Weak or manual product recommendations
Recommendations in the email should match the ones on the page
One engine serves both in TryHQ, the all-in-one retention marketing platform for ecommerce brands, built out by a forward-deployed marketer.
The problem
When recommendations actively work against your average order value
Some recommendation setups surface whatever is cheapest or easiest to match, quietly dragging down AOV instead of lifting it. Others require so much manual customization that teams end up doing the engine's job for it, defeating the point of automation.
What we hear from brands
an ecommerce brand with a companion mobile app sees product recommendations surfacing very low-priced items, dragging down AOV
an industrial-supplies company wants recommendations based on industry affinities and cart context, but existing solutions require heavy customization
a home goods and drinkware brand says current upsells require significant manual editing and don't effectively cross-sell between categories
The new way
AI on autopilot, with business rules whenever you want the wheel
Recommendations can run entirely on TryHQ's AI engine, picking products from your inventory automatically. Or your team can fine-tune by color, price, category, or collection with no-code business rules, so merchandising expertise and machine learning work side by side instead of competing.
+15%
growth in website conversion rate
+8.7%
growth in AOV
+14%
in conversion rate
How it works
The migration plan, in three plain steps
Grant access
Your forward-deployed marketer needs visibility into your current setup to plan the move. That access is the starting point.
Review the plan, then step back
Once you approve the roadmap, your dedicated forward-deployed marketer handles data migration, integrations, and flow rebuilding, covering the vast majority of the work.
Launch with deliverability already warmed
Domain warm-up happens before go-live, so your first sends on TryHQ do not start from a deliverability deficit.
The platform
Enterprise capability, ecommerce timeline
The heavy parts of an enterprise CDP are already built and already connected to the channels, so the work left is configuration rather than a platform project. Brands get capability that used to take a year of integration.
Your forward-deployed marketer
Escalation without a ticket queue
A shared channel means a problem is described once, to the person who already knows the account, and the answer comes back in minutes rather than business days.
Shared Slack channel with your marketer
5-minute response time versus 72 hours elsewhere
No first-line triage before you reach someone who knows you
Replace your stack
Loyalty is the one brands regret leaving until last
A rewards program in its own app is a page customers have to seek out. Once it sits beside the campaigns and the profiles, it shows up where the shopper already is.
Replaces
Yotpo
Rebuy
Klaviyo
Attentive
Nosto
Ready to put the platform to work?
Talk to an expert about your setup, your timeline, and what a switch to TryHQ would actually involve.