Data that changes decisions.
We send customer segments, value predictions and sales signals from your data warehouse back to ad platforms and your CRM.
Pulse your data to every channel.
From data to decision.
The hard part of a BI project isn't finding insights, it's getting them to change what the business does. A group of customers about to leave is worthless unless it reaches the CRM and triggers outreach. A customer value prediction stays theory unless it affects your ads.
That's why we return the results to where decisions are made (reverse ETL): customer segments as audiences on platforms, value and churn predictions as fields in the CRM, product recommendations in the e-shop, sales signals in bidding.
The data warehouse then becomes the single source of truth feeding every system, and BI stays connected to what runs the business.
What changes for you.
Customer segments
We define segments once (customer value, behaviour, lifecycle stage) and activate them consistently across all platforms, email and the site.
Predictions in the CRM
Predictions of customer value, churn and purchase are written into the CRM. Sales and marketing work from the same facts.
Sales signals
Offline sales and customer value flow back to platforms, so bidding directs budget to high-value customers, not just more conversions.
On-site personalisation
Product recommendations and content rules based on the same customer profile used in marketing strategy.
Into operations too
Where it makes sense, data feeds logistics, customer service and finance. When data moves in both directions, BI reaches the whole business.
Sync control
We set frequencies, precedence rules and failure alerts, so activation stays reliable and doesn't turn into data chaos.
How we work.
Mapping
We start from the decisions: which would improve with warehouse data (ads, CRM, site, operations) and how often.
Definition
We define segments, calculations and sync frequencies, and document the data format for each destination system.
Delivery
We build the syncs, adapt the destination systems to use the new signal and set up monitoring for failures.
Improvement
We measure what each sync achieves. Segments that change nothing are reviewed and predictions that miss are retrained.
Common questions.
Activate your data.
Let's talk about how your warehouse data will reach ads, the CRM and the site, where decisions are made.
Request a data audit