Users were signing up, but not activating the integration that made the product sticky. We audited the analytics, redesigned the integration onboarding path, defined activation milestones, and built the tracking needed to measure the change.
The product depended on integrations. Once a user activated the right integration, the product had a stronger reason to stay in the customer workflow. But too many users were not reaching that moment.
The problem was not simply "low activation." It was more specific: users were not activating the integration that drove retention. The team needed to know where the breakdown happened, which milestone should count as activation, and how to redesign onboarding so the path was easier to complete.
We focused on one critical activation moment first, fixed it deeply, then turned the pattern into a repeatable integration playbook.
The team stopped treating activation as a generic onboarding metric and tied it to the integration behavior that actually drove retention.
The integration path was redesigned around the user’s next required action, instead of relying on users to infer why the integration mattered.
The measurement layer made it possible to see whether users reached the critical milestone and whether the redesigned path was improving the business outcome.
10 years building growth systems for B2B SaaS companies at $1M–$50M ARR. BSc Behavioural Psychology, MSc Data Science. This engagement focused on a narrow activation problem with commercial leverage: find the integration behavior that made retention stronger, fix the path to it, and build the tracking needed to repeat the pattern.
Two weeks to map your activation funnel end-to-end, confirm where it breaks with data, identify your top three fixes ranked by impact, and agree on an activation definition tied to retention.
If your retention depends on a specific integration or workflow milestone, the first job is to make that path measurable. Then make it easier to complete.