AI-Powered CRO Playbook For B2B SaaS

In this playbook, we share various insights for introducing AI CRO into your marketing workflow. The technology makes sense for any business as it expedites the usual marketing routine while providing better results. Not only does artificial intelligence help you stay afloat against competitors, but it also allows you to create a niche for yourself.

Our playbook answers four burning questions that every website owner has asked themselves at one point or another:


AI CRO in Practice

For the most part, the process of optimization consists of three parts:

  • Researching website data
  • Making conclusions
  • Performing A/B testing

Researching Website Data

The first step of conversion rate optimization is assessing site-wide metrics. Business owners should learn more about their traffic, impression, and bounce rate so they can understand how users interact with the site. That way, they can boost inefficient parts of the funnel for better performance. For the process to be effective, you need to introduce proper metrics at specific moments within the funnel. That way, you can rest assured that the movement through the funnel is quantifiable and can provide valuable insights.

Making Conclusions

Although AI allows us to automate the majority of the conversion rate optimization process, there are still some areas we need to handle ourselves. Marketers need to use the data to make their own conclusions and determine why people are dropping off within the funnel. Detecting inefficiencies is half of the battle and a precursor for making improvements.

Performing A/B Testing

Artificial intelligence excels at A/B testing, especially when running ads. Sophisticated tools can compare your copy with similar ads over time to assess how it would perform if you publish it. The AI-driven programs can create a list of suggested tweaks and determine how each alteration would affect the end performance. With the help of AI, you can test dozens of permutations simultaneously. The advanced algorithms can try different combinations of elements to predict ad performance on a specific platform. This would significantly cut down human work, where you would have to create hundreds of ads manually until you determine which one's the best.

After finishing the playbook, you should have a much better understanding of CRO and how AI improves the process. The downloadable content will also explain how conversion optimization works in practice and how marketers commonly perform A/B testing.

AI CRO Testing

To get the most out of conversion rate optimization, you need to go through the following five steps:

A/B Testing

A/B testing is the basis of any CRO process. Basically, with this method, you create two versions of a copy and test their potential performance against each other. Naturally, the use of AI makes this process much easier and allows you to include additional variables in the mix.

Multivariate Testing

The second phase is significantly more complex as it includes several variations of a copy. Unlike traditional A/B testing, multivariate has many more moving parts, allowing you to assess each element of every copy against other versions.

User Session Recording

The big thing about artificial intelligence is that it can track and analyze every session, providing website owners with lots of actionable insights. You can use metrics such as bounce rate and time spent on the page to assess the performance of every article and how it affects your sales.

Customer Surveys

Instead of going through all this data, it's usually much better to gain insights straight from users. You can place surveys on the site in the form of pop-ups, asking visitors all sorts of questions about your platform and business offer. That way, you can gain some valuable information that the usual data can't provide.

Heat Maps

Heat maps are probably the best indicator of how people interact with your site. You can see where users commonly click when they visit a page and how their eyes move around when scanning content. The method is especially valuable for determining which sections of the text don’t resonate with the readers.

The playbook outlines each of these steps so you can have a more granular approach when creating marketing campaigns. Users can tap into complex user data to better understand their movement on the site and where they commonly drop off in a funnel.

Testimonials from clients

After actioning strategies and tactics in the playbook we got a major lift in our MQLs using AI-Powered CRO technology to boost our demand generation program.
Julie Fleming
Julie Fleming
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“The playbook opened our eyes to the power of AI when it comes to our demand generation programs and how easily and quickly you can scale it when you have the right strategies and tactics in place.”
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“ We were surprised to see how multivatiate testing using AI-Powered technology can drastically affect our demand generation metrics in such a short amount of time. ”

About the Author

Sergey Solonenko

Sergey Solonenko is the founder of Algocentric Digital Consultancy, an active digital strategist and a fractional CMO for many B2B SaaS brands embracing digital transformation. At Algocentric Digital Sergey’s focus is on empowering every B2B SaaS brand who is looking to scale their demand generation program. Sergey’s digital marketing experience over the last 10 years has allowed him to become a digital evangelist focused on improving B2B SaaS demand generation programs and consulting on best practices around account based marketing, sales and marketing team alignment, setting up better lead qualification systems and improving user experience through personalization by aligning martech with key marketing KPIs that ladder up to faster MRR for B2B SaaS brands.

AI-Powered Content Marketing Playbook For B2B SaaS

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