

Because even the slightest mistakes can render their efforts ineffective, hampering the ROI, and congesting the pipeline.

Fundamental mistakes teams make while tracking sales pipeline metrics

We’ve established that the right sales pipeline metrics go beyond conversion rates and total revenue. The actual challenge lies in aligning the metrics with business needs and the growth stage.

A majority of teams overlook the nuances, leading to a conundrum. This creates obvious mistakes that fester, especially due to a significant knowledge gap.

What are some of the fundamental ones?

  • Isolated focus on vanity metrics: Even today, businesses continue to prioritize numbers that look good in theory but don’t represent the actual performance. This could create a false sense of progress, while deeper performance issues remain overlooked. And even mislead or confuse the stakeholders.
  • Misaligned or irrelevant metrics: Most teams don’t take the time to understand the broader objectives and how they align with sales performance. This can easily derail your focus, not making any significant contributions to your business’s current priorities. And SDRs might end up pushing low-margin deals, delaying crucial shifts.
  • Overlooking the context: It’s context that takes precedence over raw numbers. Metrics should be segmented by channel type, customer profiles, etc., to spotlight performance gaps. An inaccurate picture can lead to strategies that only work for a specific segment. Marketing and sales must fine-tune their approach accordingly.

Each of the above mistakes can have a compounding effect while tracking your sales pipeline metrics. They distort the overall assessment that impacts how the resources are allocated and how strategies are executed.

But there’s an antidote: intentional, agile, and goal-aligned metrics that align with the evolving sales and growth model.

A healthy sales pipeline is like a cocktail glass.

Jeff Hoffman, an entrepreneur and sales executive, argues that a sales pipeline is a cocktail glass rather than a funnel, stating that the latter is inaccurate. Most prospect drop-offs happen near the top in the first stage when the lead comes across a demo, trial, or sign-up.

After passing through this milestone, the opportunity pool should remain approximately the same, and the probability that the opportunity is won is highly likely. This is the make-up of a healthy sales pipeline.

To some extent, we may think about how the shape of the sales pipeline aligns with reality.

The stages and shape of this movement vary according to the buyers, industry, and sales processes.

Why is sales pipeline analysis crucial? To optimize your sales performance, client experience, and drive business growth.

Maintaining a simple and efficient sales pipeline is healthy for your business and sales revenue. But how do we know what “healthy” looks like?

FAQs

1. How can you effectively assess your sales pipeline?

A. Assessing your sales pipeline isn’t about counting closed deals or appointments booked. It’s about deal velocity and step-by-step conversion rate, among others.

To effectively assess its health, your teams must dive into comprehensive reports to spotlight bottlenecks and performance gaps. And segregate the metrics’ analysis by deal type or client profiles, or lead source, etc., to identify hidden ruptures.

2. What are sales pipeline metrics?

A. Sales pipeline metrics are qualitative and quantitative values that track the number and quality of created opportunities. These are crucial to demonstrate the health of your sales pipeline – whether your sales strategies are bearing the desired outcomes.

The common metrics are pipeline value, customer acquisition cost, customer churn rate, deal age, number of deals won, etc. A mix of both lagging and leading metrics provides a curious insight into what’s happening and the revenue potential.

3. How can you track sales pipeline metrics?

A. Generally, sales pipeline metrics can be tracked through your CRM systems through detailed reports and comprehensive dashboards. Your focus should be directed towards updating the deal progression, individual sales rep performance, sales cycle length, etc, ones that actually align with your core business goals.

Regularly tracking these metrics can help you tweak your sales strategies to elevate their effectiveness. And improve revenue forecasting.

4. What benchmarks or industry standards should I compare my sales funnel metrics with?

Industry benchmarks such as a 25-30% win rate and a 3x pipeline coverage ratio can add an advantageous starting point for you. And one of the most relevant benchmarks to compare with is your organization’s historical data.

While focusing on the competitor can help you outline a strategic edge, prioritizing your internal metrics can highlight what needs tweaking, whether it’s cross-departmental alignment or an update in infrastructure.

5. What are the most common pitfalls businesses face in tracking sales funnel metrics?

One of the most common pitfalls is depending on inaccurate data that doesn’t offer any useful insights. They can be misleading for your teams as well as stakeholders. Additionally, most businesses make the mistake of tracking the wrong metrics, overlooking segmentation, or merely focusing on lagging metrics.

5-Step Sales Process : The Effective Framework - Ciente

5-Step Sales Process : The Effective Framework

5-Step Sales Process : The Effective Framework

With an undefined sales strategy, reaching the critical mile may seem like an endless struggle. These 5 steps map out the route to closing more deals.

The success of your brand relies on a solid sales foundation. Without knowing the critical markers, it is hard to measure sales performance. The lack of a clearly defined sales strategy may be why 45% of surveyed sellers believe their biggest challenge is incomplete data. When your sales team follows a system, it allows them to take the right actions at the right time. The 5-step sales process is a structure to improve the efficiency of your closed deals. It is a guideline to ensure that you are on track and open to tweaking your sales approach.

While the sales approach requires tailoring as per your product or services, the five-step sales process lays a strong foundation to get the pipeline moving. Your sales team can utilize this linear approach to move through each step efficiently. These sales steps allow you to seamlessly monitor the performance and identify gaps that require improvement.  

Mastering this framework makes it easier to tweak or modify your sales process strategy in alignment with your goals and the client’s needs.

Step 1: Prospecting

Prospecting involves developing a list of prospects likely to convert into paying accounts. This step has everything to do with researching potential leads and knowing them as much as possible. Understanding the target niche is the stepping stone to drive a sales strategy that yields the results. Focus on your ICP instead of randomly targeting a pool of audience and going nowhere in the journey.

Step 2. Connecting with the customers

Ace the first impression with your target audience. While interacting with the prospects, work toward not making the conversation sales-y. The goal of this step is to transform from a generic call to schedule a first appointment that could potentially close a deal. So, setting the tone right is of utmost importance here.  Building a strong relationship with your client can go a long way.

Step 3: Identifying the pain points

Spend enough time figuring out the challenges of your target audience. You can begin by asking relevant questions to draw out the problem and understand how your offering could address the pain points. As you do your research, also find out their preferred solutions and whether they have budget constraints. Communicate your understanding of their problem and how your solution can help. When doing so, emphasize the winning points while at the same time not sounding too sales-centric.

Step 4: Sealing the Deal

Closing a deal involves a series of discussions and reasonings. As you move towards the final step, make sure you walk through the right questions. Talk about the details of your sales flow chart and be open to handling questions and client objections. Have a clear plan in place as to what you will do if the client objects or if they are not ready to commit yet. Such preparation will pave the way for overcoming roadblocks swiftly.

Step 5: Keeping up with the Follow-up

The journey doesn’t stop at signing a deal. Once you have closed a sale, make sure to follow up with the client. You need to make sure that the client receives the product/service as discussed and the whole experience simulates customer satisfaction. This small initiative can work in your favor, promoting brand loyalty. A happy client is likely to be loyal to your brand. At this stage, do not hesitate to ask for referrals to generate new leads.

Wrapping up

Sales are centered around fulfilling milestones. Every aspect of the sales cycle revolves around garnering the right clients, identifying their pain points, strengthening bonds with them, and offering an ideal solution. These 5 steps can be a real game-changer for your business, aligning with your vision and adding structure to an otherwise complex sales process. You gain clarity and can deliver the best solution to address the customer’s pain points.

SEO Tools 2024

17 Best Trending AI SEO Tools in 2025

17 Best Trending AI SEO Tools in 2025

As AI ramps up its capabilities, it is time to start using it now. Here’s the best 17 AI SEO tools for you.

SEO is not dead. But it is changing with AI. AI is a great disruptor, and it will not stop for a long time. But does that mean everyone working in SEO should be scared? No, it means it is time to pivot and adapt. After all, SEO is all about the customer experience.

Change is scary. But we can help each other navigate the market safely. There is an abundance of SEO AI tools that promise to boost search engine rankings and help ease the pressure off SEO teams. These tools promise to create helpful and high-quality content, improve existing content with strategic target keyword insertion, provide market research, and everything in between. These AI SEO tools might be the game-changers.

They are built to save time and help you focus on vital things.

Namely, creative strategies.

However, AI tools are abundant in the market. Which one should you go for? It will depend on your preference. And, boy, SEO analysts have a lot of preferences.

We will go through the 17 best SEO AI tools in the market. We chose them based on G2 Reviews, with at least 100 reviewers using them (at the time of writing). Most tools except Rytr, Gemini, and ChatGPT were created for SEO.

We will break down the consensus and go through the features so that you can find out which tool is the best for you.

AI SEO is part of the marketing automation toolset. The tools selected here are in no set order.

AI SEO is changing the organic landscape, but you should not be afraid to experiment.

How is AI changing SEO?

AI has long been causing disruptions in the market. And marketing seems to have taken the brunt of it. Look at how Google is changing. AI is called the End of Search.

apocalypt GIF

And yet, marketers and creators alike have an optimistic view of AI in terms of growth and success.

AI has made human authenticity a necessity, and vital players in the SEO scene have understood this. SEO will change to become more human-centric and brand-focused.

It will no longer be about getting backlinks and views, but it will talk about brand values and the expertise a brand brings. EEAT, Google is looking for brands that embody this conviction.

SEO is just another part of a cohesive experience. And marketing will need the help of AI to bring this cohesion to the forefront of their campaigns. The seamless experience is not a simple task but coming together of different channels echoing a cohesive message. Yours.

And the message has to be based on the EEAT principles outlined by Google. Google understands what marketing teams need and provides clues and hints about where they should go next.

Why does a marketing team need AI SEO?

image

The screenshot above seems like it came out of the dreams of a graphic designer.

Simple, sleek, and clean. It is an AI snippet. And it is created through an AI SEO tool. Look at the way it integrates a seamless experience for the user. One of the foundations of SEO is to provide the rich user experience.

And AI tools will help you provide that. Either you can create your own AI tools, and good luck with that. Or you can use the tools that are available in the market.

We have selected 17 AI tools for your SEO campaigns. Let us see what they have to offer.

You can go through our list of 17 best tools in the industry. There are differences in them, and they provide a varied experience for your users and your teams.

By analyzing these tools, you can understand which one to go for per your unique needs.

You can go through our list of 17 best AI-powered SEO tools in the industry. There are differences in them, and they provide a varied experience for your users and your teams.

By analyzing these tools, you can understand which one to go for per your unique needs.

Writesonic

Price: Free and Paid Based on your requirements)

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G2 Review:

  • Score: 4.75/5
  • Number of reviews  1,959

Writesonic is a beloved tool. One look at their g2 page, and you will understand the value it brings to the table.

Writesonic provides its users with a free demo to try and test to see if the tool resonates with them. There is a host of tools available for you. Their free tools include: –

  • Sentence Rewriter
  • Title Generator
  • Rewording Tool
  • Script Generator
  • AI Content Detector
  • Humanize AI Text
  • AI Answer Generator
  • Meta Description Generator
  • Paraphrasing Tool
  • Conclusion Generator
  • Content Idea Generator

Of course, each free tool has its limitations, but they are rewarding nonetheless. Perfect for small teams starting and venturing to see what AI-driven SEO tools are available in the market. Other than that, Writesonic has its proprietary AI Model gateway called the GPT Router. It pulls from different LLMs like ChatGPT, Gemini, Meta AI, etc., to keep its information diverse. Its AI system then detects search intent classification and creates content for your website.

Writesonic provides:

  • Real-time data on the latest topics Fact-checked, cited content.
  • Competitor semantic analysis
  • In-depth web research
  • Automated internal linking
  • Word length control
  • Brand voice and style customization
  • Built-in SEO-optimized content Auto-generate FAQs

AISEO

Pricing: Paid

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G2 Review:

  • Score: 4.6/5
  • Number of reviews: 560

AISEO is dedicated to writing high-quality SEO-friendly content that targets entire SEO content lifecycle and helps companies outrank their competition.

  • The AI SEO tool simplifies complex SEO tasks through automation so that SEO analysts can focus on their digital strategy.
  • Creates informative and unique content for search engines and the user. This content is undetectable, maintaining your site’s integrity and uniqueness.
  • Improves the readability of your content
  • Has predictive analytics to help refine your effective SEO strategies.
  • Multichannel content optimization and Customizable AI tools.

AISEO also provides free tools for creators to ideate and create. And free tools for the analyst.

AISEO is recommended for teams with limited resources. It will elevate your efforts and let your team focus on the message part of marketing rather than mundane and repetitive tasks..

SURFER

Pricing: Paid

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G2 Review:

  • Score: 4.8/5
  • Number of reviews: 511

Surfer describes themselves as a 24/7 SEO expert. Providing you and your teams with every SEO tool under one belt. The tool promises to research, write, and optimize for you in under 20 minutes.

From editing to optimization— Surfer provides a broad range of AI SEO tools for their users. Surfer AI has free tools that marketing teams can use to enhance their content or create a new content strategy.

But these have limitations, and for bigger projects, you will have to use the paid versions. Whether you are a freelancer or an agency, they have options and solutions catered to your needs.

SEMRUSH

Pricing: Free/Paid

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G2 Review:

  • Score: 4.5/5
  • Number of reviews: 2,119

Who does not know SEMrush? Often touted as the best SEO tool (uh-oh all Ahrefs users must have felt this one).

SEMrush is not a conventional AI tool. It still sees you taking most of the effort. However, with the new integration of AI, SEMrush has improved its capabilities.

Their topic research is a fantastic tool, while the SEMrush writing assistant helps the readability score and maintains a consistent tone of voice.

It is a multidimensional tool that helps SEO analysts and advertisers craft a robust keyword strategy and takes a granular approach to SEO with the assistance of AI.

Screpy

Pricing: Paid

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G2 Review:

  • Score: 4.7/5
  • Number of reviews: 147

Screpy is an All-in-one SEO toolset. It automates most of the basic tasks.

It checks: –

  • Your keyword search rankings
  • Monitors the page speed
  • Monitors SEO metrics
  • Monitors uptime and downtime
  • And syntax checkers

According to Screpy, they monitor your site’s overall health and provide updates and actions to improve it.

Screpy is priced humbly. It is a good option for budding teams learning about organic search and its process.mbly. It is a good option for budding teams learning about organic search and its process.

Scalenut

Pricing: Paid

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G2 Review:

  • Score: 4.7/5
  • Number of reviews: 304

Scalenut calls itself the AI-generated content research and copywriting platform. Their AI creates content, does keyword research, adds automatic internal links wherever necessary, and competitor analysis.

It also has tools to identify any gaps in your content and suggest improvements or do them for you. It is a handy tool that streamlines the entire SEO content creation process.

FRASE.IO

Pricing: Paid

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G2 Review:

  • Score: 4.8/5
  • Number of reviews: 295

Frase distinguishes itself by placing itself as an empowering tool for creators. Frase offers all the basics of an AI SEO tool for creating content and optimizing it for search results.

But it goes further and helps you create ‘Wikipedia concept maps’. Which are visualizations of connecting topics related to the query. SEMrush users will be familiar with this one.

Frase integrates with your GSC accounts to provide a comprehensive report and analysis of your queries, pages, and site health.

This AI SEO tool has a free trial, and pricing varies on the plan..

Writer Zen

Pricing: Paid

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G2 Review:

  • Score: 4.7/5
  • Number of reviews: 201

WriterZen is workflow-centric AI SEO tool. Like all tools, it helps you research, track, and deliver SEO-optimized content.

They also provide valuable insights into keywords and titles using the Allintitle and Keyword Golden Ratio.

The all-in-title helps WriterZen find the best keywords for your strategy. On the other hand, the KGR provides keywords with levels where the all-in-title competition is low, and the search volume is high. It is an interesting concept worth exploring.

It is a paid AI SEO tool. And the plans vary according to tiers.

INK for ALL

Pricing: Paid

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G2 Review:

  • Score: 4.7/5
  • Number of reviews: 169

INK-as-a-service. If you go to the boot camp section of INK for all, you will find that with a certification course.

Ink places itself in high esteem. They offer to save you countless hours. One of the highlights we found was the relevance task.

The AI uses state-of-the-art technology to identify what is relevant to your users and optimize your content to reflect intent. With it, you can understand the strategy of your top competitors and help you fill the gaps in your plan of action that may be missing.

There is a free trial and two tiers at varying prices.

Narrato Workspace

Pricing: Paid

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G2 Review:

  • Score: 4.9/5
  • Number of reviews: 162

Narrato offers a boundless experience compared to its competitors. It provides a complete content workflow management system for its users, enabling them to post their content in one click on WordPress and Webflow. Narrato also provides a social media management and content creation suite.

Narrato does something different than most AI SEO tools in the market and is worth checking for its host of suites and tools. As well as their AI Content Autopilot.

They have a pro and business pricing model.

Gemini

Pricing: Free/Paid

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G2 Review:

  • Score: 4.4/5
  • Number of reviews: 153

Gemini is not your traditional AI SEO tool. But it is free-to-use and quite helpful if you know your prompts. Like most LLMs, Gemini offers your resources to conduct research and ask for advice. Or write your content (which is not a good move). But it does create content outlines that get your creative ideas flowing.

It is also a good companion for editing. It gives you pointers to strengthen your blogs, articles, and posts. And dive deep into topics quickly. For content teams tight on budget, give Gemini a try. It does shine with its host of data.

It has a free model and a paid one.

ChatGPT

Pricing: Free/Paid

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G2 Review:

  • Score: 4.7/5
  • Number of reviews: 578

Does this need an intro? But as an AI SEO tool, we need context. The updated version of ChatGPT is effective for many things, including SEO.

It is not a dedicated SEO tool and has its limitations. Nonetheless, this revolutionary tool elevates content and gives you tips on improving it for your strategies.

Its free version is good; the paid version is a winner. It does many things for you, especially with the 4-o update. The only drawback of ChatGPT and Gemini is that it needs good prompts to deliver compelling results.

And experimentation with those results.

Moz

Pricing: Paid

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G2 Review:

  • Score: 4.3/5
  • Number of reviews: 497

Another big player in the SEO game, Moz Pro is a favorite of SEO analysts. There is a fair chance that every expert you know has a Moz extension.

They are trustworthy. Having entered the AI game recently, Moz has worked to improve SEO workflow and provide helpful insights with its tool. It offers a comprehensive toolset with the addition of AI.

From link building to local listing, Moz AI offers to lessen the burden on teams by automating mundane tasks.

Moz Pro has four tiers of pricing models for unique needs.

Ahrefs

Pricing: Paid

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G2 Review:

  • Score: 4.5/5
  • Number of reviews: 534

Ahrefs is probably the most stand-out tool on this list. It is often considered the best backlink builder because of its robust data sets. And they have combined AI to create powerful analytical models.

From the content analysis tool to recommending features based on user data, Ahrefs lets its data sets create predictive analysis to enhance your strategies.

There are four pricing models in Ahrefs.

Jasper

Pricing: Paid

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G2 Review:

  • Score: 4.7/5
  • Number of reviews: 1,243

Jasper is beyond normal AI SEO and offers tools for the entire marketing lifecycle. It is often said to be the best AI writing tool on the market.

Jasper helps you manage your account and create content in collaboration with its different users in the same team. It also has multi-language support, integration with other apps, brand voice consistency, and more.

It has three pricing models. For the business suite, you will have to contact their sales team.team.

Copy AI

Pricing: Free/Paid

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G2 Review:

  • Score: 4.7/5
  • Number of reviews: 179

G2 Review:

  • Score: 4.7/5
  • Number of reviews: 179

An all-in-one sales and marketing AI tool. Copy AI has been making waves as a go-to AI SEO tool.

Their GTM-based approach to sales and marketing allows teams to create strategies based on it and lets you collaborate with teams using AI. Copy.ai enables sales and marketing alignment with its use of AI solutions.

It helps the teams craft content that ranks, does keyword research, and long-form and short-form content based on customer insights.

There is a free forever model and two pricing models for this AI SEO tool.

Rytr

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Pricing: Paid/Free G2 Review:

  • Score: 4.7/5
  • Number of reviews: 804

Rytr is not a dedicated AI SEO tool, it is used to write content and copies. It is very well received by people who use it.

It can be used to create content of high value for better user engagement. It will help your team boost content creation process, and extract value keywords from your competitors. It is a good tool for any marketing team. It is free and has two priced models.

Using AI in a changing world can be daunting, but it is why we must experiment with what we have and strategize accordingly.

Using AI has become the norm for most marketing teams. And they are cautious and optimistic about it.

There is growing evidence that AI will not take away creative jobs. Rather, we must enhance our creativity by learning to think in new ways.

And that can only happen through a force that does not think like us or has more freedom to create connective pathways. Use AI to find what it can do for you and what it cannot.

That will make all the difference in your strategic approach and your competitors. But do not make it your sole reliance. Humans are getting better at identifying completely AI-generated material, even when humanized.

FAQs

Can SEO be done by AI in 2025?

Currently, AI is performing basic SEO tasks. SEO reporting is one of them. Also, keyword tracking, basic on-page optimization, and website analysis will be automated. But, it wont fully replace SEO expertise in strategy creation, report creativity, and changing SEO methods according to trends. AI supports SEO, but human input is still essential for long-term success.

Is AI writing good for SEO?

No, AI writing can be a go to go outline for writer to write content quickly. But on the other hand, to ensure quality, engagement, and relevance, the subject experts need to be involved. At the end, human expertise is important to deliver relevancy, quality, and freshness.

Is AI a threat to SEO in 2025?

AI is not necessarily a threat to SEO, but it will change the approach how SEO was being executed.
It still requires human oversight for strategy and creativity but here the basic SEO involvement will be gone. Every AI tool is a thread for those tasks that follow limited rules.



The road to success 1

Go-to-market Strategy SAAS: The road to success

Go-to-market Strategy SAAS: The road to success

A product launch is as effective as its Go-to-market strategy. With so many moving parts, cross-departmental collaboration ensures GTM success.

Go-to-Market is a success story waiting to happen. Within the ever-growing product market, businesses have had to compete with each other over the essential resource: the buyer.

Although it seems negative, many organizations have taken this rapid competition as a challenge and pushed the boundaries of innovation: Culminating in GTM.

GTM has allowed businesses to develop strategies and reach their product-fit market in an efficient time, which helped them hit business objectives that aligned with the product’s launch.

Entering the market can be daunting for innovators, traditionalists, and disruptors alike. Who will buy our product, and why will they buy it? The GTM strategy empowers businesses to answer these questions and eliminate the noise that follows it.

From marketing to product, cross-departmental collaboration is necessary for the process, ensuring a smooth and seamless launch. Innovative companies outperform their competition by delivering value through every stage of the buyer journey, whether content creation or sales.

The B2B industry has especially benefitted from Go-to-Market strategies. It has to be evaluated as a game changer in the SaaS market. And it all begins by understanding what it does for you.

The buyer has become self-directed. Armed with the knowledge, and opinions of many, the B2B buying committee (a.k.a. the buyer) has an array of choices.

Each organization in the B2B sphere releases products that bring an advantage to them. But, the buyer has their own needs and risks to mitigate. How will they choose the best product?

Here is where GTM comes through. It is not just marketing, as some may believe. It is an entire organization working together to make their product launch a fast success.

What is Go-to-Market strategy?

It is an organization creating a GTM strategy to identify and reach its ideal buyer when introducing a new product. Or an old product in a new market.

By bridging the gap of uncertainty between the business and the buyer, Go-to-market demonstrates the unique value an organization brings to the table. And helps the buyer understand what your product does for them.

It provides your teams with a roadmap towards product success. This involves the KPIs your teams have identified and the possible interactions of your ideal customer with your product or services.

The Motions of GTM Strategy.

An important concept of the GTM strategy is the motions. These are the pathways an organization uses to reach its relevant customers.

Some of the motions of GTM are: –

  1. Product-Led
  2. Inbound
  3. Partnership Marketing
  4. Community-Led
  5. Event-led
  6. Outbound

While you research which strategies to use, you will be overwhelmed by all available options. And that is okay.

Most online resources present this picture of using a multi-motion approach for GTM. But that is not possible. Your organization will have to find its unique motion or motions by identifying what your audience feels comfortable with and by understanding your budget.

Let us be real. Many start-ups and emerging SaaS companies do not have the budget to pull every stop. Here, Maja Voje suggests being realistic and choosing one motion that is doable by your organization.

And that is sage wisdom for those experimenting with GTM. And SaaS in general. Be realistic.

Go-to-Market Approaches for SAAS

Understanding your potential buyer is crucial for choosing sub-strategies and complementing motions for your product. They will help you understand the market you are targeting and the approach you must take to penetrate it successfully.

These sub-strategies are: –

  1. The Bottom-up approach or the product-centric approach
  2. It involves building a relationship with the end users and small teams. This approach is perfect for organizations that are starting and do not have a huge budget. It helps early-stage SaaS companies achieve organic growth through word of mouth and referrals. It is a very content marketing-heavy approach.
  3. The Middle-out GTM approach or the sales and product approach
  4. The middle-out GTM approach is ideal for established companies entering new markets or expanding their reach. With this approach, a business may target specific market segments and direct its sales and marketing efforts through outbound and inbound campaigns.
  5. The Top-Down GTM approach or the sales-led approach
  6. The top-down approach is known for its high-revenue potential. It targets organizations with substantial revenues. This is the “traditional” way of SaaS marketing. It has longer sales cycles, enhanced brand recognition, market penetration, and high costs. It is a high-risk high-return strategy.

When implementing your GTM strategy, you must choose between the three approaches. And it depends on the budget of your business.

Approach 1 – GTM Strategies Provide Positive Signals to the buyer

Go-to-market strategies serve more than just a roadmap for the organization. They also provide positive markers for the buyer.

The buyer and vendor relationship is built on trust. SaaS companies need to show their product can solve target market problems. That is the core of Go-to-Market. Show the right market that your product will solve their problems and mitigate risks.

GTM enables an organization to create experiences that reflect these ideals. If your buyers do not perceive you as an expert in your domain through lackluster sales processes or irrelevant marketing messages, they will be put off by your brand and product.

Approach 2 – Go-to-market strategies work best when there is cross-departmental collaboration.

While sales and marketing alignment is becoming the norm, GTM takes it a bit further and involves vital players from: –

  1. Product
  2. Marketing
  3. Sales
  4. Customer Success
  5. and Finance.

These are the core members of the strategic team. They are not limited to these five teams and could have more teams involved, like operations for development. In short, the whole organization must work for GTM’s success.

Each member(s) of the individual teams acts as a point-of-contact between the GTM team and departmental stakeholders, ensuring a smooth workflow and transfer of information between the teams.

The transfer of information provides a vital recipe for GTM success. Every Point-of-Contact should be intimately familiar with the KPIs set by their departments because it will be the driving force of the roadmap.

Asana has one of the best GTM templates.

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As you can see from their templates, and they agree to it. Go-to-market has a lot of moving parts. It is necessary to understand that a successful GTM strategy comes from visualizing the journey and executing it as close to the original vision as possible.

Approach 3 – Joining the moving parts

What are the moving parts you can identify in your organization? For SaaS companies or typically B2B companies, moving parts consist of Marketing, Product (or service), Finance, Customer Success, and Sales.

1. Marketing

Marketing is seen as the driver of the strategy, which is not false but is not the complete truth either. Marketing is rather in charge of gathering the perspectives and honing them into a single message.

This requires the marketing leaders to collaborate closely with the other teams.

2. Finance

That brings us to finance. GTM strategies hinge on the financial success of the product entering the market. Every ad copy, content marketing strategy, Email campaign, etc., should be seen through a fiscal lens.

What are the metrics of success? ARR, or Annual Recurring Revenue, has been a solid metric for SaaS companies thus far, but it is a long-term metric. Based on your approach and the size of your company, the finance team can create similar short-term leading and lagging metrics of success, which is crucial for your GTM success.

One such metric is the potential buyer’s initial interactions with the product.

That means, after your potential buyer has used the demo, are they satisfied? And who best to answer that but

3. Customer Success

It is up to Customer Success to ensure that your product is solving the pain points of your potential buyer.

What do they like and dislike about the product?

  1. Is it something that can be solved by learning more about the product?
  2. Or is it something fundamental about the function of the product?
  3. And how can we, the developers, solve buyers’ queries?

Customer success, finance, and marketing must evaluate customer lifetime value as a KPI.

They ensure a smooth transition from this phase to the next.

4. Product

Product plays a pivotal role in the GTM strategy and could be called the true driver of your long-term strategies. Today’s marketing is product-led. Marketing has to be heavily involved with product teams to understand the unique proposition of the product and what it does for the user.

Product dev leaders must be involved in the messaging and conveying of the marketing campaigns.

  • Has the message conveyed the solution of our product in a way that touches on buyer concerns?

Product teams must understand buyer needs. And for that, sales is the only place to go.

5. Sales

The lynchpin of success. Sales has to act as a consultant to the buyer. Before selling

  1. they must understand the product
  2. what it does for the buyer
  3. and what the buyer wants to solve.

The fieldwork that sales do empowers the rest of the teams to create a cohesive vision. It reduces the uncertainty of understanding the buyer and market.

The information that sales gather cannot and must not stay in a silo. Maruch with the ICP.

Salesforce and Slack: The two GTM successes examples of the SaaS era.

Slack or Bottom-Top approach

Slack is the master of PLG or product-led growth. What is their recipe for success?

  1. Their awesome product (And whoever has used Slack knows it)
  2. Community-Led (They have communities in most major cities)
  3. Content (Look at their blog, and you will understand what we mean)

Slack is successful because it understands the vital aspects of work communication. It should be quick, flexible, and connected —allowing for streamlined communication and workflows. And while working on their app, they gave Slack away to teams and understood the successes and failures of their product. Iterating the product as they went.

Slack gave and still gives a freemium model for teams to use. And it is a great product. They invited people to use Slack—end users—to try it out. It was a massive success.

People who used the app became its champions. They entered a market rife with competition and won.

Their only competitor can be said to be Microsoft Teams. Imagine that.

No company signifies a Go-to-Market strategy better than Slack. They made it possible by being consistent with their messages, understanding their limitations, providing the end user rather than big corporations, and iterating their product based on user feedback.

Salesforce or the Top-Down Approach.

Salesforce is synonymous with SaaS. Being a cloud-based software, the original CRM was easy to adopt and set up by big enterprises. And Salesforce knew this.

They made the software free for the first year for teams of up to 10 members. And, like Slack, they had a great product.

But what set them and their GTM apart is the Trailblazer’s community program. The first product community. Salesforce realized that their teams enjoyed solving answers to problems they didn’t know and then shared their knowledge.

The trailblazer community was thus formed as a group of experts who could solve problems and share them with their peers. This helped customers and users by providing real-time value on dynamic problems.

It was revolutionary.

Salesforce’s approach shows that having a product and community is the key to GTM growth. Along with iterating and improving the approach to the strategy.

They understood the need for knowledge workers to share and solve problems, connecting them to like-minded individuals and teams.

It worked because they understood the unique behavior of Salesforce users and created a solution around it.

Go-to-market is about understanding the product’s solution and user behavior.

GTM is a recipe for success. But it is a long-term and iterative process. There has to be room for pivots and flexible changes.

But two things remain unchanged.

  • What unique proposition is your product tackling?
  • How does the user behave with it, and how can an organization leverage this behavior as an advantage?

The strategy moves around these two levers, and they are customer-centric.

Understand your buyer, iterate, find a unique proposition, and reiterate. That is the essence of GTM.