Planning your first project
· 4 min read
How to choose your first customer data project
Choose a recurring business decision, identify its owner and define the evidence that will make a first customer data project worth using.
Blog & guides
From a difficult question to a decision you can explain.
Guides for business sponsors, data owners and the teams using the answer. Start with the buying decision or work through the records behind a specific problem.
Plan and evaluate your project
Choose a first scope, compare your options and prepare the review.
Evaluating your options
· 4 min read
Build, buy or keep your current customer data workflow?
Compare an internal build, a managed implementation and your existing reports against the same business decision, ownership and evidence requirements.
Preparing an implementation
· 4 min read
What to bring to a customer data architecture review
Prepare the business question, source map, owners and acceptance criteria your team needs to scope a customer data implementation.
Work through the data
Understand identity, attribution and AI context before using the answer.
Revenue attribution
· 3 min read
How to connect your marketing to signed clients
A practical guide to joining website visits, bookings and CRM outcomes, so your team can follow the recorded path from a campaign to a client.
Customer data
· 3 min read
How to recognise the same customer across your systems
Understand why duplicate customer records appear, which identifiers can connect them and how to keep uncertain matches visible.
AI & business context
· 3 min read
Give AI the customer context it needs
Why an assistant reading a single export misses parts of your business, and how to prepare joined, sourced customer records for useful answers.
Build it with us
Bring one result you want to find.
A dedicated team maps the sources, checks the fit and builds it with you. Scope and price are agreed before work begins.