Educational Series

Buying the Wrong A/B Testing Tool Is Very Expensive.

CRO tech churn is ridiculously high. 74% of this churn is voluntary. Optimizers choose to leave. Avoid becoming a part of the stat. Take buying slow.

Ruben de Boer presenting in front of a whiteboard

The 6 Mistakes

6 Insidious Buying Mistakes Tripping Up Optimizers!

Building a Final A/B Testing Tool Shortlist Based Only on LLM Recommendations

It’s roulette rigged by the marketing budgets of big brands.

Choosing a Tool without First Mapping your Real Needs

What you think you need is often dictated by the narrative in your echochamber. Move beyond it!

Doing the Selection Alone!

Involve stakeholders early… Listen to your dev team. They are your partner.

Buying for Today and Ignoring Switching Costs Later

Perfect match! For today? How about in 2 years? Account for not just where you are, but where you’re headed.

Getting Seduced by Polished Demos and “Hero Features”

Flip the story. Interview your prospective vendor. Ask: “What is your greatest weakness?”

Using the Free Trial Badly

Don’t start one unless stakeholders are ready to engage. Remember, you should explore the tool’s reality, not be lulled by shiny marketing promises.

Ruben de Boer with LinkedIn and Udemy credentials

Your Guide

Ruben de Boer

Ruben has been experimenting for 15 years. He has consulted with 50+ brands and is a best-selling course creator. We built this 3-part video series with Ruben using his decades of discernment to decode why "fast buying" feels easy but causes real harm to optimization programs long term.

  • 15 years experimentation

  • 50+ brands consulted

  • Bestselling course creator

15 Years of Wisdom · 15 Minutes

Pick Well! Watch the 3-Part Series

Three focused videos. No fluff.

Designed to help you buy the right tool — and stop churning.

Video 1

"AI tools can give you different answers within days, depending on model updates, prompts, or training data"

Video 2

"Mature tools are honest about what they don't do well. If everything sounds perfect, it could be a red flag."

Video 3

"Do not start a free trial just because it's available."

Download Captions File

A ZIP archive (~1 MB) containing video captions from each chapter, formatted for use with LLMs.

  • Plain-text .txt files — no executables
  • Paste into ChatGPT, Claude, or any LLM

Next Step

Compare Features. Pause. Think. Research.

Once you’re ready, you can check out our tools comparison widget.

Latest pricing, features, and merger-acquisition flags for Convert Experiences, Optimizely, VWO, Kameleoon, Dynamic Yield, Intelligems, Amplitude and more.

FAQ

Frequently Asked Questions

Who will benefit from this video series?

  1. Companies new to experimentation and looking for an A/B testing tool. Don’t fall for default recommendations that will not meet your needs. 
  2. Weary of price hikes or feature freezes? Want an A/B testing platform that you can grow with? 
  3. Researching the next shiny object in experimentation for the C-suite. 
  4. Your CRO program isn’t performing as expected. The general consensus is that the tool needs to go!

Why is fast buying not an advantage anymore?

Between 2012 to 2016, CRO may have been a lone optimizer’s game. 2025 research by Speero shows that aspiring, progressive, strategic and transformative experimentation programs all have a mix of dedicated in-house experts and agencies. This is why your A/B testing tool of choice must accommodate stakeholder needs. Another factor that makes slow, thoughtful buying the right choice is the emergence of privacy as a critical decision-making factor. A randomly-chosen, cheap tool is not worth the fines you have to pay later. 

Also, pausing to think of how your experimentation program is likely to grow helps identify requirements that support scaling without switching.

How does fast buying break stakeholder trust?

Fast buying and equally swift churns destabilize optimization programs. 

In Ruben’s own words:

Fast buying undermines stakeholder trust because the decision is made without involving the people who will actually use the tool or be affected by it.

When developers, analysts, or product teams are not consulted, they may later discover that the tool does not fit their workflows, technical setup, or reporting needs. This creates friction and resistance because the choice feels imposed rather than shared.

It can also damage long-term confidence in experimentation. If the tool causes technical issues, poor data quality, or requires switching later, stakeholders may question the original decision and become more skeptical about future experimentation initiatives.

In short, rushing the purchase may save time in the moment, but it risks losing the alignment and support that experimentation programs depend on.

Ruben de Boer

Connect with Ruben on LinkedIn: https://www.linkedin.com/in/rgdeboer/

By slow, how slow should we go?

We don’t mean slow for the sake of going slow. Thorough and thoughtful research pre-shortlist is the recommendation. If you need a data-backed framework, borrow from Wynter’s research

  1. Pair AI recommendations with old-fashioned Google searches 
  2. Ask peers who have similar requirements 
  3. Eavesdrop on Reddit threads 
  4. Review G2 Crowd testimonials. Be aware that testimonies may be incentivized. Some are from vendor partners. Look for patterns.

What is Convert?

Why should you trust us? Convert Experiences (also known as Convert.com) has been the preferred A/B testing tool of mid-sized teams, CRO agencies and Ecom stores with more than 15M in annual revenue for almost 16 years now. 

We’ve optimized 40,000+ websites. And run 400,000 tests on our platform. We are ISO 27001 compliant. We are SOC-2 compliant. We are GDPR and CCPA-ready. We allow you to speed up every aspect of your work with careful AI integration through our MCP servers. Without compromising what actually drives testing: statistical rigour and transparency.

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