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.
Each engagement starts with a business question and ends with recommendations a team can act on, built on frontier data science and AI, and judged on 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.
Typical outputs · contribution analysis, response curves, marginal acquisition cost, test plans, budget recommendations, ongoing measurement dashboards
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.
Typical outputs · AI-search visibility assessment, cited-source analysis, competitor comparison, prioritised actions, impact on traffic, conversion and sales
Customer sentiment, competitor information and market signals from search, social, forums, video, affiliates, retailers and reviews, brought together to sharpen positioning and acquisition.
Typical outputs · theme and driver analysis, competitor and geographic comparisons, live dashboards, positioning and growth recommendations
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.
Typical outputs · forecasting and planning models, decision-support tools, automated data pipelines, implementation and training
We work with 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.