And yet, months down the line, the same dashboard tells a flatter story. Traffic holds steady, the conversion rate is exactly where it was in month two, and the digital roadmap that took two workshops to define could now be summed up in one line: publish more content.
This is the post-launch plateau, and it catches many digital leaders who have just delivered a platform, a migration or a major rebuild.
A launch is a sprint with a finish line everyone can see: go-live day. Teams rally around it, budgets are approved for it, and the whole business measures progress against it. Then the finish line passes, and the sprint has no natural sequel.
The platform built for testing, personalisation and continuous improvement is used to publish pages and update copy, nothing more. The team that fought for the roadmap moves on to fight the next fire. The metrics set before launch - page load, uptime, migration success - are hit and forgotten about, while the metrics that matter after - conversion rate, revenue per visitor, experiment velocity - wait for someone to set them.
Modern Digital Experience Platforms (DXPs) like Optimizely and Sitecore are built to run experiments and personalise experiences at scale, but many businesses treat go-live as a destination, rather than as the start of an improvement cycle that makes full use of their DXP's capability.
A stalled platform still costs the same amount to run. The licence fee doesn't change whether the platform runs thirty experiments a month or none, and the business case that won budget for the project assumed ongoing improvement, not a static asset with its settings frozen at launch.
The Board may well ask a fair question: what has this delivered since go-live? A flat conversion rate and an unused experimentation licence make that question hard to answer, despite the migration going ahead without a hitch.
Progress starts by getting a solid understanding of where the platform stands today: what's being tested, what data feeds decisions, and how the team spends its time. That review typically surfaces the same four issues: a strategy that stopped at launch, insight that hasn't yet become habit, an operating model built for delivery rather than ongoing improvement, and a performance engine still waiting to start.
Fixing this means addressing all four together, not one at a time. A KPI framework needs a route to insight, or it generates numbers rather than decisions. Personalisation works best with customer insight behind it, turning generic segments into touchpoints that mean something to the person on the other side. An operating model pairs best with a performance engine, turning clear roles into delivered work.
This is what our Optimise service builds: a set of activities across strategy, data, operating model and performance that run in parallel rather than in sequence. We set a baseline, establish the vision and KPI framework the platform should have had from day one, and get the first experiments live. From there, we run a continuous programme of testing, personalisation, SEO/GEO and content performance work that keeps the platform earning its keep long after go-live day.
JCB partnered with us on a Sitecore to Optimizely migration and saw a 12% uplift in conversion rate once the platform was properly configured and optimised, not just switched on. United Utilities has worked with us for sixteen years, and 70% of the site's traffic now reaches self-serve tools that ease pressure on customer service teams.
Neither outcome came from the migration alone. Both came from what happened after.
Our Digital Optimisation Health Check gives a clear picture of where a platform stands right now, and what the fastest wins look like. If go-live happened six months ago and the dashboard has stopped moving, this is a great starting point to help you understand why.