From the data you already have to a campaign you can actually run.
No jargon, no data science team, no long transformation programme. Five steps, each one producing something you can use.
One signal, five steps.
- 1
Bring the data you already have
Excel / CSVGoogle SheetsCustomer sales dataGA4Google AdsCampaign reportsCRM dataShopify data - 2
Find the opportunities
Highest-value customersUnexpected product affinityUnderused audiencesInefficient acquisition spendRepeat-purchase opportunitiesGeographic opportunitiesEmerging demand - 3
Decide what to do
Audience strategyPropositionMessageChannel strategyAcquisition plan - 4
Activate
Google SearchPerformance MaxMetaYouTubeCRMEmailDV360 (enterprise) - 5
Measure what happened
Recommendation → outcomeCampaign resultsNext opportunity
What data can I use?
You do not need all of these to start.
Customer data
Who buys, how often and how valuable different customers are.
Transaction and sales data
What people bought, where they bought and how much they spent.
CRM and Shopify data
Customer relationships, journeys, orders and product behaviour.
GA4 and website data
How visitors find and use your website.
Google Ads, Meta and campaign data
Which activity produced traffic, leads, conversions and revenue.
Product and geography data
Which products perform together and where demand is strongest.
Delivered into the Data-to-Activation application.
The website explains the method. The separate product is where the analysis, plans and outcomes live.
Data
The agreed data sources used for the engagement.
Opportunity Centre
Prioritised opportunities with the evidence behind them.
Audience Strategy
Who to target and why they are worth targeting.
Activation Plan
What to run, on which channel, in what order.
Campaign Brief
A brief your team or agency can execute.
Outcome Tracking
What happened after the recommendation and what should happen next.