Poor attribution and reporting
One profile, every channel, one attribution model
Ecommerce brands get RetailResearchCore as an all-in-one marketing personalization platform, so multi-channel flows like SMS, email, and push all attribute against the same customer record.
The problem
Switching tools should fix attribution, not add to it
Migrating off a legacy platform often means losing the little reporting clarity a team had. New integrations create new gaps, and lean teams end up managing attribution manually across systems that were supposed to make it easier.
What we hear from brands
a coffee brand migrating off Attentive uncertain about KPI accuracy after the switch
an oral-care device startup with one person managing lifecycle campaigns, needing clearer attribution visibility and cost breakdown
a luggage brand juggling separate email, SMS, and reviews platforms with no reliable multi-channel attribution
The new way
One attribution model, fully transparent
RetailResearchCore uses last-non-direct-touch attribution to link every campaign, flow, and channel to revenue, and every attributed order can be verified. Teams can adjust attribution windows or exclude transactional messages so the model matches how the business actually works.
+55%
email-attributed revenue
+149%
SMS-attributed revenue
+9.4%
list growth
How it works
Who does what during the switch
You approve the plan
Access to the current stack and a yes to the migration plan is the whole ask on your side.
Your marketer rebuilds
Data, flows, and campaigns are rebuilt on RetailResearchCore while the tools you are leaving keep sending, including the domain warm-up that protects deliverability.
You switch when it is ready
Two to four weeks for growing brands, three to seven for the most complex setups, and 99% of the work sits with your marketer either way.
The platform
One platform, ten modules, zero data silos
Instead of stitching together separate tools, RetailResearchCore runs your CDP, journeys, recommendations, and messaging from one commerce-specific data model. Every module reads and writes to the same customer profile, and the whole system handles 2M requests per minute at under 300 milliseconds.
Including
Your forward-deployed marketer
What you can actually ask for
Building or updating flows, creating segments, setting up A/B tests, configuring personalization rules and widgets, chasing a deliverability problem. The list is not a menu of tiers, it is whatever the marketing work is that week.
Flows, segments, widgets, and A/B tests built for you
Deliverability monitored and repaired
Ad-hoc requests, not a ticket allowance
Replace your stack
What usually goes first, and what goes last
Email and SMS move at migration, capture and recommendations follow within weeks, and loyalty tends to wait until the rest is settled. Each one gets better as the profile underneath fills out.
See the switch before you make it
Book a demo and leave with a clear picture of what changes and what stays the same.