Embedded Analytics GTM

Embedded analytics is sold mostly to product and engineering leaders, and it's bought, or abandoned, based on one question: how hard will this be to embed?

Rather than redesign a page, I treated the whole GTM as a single experience: one narrative carried across the ad, the landing page, the email, and the activation asset, so the prospect never lost the thread.

Embedded analytics has a specific buying friction: prospects can't tell how hard it'll be to embed into their own product. They read, hesitate, and leave before requesting a demo or trial.

A landing page alone doesn't fix it. When the ad, page, email, and tour each tell a slightly different story, the funnel leaks between touchpoints and the prospect loses the thread.

I owned the funnel and flow, the research, the experimentation, and the conversion and performance work, aligned with acquisition.

The ad, landing page, email, and tour were owned and built as separate things, so they risked telling different stories, and prospects dropped in the gaps between them.

I treated the GTM as a single experience orchestrated around one narrative, and designed the connective tissue, message, visual story, and CTA, to carry across every surface. A funnel only converts when the story holds from first touch to activation.

"Increase requests" is a goal, not a diagnosis. We didn't know where intent was being lost, so I ran quantitative funnel-cohort analysis to see where each cohort dropped, paired with interviews to understand why.

Then I prioritized fixes against the real drop-off points the data surfaced, not assumed ones, so the later bets actually paid off.

The real blocker needed a consistent answer, not one buried on a single page. So the "low-effort embedding" message ran across ad copy, the landing page, the email, and the activation asset, each surface reinforcing the same reassurance.

On the product side, the embed experience itself does the convincing: a few lines of code, with React, Web Components, and iFrame options for however the prospect builds.

My hypothesis was that an interactive tour would win, show-by-doing usually lowers perceived effort better than a passive video. We A/B tested both. The video won.

It won because the tour included content outside embedded analytics, which made it longer and added irrelevant friction. The video stayed tightly scoped to "how to embed," and the focused asset converted better.

The hero animation was degrading load on the single most important conversion surface, so I replaced it with a static image. Page speed is a conversion lever, not just polish.

Upstream, I realigned keywords to both traditional search and AEO intent, so the right, higher-intent prospects enter the funnel before any on-page work has to compensate.

Not every prospect converts on the first visit. A nurture sequence re-surfaced the embedding story and routed back to the demo or trial request, keeping people inside the same narrative.

Lower- and top-of-funnel assets, fact sheets, platform overviews, pricing, gave returning evaluators a reason to come back and convert.