Real teams, real data, real insights. See how Cornishware and Poker.org each connected GA4 and Search Console and got back one AI Insight that named a leak they could not see, with the math behind every number.
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Each story below is built on an actual Askalytics AI Insight run against the customer's connected GA4 and Search Console data, with their permission. The implementation steps and early outcomes are the teams' own and are still being measured. Each one follows the pattern we see most often: a team running fine, dashboards green, the numbers technically not flagged, and underneath it all a quiet leak nobody can name. One AI Insight pulls the thread, the AI runs the queries against the property's own data so every figure traces to its source, the Confidence Check verifies the claims, and a memo lands with ranked findings and the math behind each.
One AI Insight. Ranked findings. The math behind each.
Cornishware's US shoppers landed and engaged at 87%, the same as UK shoppers, then left without buying: a 1.86% conversion rate against the UK's 3.21%. One AI Insight against 90 days of GA4 and Search Console measured the gap, traced it to the US checkout (shipping and duties shown only at the final payment step), and ranked the fixes. Roughly £17,000 a quarter recoverable, without buying a single extra click.
Read the case study →Poker.org ranked near the top for the biggest terms in poker, but US desktop turned those rankings into clicks at just 0.4%, against mobile's 2%: 3.6M impressions, only 13,550 clicks. One AI Insight against 60 days of GA4 and Search Console (confidence 92, strengthened by a second AI) sized the leak at roughly 58,975 clicks, named the worst-offending pages, and ranked the title rewrites to recover them. No new rankings required.
Read the case study →We're writing up wins from a multi-brand agency, a SaaS lead-gen team, and a heritage retail brand running paid social at scale. If you're an Askalytics customer with a story worth telling, drop us a line. We'd love to feature you.
In progressThe Bloom & Measure demo property is loaded by default on every free trial account.
Every case study follows the same architectural pattern. The product is built around it.
In the Cornishware story, the worry is US traffic, and the insight reframes it as a conversion problem on traffic the brand already had: 1.86% against the UK's 3.21%, with US visitors engaging the whole time. In the Poker.org story, the worry is rankings, and the insight surfaces a desktop click-through leak hiding under page-one positions.
Each insight ships with an evidence pack: every figure traces to the query that computed it, and a Confidence Check audits the narrative before it lands. Poker.org's finding came back "strengthened" by a second AI on a different provider; Cornishware's landed at a confidence score of 88. That's the difference between a tool and an analyst.
Each memo ends with ranked tasks, not "explore these dimensions." Cornishware's number-one task, audit the US checkout, was concrete enough to forward to a developer the same morning. Poker.org's named the exact pages to rewrite and the exact CTR benchmark to beat.
Yes. Each story is built on an actual Askalytics AI Insight run against the customer's connected GA4 and Search Console data, with their permission. The implementation steps and early outcomes are the teams' own and are still being measured. Every figure in the insight traces to the exact query that produced it.
On your own property, every figure traces to the exact query that produced it against your data, and a Confidence Check audits the narrative before it lands. These stories show that structure in action, including where the verifier strengthened a finding. See how that compares to other AI analytics tools.
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