Marketing & CX

RetailNext measures actual in-store traffic before, during, and after a campaign, comparing campaign-exposed stores against matched control locations. That test-and-control approach gives you causal evidence of traffic lift — not just a correlation — so you can attribute store visits to specific campaigns with confidence.

Yes. RetailNext maps the full in-store journey — entrance, zone engagement, dwell time, and the path to purchase or exit — so CX teams can see where marketing-driven visitors engage, where they disengage, and how to optimize every touchpoint between the door and the checkout.

RetailNext compares the quality of in-store traffic driven by different channels — paid search, paid social, email, local — showing which send buyers versus browsers and which drive new versus repeat visits. You can then shift budget toward the channels that actually drive profitable store visits.

RetailNext exposes traffic and conversion data through APIs and exports, so in-store results flow into your marketing analytics, attribution, and BI tools alongside your digital data — making physical retail a measurable channel in your existing stack.

At minimum, campaign timing and the stores/markets targeted, so RetailNext can align traffic measurement to campaign windows and control groups. Richer attribution is possible when campaign spend and channel data are shared — our team will scope the right setup with you.

Once sensors are installed and a traffic baseline is established (installations are accuracy-audited at go-live), you can begin measuring lift on the next campaign window — with attribution confidence improving as more campaign cycles accumulate.