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Case studies

What retailers and publishers actually did with real-time segmentation, and what it changed. Each study covers the problem, the setup and the measured outcome.

+37%
search-driven sales at Instreet
82%
Google Ads customer match rate
10
ad networks kept in sync
3h
audience refresh cycle
Search personalization Instreet

Personalized search results lift sales 37%

A sportswear retailer reordered on-site search results against each visitor's live interest profile instead of showing everyone the same ranking.

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Paid media E-commerce

An 82% customer match rate in Google Ads

Syncing first-party audiences through Google Ads Data Manager to counter signal loss, with the feed rebuilt on a schedule so large audiences never time out.

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CRM enrichment Salesforce

Enriching Salesforce with live behavioural data

Static CRM records gained real-time behavioural context, so campaigns could react to what a contact did this morning rather than what they were last quarter.

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Mobile growth Sneaks Up

Turning mobile web visitors into app installs

High-intent mobile visitors were shown targeted install banners at the moment their behaviour said they were ready, instead of on every page.

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Ad revenue BeStyle

Smart banners segmented by live visitor interest

A retailer raised advertising revenue on its own inventory by matching each banner to the interests the visitor had shown in that session, served first-party from its own domain.

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What would this look like on your traffic?

Tell us your monthly request volume and the platforms you run, and we will walk through the closest comparable setup.