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Evolv AI Case Study

How a Leading Telecom Provider Used Evolv AI to Systematize CRO and
Drive $26M in Revenue Gains

For one of the largest telecom providers in North America, the checkout flow wasn’t just transactional. It was a crucial point in the funnel for driving recurring revenue, particularly through upsells like mobile device protection plans.
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While the baseline performance of the protection plan flow was already strong, the team saw an opportunity to boost attachment rates for new customer sales. At this scale, the challenge wasn’t idea generation; it was knowing which ideas to act on. With multiple inputs and stakeholders, alignment and prioritization often became the bottleneck.

Evolv AI brought structure, speed, and clarity to the process, transforming scattered insights into a single, adaptive roadmap built from real behavioral data, business context, and proven experimentation intelligence.

Lift, Scale, and Reuse

Rather than starting with opinions about what to test, the team used Evolv AI’s Knowledge feature, combining years of internal experimentation intelligence: over 1,200 experiments, 20,000+ ideas, and hundreds of millions of experience combinations.

Distilled dataset:

Evolv AI distilled this vast dataset into:

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200 reusable UX guidelines

for cross-funnel application

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10 prioritized recommendations

ranked by potential business impact

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1 evidence-based roadmap

that self-optimizes as the system learns

Execution:

The prioritized AI-generated ideas were executed in an Evolv AI Continuous Optimization project—delivering fast, measurable business impact:

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22% lift in attachment rates

for new customers

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$14M recommendations

in annualized

“The partnership with Evolv AI has been transformative. The AI-driven optimization not only streamlined our testing process but also delivered quick, tangible results. Seeing an 8.1% lift in conversions and a $5M increase in annual revenue is a testament to the power of their technology.”

– VP, CX Strategy
What’s Next:

Systematized Insight at Scale

With strong initial results, the team integrated the winning variants directly into production code. In parallel, they launched remaining high-impact ideas from the recommendation backlog, resulting in an additional $12M in annualized revenue.

While any testing program can uncover valuable UX improvements, Evolv AI laid the foundation for scalable, repeatable optimization, incorporating insights from every experiment.

Because Evolv AI stores, ranks, and surfaces insights in a structured way, this telecom brand can now spot similar patterns across different journeys and reapply proven strategies without starting from scratch. This systemized approach is already expanding across other domains, helping teams uncover high-impact opportunities faster.

Evolv AI didn’t just provide recommendations, it eliminated months of debate about where to begin. By turning scattered insights into a ranked, data-backed roadmap, Evolv helped this team move with speed and precision, launching optimizations that unlocked $26M in annualized revenue.

That’s over $2 million per month that might have been left on the table had they stayed in decision mode. What began as a single initiative is now a scalable knowledge engine—powering continuous optimization, minimizing delay, and maximizing what matters most: growth.

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