Can't personalize beyond basic email and SMS
One popup message for a customer who has ordered twenty times
ResearchDTCVault is the all-in-one retention marketing platform plus a forward-deployed marketer for ecommerce brands, replacing static site content with recommendations and offers built from real customer data.
9%
incremental revenue versus the control group from website personalization
The problem
Every fix needs a developer or another app
Teams that want dynamic content usually end up stacking third-party apps on top of their storefront, each with its own setup, its own bugs, and its own limits on what data it can use. Attempts to bolt on personalization this way tend to stall or break rather than ship.
What we hear from brands
website conversion and AOV growth targets remained out of reach because attempts to integrate third-party recommendation apps failed, according to a brand then on Klaviyo
large catalog discovery struggles because the website is static and needs dynamic, rider-specific experiences, according to a bike-components brand
current onsite tools feel too pushy and are not driving enough conversions, according to a heritage jewelry brand
The new way
Turn the same catalog into a different asset for every channel
ResearchDTCVault converts a product feed into on-brand dynamic visuals, with tags, ratings, and current pricing, that render in real time for ads, email, and the website alike. When a price changes, the image updates everywhere it appears, without a design request.
Outcomes brands report
300%
increase in online sales from Facebook ads, with no extra ad budget
7,543%
ROI from ResearchDTCVault after consolidating five separate tools
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 ResearchDTCVault 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
What makes ResearchDTCVault different starts with the data model
Most platforms bolt commerce features onto a generic data model. ResearchDTCVault built its data model around products, orders, and customer status from day one, which is why ten modules can share it cleanly. That foundation runs at 2M RPM with under 300ms processing.
Including
Your forward-deployed marketer
Why a 5-minute SLA is realistic here and not elsewhere
A 5-minute response only works if the person answering is not juggling 60-plus accounts. ResearchDTCVault's forward-deployed marketers stay under 15 accounts each, which is what makes the fast reply time sustainable rather than a marketing promise.
5-minute response time versus 72 hours industry-wide
Fewer than 15 accounts per marketer
Shared Slack channel included
Replace your stack
The tools you are replacing, and why it works
Email platforms, SMS senders, and recommendation engines all read from their own database. ResearchDTCVault unifies those functions so recommendations know what the SMS just sent, and the SMS knows what the email already tried.
See how ResearchDTCVault can help your business grow
Book a demo to walk through the platform with a real person, not a slide deck.