Apex is a specialist data and AI consultancy spanning marketing measurement, AI search, sentiment and applied AI. We work alongside client teams to translate analysis into measurable gains in revenue and profit.
Marketing mix modelling, incrementality testing and geo-experiments that show what drives sales across online and offline channels, including sales through third-party retailers.
We measure prompt themes, the sources AI systems cite, competitor visibility and the factors behind a recommendation, then implement the technical and content changes that move them.
Customer sentiment, competitor information and market signals from search, social, forums, video, affiliates, retailers and reviews, brought together to sharpen positioning and acquisition.
Data science built for operational use, with the data infrastructure and pipelines to run it at scale, and the change support to make it stick inside the business.
We work with US and European private equity and portfolio management teams across the whole cycle: market understanding and asset sourcing, buy-side and sell-side diligence, value-creation planning and post-deal delivery.
Advanced data collection across search, social, reviews, retailers and company signals to map a market, size demand and surface assets worth a conversation before they come to market.
Customer, market and marketing evidence on a target’s growth, competitive position and proposition, run on our bespoke diligence platform and delivered to a deal timetable.
A prioritised set of growth initiatives, from acquisition efficiency to AI search and customer sentiment, each with the numbers behind it.
We stay to build: measurement programmes, AI and data infrastructure, and the dashboards that keep a single company or a whole portfolio honest.
The same evidence base serves the sourcing screen, the investment case, the 100-day plan and the exit story.
Engagements run as focused projects or ongoing programmes. Data engineering is the foundation; commercial interpretation decides what the evidence means and what to do next.
Agree the business question, who will use the work and the evidence needed to act.
Bring internal data and market signals together, using the methods the question calls for.
Explain the commercial implications and the actions that follow from the analysis.
Help the team put recommendations into practice and revisit performance as it changes.
That mix is what connects technical analysis to the commercial decisions and organisational changes needed to use it.
We combine internal business data with external signals and examine the drivers behind headline numbers.
We use experiments alongside modelling, so recommendations hold up when budgets move.
Strategic planning is backed by practical implementation and plain explanation, with your team.
A first conversation is usually enough to frame the question and the evidence you would need. Based in London, working across the UK and Europe.