Every channel measured. Every idea tested.

A/B testing is the gold standard. Few teams can run it.

Marketing is upstream of sales. It is expensive, and it hits above the line.

Most marketers say they test. Fewer than half keep a testing strategy up to date. The top blockers are too little traffic for a clear result, and too few people to set up, run, and read a test.

A test is only as good as the data under it: rich customer data, a tracking plan, and one data model across channels. Without them, your marketer spends the week wiring tools instead of marketing.

Channel effectiveness needs a technical view. Attribution can be measured or modeled, and the cost of each depends on your channels, your volume, and your data.

The marketing system, on the platform you own

We start as your marketing CTO, with a DataMind Diagnostic. We map every way you interact with customers, find the gaps, and list the known unknowns: what you cannot measure today, and what not knowing costs you.

Then we build. Every page view, email, ad click, store visit, and support ticket lands in your cloud under one customer ID, from the Customer Analytics & Insights Platform.

The funnel is measured step by step, with the system behind each step named and checked. Tests read from the same tables, so a winner on the site is checked against renewals, not only clicks. Every exposure, click, and redemption is written back to the customer record.

The right offer, for the right few

"Small business" is too wide to act on. So is "age 25 to 34." A microsegment is narrow enough to earn its own offer: renters new to a ZIP code, shops still on an old point-of-sale system, customers about to leave.

We build them by adding data to the customer record. Geospatial: where customers live, work, and shop. Technographic: the devices and software they run. Economic: income bands and local conditions. And the usage data unique to your product. It all lands in your customer data platform, so the site, the call center, and the agent can decide in real time.

Then we test it. Every microsegment offer runs against a holdout, so you know which data paid for itself. The payoff is published: fast-growing companies drive 40% more of their revenue from personalization than slower ones (McKinsey, 2021), and retail personalization leaders grow revenue 10 points faster than laggards (BCG, 2024). 71% of consumers expect it, and 76% are frustrated when they do not get it (McKinsey).

We have done this on almost every project: retail banking, search advertising, competing with Google, and finding who voice spammers target.