![[Visual] Stock behavioral targeting](http://images.ctfassets.net/gwbpo1m641r7/2M3546AIPufdkh1GubCWEx/fad2c28b3461b586842dee5322002a92/BLOG-ux-analytics-tools-3182742.jpeg?w=1920&q=100&fit=fill&fm=avif)
A/B testing is a powerful way to discover how to improve your site or product. But setting up, monitoring, and analyzing A/B tests is time-consuming, especially if you’re not sure where (or how) to start.
Supercharge your A/B tests with agent-to-agent testing to speed up experimentation, improve analysis, and empower everyone to run effective, impactful research. Read on to learn how Contentsquare’s AI connects with the other platforms you use every day to unlock faster, more efficient, and scalable A/B tests.
Key insights
Agent-to-agent testing is the process of using AI agents together to launch experiments. Users provide a prompt to an AI agent in one app and let it coordinate with the AI agent in another app to autonomously set up A/B tests based on your requirements.
Agent-to-agent testing improves on user-to-agent testing by enabling teams—like marketing, design, user experience (UX), and product—to work faster and with less manual effort, so you can run more experiments, get more from your customer data, and boost conversion rates.
Contentsquare connects seamlessly with experimentation tools like Kameleoon and Optimizely to streamline testing workflows, letting you create experiments and ready-to-use dashboards in moments.
How to scale experimentation with agent-to-agent testing in Contentsquare
Agent-to-agent testing is a game-changer for time-strapped, data-driven teams. Here are 3 ways it helps:
1. Quickly turn hypotheses into experiments
With agent-to-agent testing in Contentsquare, you can turn hunches into data faster than ever before.
Use Contentsquare to identify problem areas, like
A low-performing conversion funnel
An underperforming zone in a heatmap
Behavioral trends or potential issues in session replays
Rising frustration on certain pages
Looping user journeys or pathways that end in bounces
Then, trigger an experiment instantly with a single prompt using Contentsquare’s AI agent, Sense Analyst. Sense takes your prompt and builds the test in Optimizely or Kameleoon, working with their AI agents for a hands-off experience.
This lets you go from idea to launch in one seamless flow. Quickly take action on customer data right from your experience intelligence platform as you spot insights worth investigating, ensuring you never miss an optimization opportunity.
One of the biggest advantages of using AI is that it helps you uncover insights you wouldn’t have thought to dig into. Before we used Sense, we could only uncover what we thought to look for. Now, AI identifies patterns and anomalies we didn’t even think to investigate.
Analyze funnels in Contentsquare to find experimentation opportunities, then use agent-to-agent testing to create an A/B test in just a few clicks
💡 Pro tip: quickly spot patterns and form hypotheses with Session Replay Summaries. Get AI-powered summaries of one or multiple sessions that distill hours of footage into key insights, potential issues, and behavioral trends. Filter by Frustration Score—Contentsquare’s intelligent scoring system that ranks each page, group of pages, or session based on how frustrating it is for customers—to prioritize the most urgent replays, and jump straight to highlighted moments to see exactly what caused user friction.
![[Visual] Session replays AI summaries](http://images.ctfassets.net/gwbpo1m641r7/513RGRBy7acZFtxrrMg1cE/7f6851e3d8f3c4ca804c3e8cde0f847a/Session_replays_summaries.png?w=3840&q=100&fit=fill&fm=avif)
2. Scale A/B testing to capture more user data
Use agent-to-agent testing to effortlessly run and analyze more A/B tests, giving you a wealth of real-time insights about user behavior and preferences. Leverage test results to improve decision-making and make optimizations based on real-world scenarios, turning your site or product experimentation into a competitive advantage.
To get true value from your experimentation program, you need to scale it. Every test teaches you something new and valuable about your customers, and those learnings build on each other to reveal new insights. As Andrey Prokhorov, Ecommerce Optimization Team Lead at Asics, says:
You start with small individual optimizations, and test them separately so you understand what exactly the impact of those changes is. And after you’ve validated those results with split testing and other methods, you come up with a final, big optimization. That’s when you can see that all those smaller tests, even though they didn’t deliver commercial impact, delivered something else in the long run.
💡 Pro tip: share test results and learnings across your entire organization for greater impact. Use Contentsquare to automatically generate dedicated A/B testing dashboards for your experiment to track the right metrics and provide at-a-glance insights. Jump straight from your dashboard to relevant session replays to contextualize your data and understand the behavior behind the numbers, helping you discover not just what users did but why they did it.
![[Visual] AB-test-dashboard](http://images.ctfassets.net/gwbpo1m641r7/1QbYMKrPwcONHTXhGbGKFY/c2d9fcea5da99ca490c544c2df62646c/AB-test-dashboard.jpg?w=1920&q=100&fit=fill&fm=avif)
Contentsquare instantly generates dashboards for your A/B tests to track and visualize the right metrics
3. Measure and maximize impact
When A/B tests are this easy to set up and get results from, you’ll want to make them a core part of your AI analytics toolkit. Build on your results by continuing to test, iterate, and optimize your site or product, so you deliver ongoing UX improvements for your customers.
Measure the impact of A/B tests with the Impact Quantification tool in Contentsquare, which translates the effects of events and experiences into business results—like improved conversion rates and increased revenue—with just one click.
Drill into specific user segments to get more granular insights about your audience, and compare the impact of your A/B test across browsers and devices to continuously elevate key channels like your landing pages and mobile experiences.
💡 Pro tip: help your team get more from your data—and save even more time—with Sense Analyst. Sense gives everyone their own personal copilot, automating analysis and combining data from multiple Contentsquare capabilities to provide at-a-glance insights.
Chat with Sense to compare and contrast customer behavior and performance over time, identify new opportunities for A/B tests, and get actionable recommendations for next steps based on your experiment results.
We quickly recognized the potential of Sense in enabling team members without analytics expertise to perform behavioural data analysis. Anybody can ask Sense a question, you don’t have to be an expert. And it’s so fast: it gets us the insights we need in seconds. This supports the team when brainstorming, formulating hypotheses to validate with further analysis, and implementing quick wins. It’s a great ally.
Run faster, more efficient A/B tests with Contentsquare
Agent-to-agent testing is just one of the many ways Contentsquare is redefining analytics with AI. Scale your experimentation program with AI-driven A/B tests and start capturing relevant data in minutes, unlocking insights that improve conversion rates, recurring revenue, and engagement for your business.
FAQs about agent-to-agent testing
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