See What Your Loyalty Programme Returns
An analytics pipeline that measures how a mall-dollar loyalty programme actually drives sales, refreshed as an automated monthly report.
- ThinkCol built an analytics pipeline that consolidates member and point-of-sale data across malls and systems, segmented by tier, region, and tenant.
- The pipeline measures CRM-attributed sales lift versus general footfall, repeat-visit lift, and same-day cross-category spend multipliers.
- Results are refreshed as an automated monthly effectiveness report, with member data masked and access to member-level detail role-based.
A leading mall operator's member rewards and mall-dollar programme generated millions of transactions a month, but the team couldn't see which spend it actually drove, which members responded, or where marketing budget paid back.
ThinkCol built an analytics pipeline that consolidates member and point-of-sale data across malls and systems, segments and attributes activity by tier, region, and tenant, and measures uplift — CRM-attributed sales lift versus general footfall, repeat-visit lift, and the same-day cross-category spend multiplier.
Results are refreshed as an automated monthly effectiveness report. Member data stays in the client's own secure environment, with personal data masked and role-based access to member-level detail.
Why customise? It encodes the client's own member tiers, mall-dollar mechanics, and tenant taxonomy — definitions no off-the-shelf dashboard knows.
