Marketing Budget Approval: How to Get Yours Greenlit, According to Marketing Experts & Data

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Securing approval for a marketing budget is often tough, especially in times of economic uncertainty.

Click here to download 8 free marketing budget templates.

I haven’t been there myself, but my learnings from C-level marketers show the many complexities around marketing budgets.

Budget slicing is a common occurrence. Entire initiatives are sometimes shelved.

But there are also those glorious moments when your strategic budget proposal gets the green light.

In this post I’ll share what I learned about marketing budget approval from experts in the field, industry data, and more.

In this article:

Expert Marketers Featured in this Post

To help you navigate the budget approval process, I talked to three marketers who’ve been in the trenches for 7+ years:

Their stories not only shed light on what it takes to secure a budget, but also offer practical tips you can use right away.

headshots and titles of experts later quoted on marketing budget approval

When I spoke to Sabina Brdnik, I learned the Tretton37 team follows a 4-step budget approval process, which you can adopt.

  1.  Forecasting
  2.  Budget proposal writing
  3.  Review and revision
  4.  Execution and reporting

Forecasting

Consider this the research, planning, and brainstorming phase. It includes evaluating past performance, analyzing market trends, establishing marketing goals, building your marketing strategy, and estimating associated costs.

Brdnik believes forecasting is the most important step of the budget approval process, and for good reason. If your forecasts aren’t thorough, you’ll struggle to build a compelling case for your budget.

Budget Proposal Writing

Outline the outcome of your forecast in a concise budget proposal. An excellent proposal includes your marketing goals, initiatives, channels, proposed expenses, and, when possible, expected ROI.

For Brdnik’s team, they first “present a detailed plan showing how much money will be invested in individual parts of [the] marketing plan (social media, SEO, influencers, etc).”

Pro tip: Focus your proposal on key points to ensure executives clearly understand the situation. Be concise, as they are likely reviewing proposals from multiple departments.

Review and Revision

Present your budget proposal to the company’s senior management for review and sign-off. Sometimes, they may instantly approve the budget and allocate the required funds. Other times, you may need to provide additional information or make adjustments.

Execution and Reporting

Brdnik says, “During the year, we implement the approved plan and track the actual spent budget versus the forecasted budget.”

Brdnik recommends setting aside 10% of your annual budget as a contingency fund for unexpected circumstances or opportunities, such as a viral trend that could help enhance brand visibility or testing out the new shiny AI tool that will help the team create better and faster articles.

As Johnny Hughes said, “New tools emerge each month, along with new opportunities and risks. We have to be extremely agile and conduct weekly efficacy reports to inform spending.”

Evaluating your budget’s effectiveness and documenting lessons learned helps future budget cycles. “HubSpot — and its endless integrations and dashboards — is our MVP tool that supports this effort,” Hughes adds.

Pro tip: To track your budget, consider using free marketing budget templates. They help you track marketing spend across various channels like content, paid advertising, PR.

Benefits of a Budget Approval Workflow

Below are three primary benefits of a budget approval workflow.

1. Faster Approval Times

Without a budget approval workflow, securing your budget can feel like driving through thick fog. The journey is slow and uncertain. A standardized workflow clears the fog, clarifies the next steps, and lets you move faster.

You can further increase speed by automating your workflow. Business process management software like Jira and Monday.com can help you eliminate hours of manual budgeting activities. For instance, instead of exchanging emails endlessly, an automated workflow can notify assignees to act.

2. Compels You to Set Robust Marketing Goals

Data from CoSchedule's 2022 Trend Report reveals marketers who set goals are 377% more successful than their peers.

Yet, 30% of marketers do not set specific goals. I have seen firsthand how this results in wasteful spending — and worse, makes it difficult to measure success.

But with a marketing strategy required in your budget approval process, setting clear marketing goals becomes a must, leading to better resource management.

3. Democratizes Decision-Making

Top leaders need to delegate decision-making so they can focus on other high-level activities. A budget approval process lets them establish boundaries and set clear guidelines for decision-making. Once the budget is approved, managers can exercise autonomy within established limits.

Marketing Budget Approval

Why Marketing Budgets Are So Hard to Get Approved

When I spoke to Pamela Bump, she told me, “It’s often hard to tie marketing efforts and KPIs (like traffic or reach) to direct ROI (like sales or renewals).” That’s why leadership is sometimes reluctant to allocate funds to marketing.

Marketing attribution helps address this challenge by allowing marketers to analyze the buyer's journey, identify effective touchpoints, and measure the impact of each effort.

However, recent events suggest attribution is dying and becoming increasingly difficult. Apple‘s App Tracking Transparency (ATT) framework and new privacy laws in New York, California, Canada, and the EU have significantly limited marketers’ ability to track buyers.

Additionally, about one-third of internet users use ad blockers which block tracking scripts.

These developments complicate efforts to measure marketing effectiveness and convince higher-ups that marketing investments will pay off.

How to Get Your Marketing Budget Approved

I asked our marketing experts to share tips to help others secure their marketing budget. Here’s what they said.

Align Marketing Goals with Company Goals

“The key to any successful budget request is knowing what KPIs your upper leaders need to drive,” says Bump. “Spoiler: They’ll likely tie it to company revenue,” Bump adds.

Your budget proposal should show you understand your leadership’s priorities and want to achieve them. Without this, you don’t have a leg to stand on.

Show Path to ROI

Determining marketing ROI can be tricky. Still, it’s important to justify your budget and prove it’s an investment, not a black hole sucking up the company’s profit.

As Bump shared, once you know the KPIs that resonate with your executives, you can show how your investment could drive ROI directly or support those KPIs.

For example, if you pitch for more blog writers, emphasize how the content will generate leads that drive visitors further into the sales pipeline, not just increase traffic or clicks.

Hughes’s team still relies heavily on marketing attribution data to track ROI.

First, Hughes ensures alignment on the key channels driving business growth. He also ensures the attribution data is clean for accurate ROI reporting. They then track returns on a week-over-week basis.

This approach helps Hughes avoid pushback from stakeholders.

Use Data to Justify Your Budget

“Ground your request and any estimates you make in data-backed evidence,” says Bump.

Without data, all you have is an opinion. And an opinion alone might be unconvincing.

Hughes considers data a “fortress of numbers to defend against budget cuts and welcome new investments” and says, “We rely heavily on ROI metrics from previous campaigns, market trend analysis, and competitive benchmarking.”

Similarly, Brdnik says that competitive benchmarking is vital when pitching new ideas without past firsthand data.

“I had an interesting experience getting approval for a new TikTok campaign. We are not active on the platform. So, to strengthen our pitch, we used competitor analysis showing similar brands saw up to a 30% increase in engagement,” Brdnik explains.

Request a Small Budget for New Ideas.

Justifying the budget for similar/past campaigns is pretty straightforward. For instance, if a Cost Per Purchase (CPP) campaign generated $100K in revenue for a $20K spend, it easily justifies a similar budget for future initiatives.

However, as Brdnik shared, “The problem arises when we have to justify more innovative/new ideas and strategies based on no previous data.”

In such situations, be more rigorous and creative in vetting opportunities. Then, run small tests to validate your hypothesis. If successful, securing additional investment becomes easier.

Brdnik said she allocates up to “20% of the annual budget for new/innovative projects.” Data from these tests then guide the next steps.

To improve their chances of success, Brdnik sticks to best practices when testing new ideas, and Hughes recommends implementing a flexible budget model and making real-time adjustments based on performance metrics.

Get Early Support

There's a lot of lead-up work involved in getting marketing budget buy-in. If you’re in a big company, you likely can’t walk up to a busy CMO and ask for $1 million without other leaders supporting you.

So, before investing time in research or proposal writing, casually discuss your idea with your manager.

As Bump shared, “Your manager is human and has also requested, secured, and faced rejections of budgets before. Plus, your manager is likely the most KPI-obsessed person on your team to guide you in the right direction.

So they’ll know more about how to think and talk to the executives above them.

They’ll also know what motivates those executives and the biggest KPIs they desperately want to drive.”

With this early support and guidance, you set your proposal up for success or refine the idea if needed. This saves time on budget revisions or unnecessary proof-of-concept tests.

Here are some messages that Bump shared with me to start conversations with managers.

Example 1:

Hi [Manager],

I [noticed/read/observed] that [evidence] leads to [KPI], and I’d like to pitch an idea/project to test that I think could help us explore/scale this further.

I would love to get your thoughts and see if there’s any budget available for a test like this before I start writing a deeper proposal for you in our next one-on-one.

Example 2:

Hi [Manager],

I would love to pitch a [lean budget or project] to test how [tactic] leads to social media reach. However, I know reach doesn’t directly tie to the KPIs our department ladders up to.

I’d love to get your guidance on how we could connect these KPIs or how we’ve tied reach to revenue in the past before pitching potential tactics around it.

Be Prepared for Pushback and Be Open to Compromise

“It’s important to have concrete arguments about why something is necessary when stakeholders push back,” Brdnik says. Your executives may not have the details you do, so be ready to provide additional information and data to address their objections.

Remember, marketing is just one department, and there are others competing for a share of the company’s fixed budget. So, be open to compromise wherever it is possible.

“If stakeholders think $50K of the budget is excessive for influencer marketing, propose a pilot program for 50% of it and test (and measure) its effectiveness,” Brdnik advises.

The point is to put yourself in the shoes of your higher-ups. Think like a business owner aiming to generate significant returns from marketing spend. This will allow you to be more rigorous in your analysis.

Continue to Earn Trust

If you lock down the budget, spend it responsibly and report on the results, as Bump suggests.

This keeps you accountable for spending your budget based on impact. It’ll also earn you the trust and support of executives who can decrease or increase the budget in future quarters.

Brdnik regularly updates stakeholders, mostly via monthly email reports. Her team also creates quarterly reports that show all relevant KPIs (lead generation, conversion rates, etc.) to illustrate marketing's contribution to overall revenue.

Getting Your Budget Proposal Greenlit

Marketing budgets are among the first to be scrutinized in many companies. I’ve seen several marketers vent about this on LinkedIn, especially when they experience budget cuts.

Sometimes, this scrutiny arises when executives view marketing as less essential than other departments. However, it’s also prevalent because leadership wants efficiency, cost-effectiveness, and solid ROI.

And that’s okay! After all, it’s their job to get value for every dollar spent.

Understanding this lets you embrace the challenge. Lean into it. Anticipate objections from leadership and become more strategic.

Plan thoroughly and prioritize the most impactful initiatives. These ultimately make you more effective in driving results and securing future investments.

Bump, for example, started with $0 per year but now manages an increasing budget, a team of four direct reports, and a part-time contractor.

By applying the tips in this post, you’ll not only secure the funding you need but also strengthen your ability to drive impactful marketing initiatives.

The Beginner’s Guide to the Competitive Matrix [+ Templates]

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I remember first starting my business. At that time, I knew the basics of marketing and a little about sales.

Download Now: 10 Competitive Analysis Templates [Free Templates]

What I didn’t know was the depth of my competitive business landscape. The outcome of this knowledge gap wasn’t pretty, as many competitors quickly surpassed me.

Turns out I am not alone — because if you’re reading this post, you want to beat your competition. One tactical way to do this is by creating a competitive matrix.

How?

You run a competitive analysis and document your findings using a competitive analysis template.

A competitive matrix helps to identify competitors and lay out their products, sales, and marketing strategies in a visual format. When I did this, I learned about my market position, how to differentiate myself, and how to improve my processes so they outshined competitors.

Below, I’ll walk you through what a competitive matrix is and then review some templates and examples.

In this article:

Competitor Matrix Types

Before I dive into the world of competitive matrices, it's important to understand that there are different types you can use.

  • Competitive Advantage Matrix. Helps you understand the differentiation and profit potential of your business.
  • SWOT Analysis. Assesses the strengths, weaknesses, opportunities, and threats of your business.
  • Competitive Profile Matrix. Compares your business against competitors based on key success factors and overall performance.
  • Sales Matrix. Gauges the potential of sales opportunities.
  • Product Feature and Benefit Matrix. Evaluates how your offer matches customer needs.
  • Price Matrix. Helps you determine the pricing for your product strategically.

Competitive Advantage Matrix

competitive matrix template]

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The competitive advantage matrix is over a decade old, but it’s still relevant today. With this matrix, I can analyze my company’s competitive advantage by assessing based on volume production and differentiation.

This matrix has two axes — vertical and horizontal. The vertical axis evaluates the number of opportunities available for achieving a competitive advantage, while the horizontal axis measures the potential size of the competitive advantage.

Using this information, the competitive advantage matrix is segmented into four quadrants:

  • Stalemate industries. Few opportunities to differentiate and the impact on revenue is small. The odd of profiting in these industries is low.
  • Volume industries. Few opportunities to differentiate, but the impact on revenue is high. The odds of profiting in these industries is high.
  • Fragmented industries. Many opportunities to differentiate, but limited impact. Here, businesses can have a substantial profit potential if they offer differentiated and value-added products and services.
  • Specialized industries. Many opportunities to differentiate with great profit potential, especially if the business can learn the ropes of its specialized offering and have the resources to scale.

Testing Out the Competitive Advantage Matrix

Below is how different businesses you know might fit into the four quadrants of the competitive advantage matrix.

competitive advantage matrix filled out

Stalemate (Few advantages with small potential)

  • Example: Generic local store retailer

A small and local retail store that sell everyday products like groceries might be in this category.

Since this store operates in a highly competitive market and sells similar products to others, there is little differentiation and that reduces the competitive advantage.

Growth potential is also limited because of the low profit margin of the business.

Volume (Few advantages with great potential)

  • Example: Walmart

Walmart economies of scale and vast distribution network are competitive advantages with huge profit potential. The ability to offer low prices also attracts a high volume of customers.

Fragmented (Many advantages with small potential)

  • Example: Etsy

Etsy is a niched online marketplace for handmade, vintage, and unique goods.

Its diverse product range, large number of independent sellers, and thriving community of users give it a competitive edge.

However, this advantage has limited potential since products appeal to specific and smaller customer segments rather than a mass market.

Specialized (Many advantages with great potential)

  • Example: Apple

Apple’s innovative products, user experience, strong brand loyalty, and ecosystem of superior devices and services give it enormous competitive advantages.

These advantages have significant potential, allowing Apple to command premium prices and maintain a strong market share across multiple product categories, from smartphones to laptops and wearables.

See that?

With the competitive advantage matrix, I can quickly determine if I am operating in a saturated market and assess my profit potential.

SWOT Analysis

competitive analysis graph, swot analysis example

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A SWOT analysis is one of my go-to techniques for assessing how my business compares to competitors. The acronym stands for strengths, weaknesses, opportunities, and threats. I like the SWOT framework because it is simple but incredibly powerful when you dig into it.

SWOT lets me evaluate the internal and external factors that can affect the current and future potential of my business. By identifying these elements, I create a space to capitalize on my strengths, improve my weaknesses, take advantage of opportunities, and eliminate threats.

For example, if my company has an excellent profit record, this is a strength. If my company offers a small variety of products to its customers, this could be a weakness.

But how do I determine what information goes into my SWOT analysis?

Below are some questions I consider.

Strength Questions

The following questions help me discover where my company excels. This information will help me attract and draw in new customers as well as maintain existing ones.

  • What are my assets?
  • What resources do I have?
  • What makes me better than my competitors?
  • What do my customers like about my product/services?

Weakness Questions

It’s difficult for my business or any organization to improve if there’s no system to determine its weaknesses. To remain competitive, I must discover the cracks in my business and find a way around them.

  • What do my customers dislike about my products/services?
  • What areas do my competitors have an advantage in?
  • Do I or my employees lack knowledge or skill?
  • What resources do I lack?

Opportunity Questions

Monitoring my competition is necessary; however, watching for opportunities will give my business a competitive advantage. These opportunities can come from both monitoring my competitors and industry trends.

  • What are the current trends?
  • What is my market missing?
  • Is there available talent that I could hire?
  • Are my competitors failing to satisfy their customers?
  • Is my target market changing in a way that could help me?

Threat Questions

Threats can come up within a business at any time. These can be internal or external factors that might harm my company and its operations. Identifying these threats will help my business run efficiently.

  • Who are my competitors?
  • Has there been an increase in competition?
  • What are the obstacles I am currently facing?
  • Are my employees satisfied with their pay and benefits?
  • Are government regulations going to affect me?
  • Is there a product on the market that will make mine outdated?

As shown by these questions, a SWOT analysis matrix can help your company identify elements that are often overlooked.

Competitive Profile Matrix

Competitive profile matrix

A competitive profile matrix is a tool that any company can use to compare its strengths and weaknesses to industry competitors. To use this matrix, I’ll need four elements: critical success factor, weight, rating, and score.

Critical success factors are areas that will determine my success. Examples are brand reputation, range of products, and customer retention.

After selecting these factors, I will assign a weight to each one. The weight measures the importance of each factor, ranging from 0.0 (low importance) to 1.0 (high importance). I recommend that you avoid assigning a weight of 0.3 or more, as most industries thrive based on many factors.

This high value can decrease the number of factors you’re able to list in your matrix. When assigning weight, I need to ensure the sum of all weights equals 1.0.

The third step is to rate my company and its competitors from 1 to 4 in each critical success factor where:

  • 1 = Major weakness
  • 2 = Minor weakness
  • 3 = Minor strength
  • 4 = Major strength

The last step is to calculate the score.

First, I’ll multiply the weight of each critical success factor by the rating. After this step, I’ll add each company’s score to get the total score.

This, when compared to my competitors, will show if I’m behind the curve, ahead of the curve, or on par with competitors in my industry.

Testing Out the Competitive Profile Matrix

Competitive profile matrix example

Sales Matrix

A sales matrix is a tool for gauging the urgency and viability of sales opportunities. It evaluates potential customers’ interest in my business against their fit for my services.

sales matrix example

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For instance, when I send out cold emails to potential customers, I am not 100% concerned about the open rate. What I am concerned with is the reply rate. Of course, if anyone on my list doesn’t respond, I follow up.

After getting a response, I want my prospect to fall into any of these categories within the sales matrix.

Sales matrix example

With this simple matrix, I get enormous benefits, such as:

  • Insights into what I should do and when.
  • Not getting stuck by sending content and promotions to bad-fit prospects.
  • Not wasting valuable time that could be redirected elsewhere.

The best part? I can now use my energy and resources to pursue prospects who are a good fit and interested, making selling easier.

Product Feature and Benefit Matrix

The product feature and benefits matrix evaluates how my offer matches customer needs. It’s weighted by its importance versus its perceived distinction or advantage. When using this matrix, features will fall into the following categories:

  • Irrelevant. Low importance and low distinction.
  • Overinvested. Low importance and high distinction.
  • Key liabilities. Low importance and high distinction.
  • Key differentiators. High importance and high distinction.

Pricing Strategy Matrix

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If I am building a product, this information tells me what features to keep, what features to get rid of, and where I might save money.

Consider an iPad. Say Apple spends much of the manufacturing budget to produce a high-quality camera, only to find out that most users don’t even use it.

The camera has a high perceived distinction, yet it’s of low importance to iPad users. This information would tell Apple that they overinvested in this feature and could potentially reduce it to save costs in the future.

The price matrix is useful for deciding any business' pricing strategy. Often, this is based on its product innovativeness and the availability of competitors.

This matrix is like the competitive advantage matrix because companies can only price their product based on the edge they have.

In the price matrix, there are four quadrants:

Skimming. Skimming is best for new and innovative products with little to no competition, where customers will pay a premium. Apple uses this strategy when it launches new products like the iPhone at a high price point.

When Apple makes a more recent product, it lowers the price of the previous product to create a demand for its new product.

I found that HubSpot once used this strategy when it had far less competition in the CRM space. However, HubSpot has now slightly shifted to include the Economy model.

Premium. This works for luxury products where unique benefits or exclusivity appealing to customers. An excellent example is Rolex.

Economy. Ideal for price-sensitive customers. This also works for markets with low production costs and little differentiation. Think Walmart.

Penetration. Used to enter a competitive market with the aim of gaining market share quickly. This is popular in the software industry where I operate.

Now, when creating a pricing matrix, I’d recommend you go from:

  • Penetration to economy
  • Skimming to economy
  • Premium only (requires marketing budget to raise awareness)

To improve on it further, check what your competitors did and see if you can do the same or better.

Note: Unlike the other matrices on this list, a price matrix is a customer-facing competitive matrix type. You are creating it for your potential customer. So after deciding on your pricing strategy, go further with pricing tiers.

example of hubspot pricing tiers on marketing hub product

It’s common to have two or three levels. Once you’ve named them, create a short description. Depending on the industry, you might find it easier to include a few features associated with the category.

Once you do, list the prices. If not, create a call-to-action (CTA) for your potential customer to contact you for a quote.

Remember, as you build your tiers, the price will increase with each one. To stay on par with the perceived value, offer additional features or benefits to justify the cost.

The Benefits of Competitive Matrices

Competitive matrices are great because I can use them to compare any characteristics of my company with those of a competitor.

Sometimes these matrices will be more visual (like a competitive analysis graph), and sometimes it's just an Excel document with the information listed in columns.

The goal of the competitive matrix is to see at a glance the competitive landscape and my position in the marketplace. This will help me see gaps and hone in on my unique value proposition.

A competitive matrix can also be a great way to brainstorm new service ideas or, if you sell a product, get new ideas for tools or features you hadn't considered before.

You might even come out of it with ideas for improving your content marketing strategy. You can use a competitive matrix for a lot of reasons.

Then, after figuring out what to do with the information, document your ideas, develop KPIs, and regularly conduct this analysis to stay current with your strategy.

How to Find Competitor Data

The internet has democratized access to information. As such, you can easily find information about your competitors if you look at the right places online.

Here are some places I check when researching my competitors:

  • Google
  • Competitor’s website
  • Sitemap
  • Social media accounts

The process will be different for every business. But generally, I find these online and physical outlets will be helpful for gleaning information about your competitors:

  • Google
  • Competitor website
  • Website sitemap
  • Social media accounts
  • Yahoo Finance
  • Crunchbase
  • SimilarWeb
  • Angellist
  • SEC Filings
  • YouTube
  • Brochures
  • Trade shows
  • Newsletters

How to Present Competitive Analysis Data

During my time at a B2B content marketing agency, we always presented data to clients. It was always “here is what your competitors are doing” and “here is what we recommend.”

To do this, we always included set elements to present our data so it told a story that stuck:

  • Know the audience you’re presenting to. It’s okay to have different presentations for different audiences. For instance, while we created detailed documents of a client’s competitive position, we shared a quick summary with founders. However, the detailed slides go to C-level executives in the marketing or SEO department.
  • Use quality graphics. Whether it’s a matrix template, a screenshot, or an image, ensure it has high resolution.
  • Use competitor logos. Visual impact is key. Use logos to help your audience know the brand you’re referring to.
  • Show the product. Include your audience's asset, which helps them connect the data you’re sharing to the outcome they can expect.
  • Maintain consistency. Don’t present A about Competitor 1 and then jump to B about Competitor 2. Discuss one thing about all competitors before discussing the next.
  • Be factual. Present where your client’s competitor is thriving and where they are falling short. This gives the client an obvious opportunity for what they can swoop in on immediately.

Now that you know what a competitive matrix is and how to use one, let's review some templates you can use for your own strategy.

Competitive Matrix Templates

Ultimately, a competitive matrix is an industry-analysis tool with many benefits. To make the process even easier, use the following competitive matrix templates.

1. Two-Feature Competitive Landscape Chart

One type of competitive matrix you can do is a simple comparison of features. You can use this information to plot where your company is compared to competitors.

The features could be something like price or customization potential. Then, you'd place the logos of each company (including yours) on the competitive analysis graph, depending on how well a company executes a certain feature.

The point of this matrix is to visualize who does what better, so you can see what you have to work on and how to differentiate yourself against the competition.

Two-Feature Competitive Landscape Chart

Download this Template

2. Content Marketing Analysis Template

As a content marketer, this is my favorite template. With this, I can compare social media followers, blog strategy, email strategy, SEO, etc.

This will help me decide where I need to focus my content strategy. If you download this template, it also includes a graph and more strategies to analyze.

content marketing competitive analysis template

Download this Template

3. SWOT Analysis Template

A basic competitive matrix is the SWOT analysis. Conducting a SWOT analysis will help you identify areas where you could improve.

You should conduct a SWOT analysis for yourself and your competition. Knowing your competition's weaknesses will help your sales reps and help you improve in those areas.

SWOT analysis template

Download this Template

4. Review Tracker

A review tracker matrix will help you see at a glance the reviews you get versus your competitors. It's important not to forget about reviews because they can have a significant impact on a business.

With this template, you can also use a scoring system to normalize the averages.

Competitive matrix review tracker template

Download this Template

After reviewing those templates, it's time to see what a competitive matrix looks like in action. Here are some examples below.

Competitive Matrix Examples

1. HubSpot

This is a public HubSpot competitive matrix comparing the overall pricing of our CRM versus Salesforce. It’s a standard matrix meant to help people see the difference between the CRMs at a glance.

hubspot competitive matrix example

2. SugarSync

This is a great example of what a feature matrix might look like. SugarSync compares its feature offerings against the competition in an easy-to-understand visualization.

sugarsync competitive matrix example

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3. 360iResearch

In this example, 360iResearch reports on survey management software. This is a competitor grid showing which companies have the best product satisfaction and business strategy.

hubsp360i research  competitive matrix example

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No Competition, No Progress

Innately, competition feels unpleasant; however, that’s not all it has to be. It can lead to growth, make us look deeper into our business, and improve.

Competitive matrices are great tools to help you uncover how you’re different from your competitors. Three that I really like are the competitive advantage matrix, SWOT (for its simplicity), and the sales matrix.

These — and the other matrices — show areas of improvement and where we can excel. If you’re having trouble evaluating your company’s position in your industry, use this article and the above tools to help.

Editor's note: This post was originally published in January 2021 and has been updated for comprehensiveness.

7 Ways to Use AI for A/B Testing: An In-Depth Guide [+ Expert Tips]

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Experimentation is central to making evidence-based decisions, and this is where A/B testing has always shined.

Free Download: A/B Testing Guide and Kit

But with the advent of AI, we now have tools for AI A/B testing, making experimentation smarter, faster, and infinitely more manageable.

AI A/B testing gets you real-time reports and lets you test multiple hypotheses in a few clicks. To explore the magic that AI brings to A/B testing, I spoke with CRO experts who shared their unique insights.

On top of that, I’ll also take you through the benefits, limitations, and best practices for integrating AI into your A/B testing process.

In this article:

headshots of CRO experts who are featured in this post

Why use AI for A/B testing?

A/B testing is a research method used to analyze landing pages, user interfaces, or other marketing prototypes to determine the best version before full rollout.

You split your audience into two groups or more. One sees the control (A; original version), while the other interacts with the variant (B; modified version). Tracking interactions, analyzing results, and refining content follows.

With AI, you automate much of this heavy lifting. You get clear, actionable insights without the usual headaches because AI takes the guesswork out of the following:

  • Testing idea development. AI systems, particularly those using machine learning like ChatGPT, can sift through massive datasets. They can help generate fresh test ideas and refine suggestions as you amass more data. Need inspiration? I like this Advertising A/B Testing ChatGPT prompts created by advertising agency Anything is Possible Media Ltd.

Advertising AB testing tool

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  • Data modeling and analysis. Quality data is the foundation for solid and reliable A/B tests. AI helps by cleaning data, i.e., removing errors, duplicates, and inconsistencies that could skew test results.
  • Test customization. Say you have a mix of local and foreign visitors on your site. A 50/50 split may only attract local traffic since perks requiring in-store visits won’t appeal to international shoppers. AI ensures this testing only reaches locals.
  • Testing process. AI systems like VWO set up experiments, track user interactions in real-time, analyze performance metrics, and offer suggestions for improvement. This automation reduces manual effort and speeds up testing cycles.
  • Variant generation. Instead of manually creating each test version, AI generates new variants based on your criteria. It tests multiple ideas at once and prioritizes the most promising ones.

Artificial intelligence can help you sidestep the usual pitfalls of human-led A/B testing. Here’s how AI and traditional methods stack up against each other.

chart that compares traditional and AI-led a/b testing

With AI handling everything from setup to analysis, you can ditch the old-school grind for clearer, faster insights. Let’s explore how these efficiencies benefit your A/B testing strategy and set you up for success.

Benefits of AI in A/B Testing

AI streamlines your workflow and generates more accurate insights faster. Here are the top benefits that make AI indispensable for A/B testing.

Faster, Broader Data Reach

Humans take days or even weeks to gather and analyze data. Meanwhile, AI processes heaps of variables — think hundreds of web pages or app feature versions — at lightning speed.

Jon MacDonald, CEO of The Good, has reaped the benefits of this well-oiled efficiency:

“Since we build rapid prototypes quite often, using AI has helped us code A/B tests faster and without bugs. We’re able to produce rapid prototypes quickly, increasing our testing volume and rapidly validating hypotheses.”

AI distinguishes subtle correlations within large datasets, helping you prioritize and evaluate the right variants. Thus, you get results faster and make smarter decisions without getting bogged down by lengthy analysis.

Improved Accuracy

Manual error and cognitive biases can skew the results and interpretation of A/B tests. This study on advertising A/B testing demonstrates how AI improves accuracy in these four dimensions:

1. Targeting. Machine learning lets you create detailed audience segments. Some AI tools even allow for real-time, targeted adjustments based on live data.

2. Personalization. Using Recommendation System and Virtual Assistant technology, AI tailors content to individual preferences. Each A/B test variation only shows up for users with similar interests.

3. Content creation. Generative AI and Natural Language Processing (NLP) enhance ad content quality and diversity. You can leverage it to generate consistent, high-quality ad variations.

4. Ad optimization. Deep Learning and Reinforcement Learning adjust advertising strategies dynamically. It optimizes factors like ad placement, timing, and frequency based on live performance data.

AI improves accuracy at every stage of A/B testing. It fine-tunes your test parameters, ensures optimal testing for all variants, and provides deeper insights into user interactions.

Predictive Capabilities

AI doesn’t stop at analyzing past data. It also predicts future trends to forecast how users respond to changes and make proactive adjustments.

Advanced tools such as Kameleoon use historical data and predictive analytics to anticipate visitor behavior. Kameleoon achieves this with its Kameleoon Conversion Score (KCS™).

If KCS™ predicts visitors browsing high-end products are more likely to convert with Layout A, it ensures they see this layout. Those who are more interested in budget-friendly options may often encounter Layout B.

Your A/B tests aren’t static with AI. You’re not waiting to tweak your tests for next time. Instead, you’re optimizing and delivering the best possible experience instantaneously.

Personalization

Intelligent systems track each visitor’s browsing patterns, purchase history, and preferences. AI leverages this data to tailor variations specifically for different user segments, making A/B tests more relevant and accurate.

Ashley Furniture achieved these outcomes with AB Tasty’s AI-powered platform. According to Matt Sparks, the eCommerce Optimization Manager, their UX teams used it to better understand customer experiences, solve problems, and design new functionalities.

AB Tasty helped cut out Ashley Furniture’s redundant checkout procedures. They tested a variation, prompting shoppers to enter their delivery information right after logging in. This tweak increased conversion rates by 15% and cut bounce rates by 4%.

AI-optimized test results drive tangible benefits — no doubt — but they’re not a cure-all. There are inherent limitations to consider, and we’ll go over them in the next section.

Limitations of AI in A/B Testing

AI can’t solve every problem or guarantee 100% perfect results. Recognizing the human-focused aspects it doesn’t cover allows you to be more prudent in your testing and avoid over-reliance.

Complexity

AI setup involves using advanced algorithms, specialized software, and a skilled technical team. This complexity is challenging for smaller organizations or those without a dedicated data science team.

Start with no-code platforms like Userpilot and VWO if coding isn’t your strong suit. Or, opt for out-of-the-box solutions with multi-channel support like ​​HubSpot if you test across various platforms.

Managing and optimizing A/B tests is much easier with the right tool. So, take the time to assess your needs and select a solution that aligns with your goals.

Privacy and Safety

A 2024 report by Deep Instinct shows that 97% of organizations worry they’ll suffer from AI-generated zero-day attacks.

A zero-day attack exploits a software or hardware vulnerability developers don’t yet know about, leaving no immediate fix.

If such attacks compromise your testing tools, hackers may gain unauthorized access to sensitive data. They may manipulate test results to mislead your strategy or, worse, steal users’ personal information.

Set up real-time monitoring to catch suspicious activities and implement a data breach response plan. Don’t forget to train your team on data security best practices to keep everyone vigilant.

Misinformation and Ethical Concerns

AI has no empathy and intuitive understanding. It can tell you what’s happening, but it can’t always explain why.

Tracy Laranjo, a CRO Strategist quoted in this Convert piece on AI, mentioned that AI doesn't comprehend emotions and context as humans do. She advised:

“The key is to use AI responsibly; I use it to process data more efficiently, automate repetitive tasks, and be a more concise communicator. I embrace it for the doing aspects of my job but never for the thinking aspects.”

Pro tip: Combine A/B testing with other data analysis methods or run multiple tests to gather more insights if need be. However, continue applying sound judgment when interpreting results and making decisions.

How to Use AI for A/B Testing

Below are seven ways AI can transform your A/B testing efforts.

1. Real-Time Data Analysis to Enhance Decision-Making

AI-powered A/B testing platforms can process extensive real-time data insights. They identify complex trends, patterns, and other variables, facilitating more precise tests.

One test design that exemplifies AI real-time analysis is Multi-Armed Bandit (MAB) algorithms. It allocates traffic to better-performing variations up-to-the-minute—think ad placement optimization and content recommendation.

MAB allocates ad impressions in real-time, prioritizing ads that show better performance as user data accumulates. It can also adjust content recommendations based on recent viewer interactions.

Amma, a pregnancy tracker app, used nGrow’s MAB algorithm to reduce user turnover. MAB automated and optimized push notifications in real-time, increasing retention by 12% across iOS and Android users.

The team also gained a better understanding of their user base. They can now better plan for new regions and optimize user engagement.

2. Predictive Analytics to Boost Accuracy

AI predictions prevent you from having misguided hypotheses and testing ineffective variants.

Alun Lucas, Zuko’s analytics managing director, told me how he does it. He used AI tools like ChatGPT to analyze Zuko’s form analytics data and identify the answers to the following questions:

  • What are my most problematic form fields?
  • How has the data changed since the last period?
  • What ideas could we explore to improve the user experience and reduce abandonment in the identified problem fields?

Predictive analytics identify issues in your data forms or user flows before they become major headaches.

3. Personalized Testing to Create Tailored Experiences

AI lets you break down your audience into different segments based on behavior, demographics, and preferences.

For instance, if you plan to recommend fashion products, you can tailor your A/B tests to different customer segments. Think the patrons, bargain hunters, and eco-conscious shoppers.

Ellie Hughes, consulting head at Eclipse Group, found this approach to be valuable for validating prototypes before implementing them on a larger scale.

She tested different algorithms like personalized search ranking and photo-based recommendations. The outcome? It enhanced her clients’ experience and made it a compelling case for further AI investment.

As Hughes notes, “The value wasn’t in the production of an algorithm as an output. It was about the clever framing of an experiment to prove the monetary value of using AI within experiments.”

4. Multivariate Testing to Reveal Useful Insights

A/B testing can scale from only A and B to a full A-Z spectrum of possibilities. In her talk, Ellie Hughes debunked the myth that A/B testing is limited to comparing two versions, saying:

“A/B testing can involve multiple variants and more complex experimental designs, such as multivariate testing [...] to optimize various elements simultaneously.”

Here are some real-world instances where you can implement multivariate testing.

  • Ecommerce website. Test different combinations of headlines, images, and buttons on product pages to increase conversions.
  • Email marketing campaign. Experiment with subject lines, images, and call-to-action buttons to boost open and click-through rates.
  • Subscription service. Try different pricing plans, promotional offers, and trial lengths to attract new customers.

Simultaneous evaluation of multiple variables offers a more nuanced approach to experimentation. It provides richer insights and better overall results than basic A/B testing.

5. Anomaly Detection to Maintain Integrity

Ever had A/B test results that seemed too good (or bad) to be true?

That happens.

Good thing is, AI tools can monitor test data 24/7 and flag any unexpected deviations from the norm. Whether it is a system glitch or a shift in user behavior, AI tools can help you diagnose these issues.

Valentin Radu, Omniconvert CEO, explained how his team used AI to understand what frustrated his clients’ customers.

They monitored NPS survey responses pre- and post-delivery. The analysis allowed his team to run more effective tests and make targeted improvements.

Radu said, “You can’t come up with strong hypotheses for your A/B tests without blending qualitative data in your insights. So, we are already using NLP to crunch the data and identify the main issues by analyzing customer feedback or survey responses.”

To formulate stronger hypotheses, cross-check quantitative data with qualitative insights. It’ll help ensure the observed anomalies aren’t due to data errors or temporary glitches.

6. Improve Search Engine Results Ranking

AI A/B testing allows for precise measurement of how different factors (e.g., algorithm changes, user interface elements, or content) impact search engine results.

Ronny Kohavi, a world-leading AI A/B testing expert, has extensively mastered online controlled experiments. His work shows how AI and machine learning have been employed for years to fine-tune search results rankings.

These rankings span major websites like Airbnb, Amazon, Facebook, and Netflix.

He informed me that Airbnb’s relevance team delivered over 6% improvements in booking conversions. That’s after 20 successful product changes out of over 250 A/B test ideas.

Kahavi says that “it's important to notice not only the positive increase to conversion or revenue but also the fact that 230 out of 250 ideas — that is, 92% — failed to deliver on ideas we thought would be useful and implemented them.”

7. Continuous Optimization to Refine A/B Tests

You tested a bold red “Buy Now” button and saw a high conversion rate last year.

Now, you notice its performance slipping. Without continuous optimization, you might not discover that users now respond better to interactive elements like hover effects or animated buttons.

Of course, these are all hypothetical scenarios, but the bottom line is clear: Continuous AI monitoring can keep your A/B tests relevant and effective.

As described in this case study, [24]7.ai continuously refined its customer service strategies through A/B testing. They tested AI-driven chat solution versions to see which improved customer interactions and resolved inquiries better.

The results? A 35% containment rate, an 8.9% bot conversion rate, and over $1.3 million saved from enhanced efficiency.

A/B test results plateau or even decline as user preferences evolve. Adjust your test parameters to keep up with changing trends and drive ongoing improvements.

Make your A/B testing smarter with AI.

AI is here. Companies and industry experts who’ve embraced AI-driven A/B testing have found it nothing short of transformative.

To get started with AI-focused A/B testing, I highly recommend checking out HubSpot’s complete A/B testing kit. It offers a comprehensive checklist to help you run the perfect split test, from initial planning to final analysis.

Now, experience the future of testing.