Weak or manual product recommendations

Your widget does not know a men's bag from a women's one

RealtimeHQ reads the catalog structure your merchandisers use, an all-in-one retention marketing platform for ecommerce brands, tuned by a forward-deployed marketer.

15

hours saved weekly on manual product curation

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

Matching that understands color, size, and material, not just category

Instead of grouping products by broad category, RealtimeHQ reads full product attributes so a red bikini top surfaces its matching bottom in the same size, material, and cut. Out-of-stock sizes are filtered out automatically, so customers never hit a dead end.

+22%

revenue growth on the same budget

20x

lift in new subscriber volume

How it works

From first call to fully live, without the downtime

01

Grant access, not headcount

You are not staffing a migration project. You are granting access and approving a plan your RealtimeHQ marketer builds around your goals.

02

Old tools run until the new ones are ready

There is no cutover cliff. Your current stack stays operational the entire time setup is happening in the background.

03

Timelines scale with complexity

Two to four weeks is typical for a growing brand. Complex, nine-figure operations run three to seven weeks, still with the same 99%-handled-for-you model.

The platform

Where the customer profile actually comes from

Store events, order data, campaign response, and site behavior write into the same record, with cleansing and error monitoring built in rather than bolted on afterwards.

Real-time CDPAnalyticsSegmentationOmnichannel journey builder

Your forward-deployed marketer

Included in the subscription, with no separate fee

The service is part of what you already pay for. There is no professional-services line, no hourly rate, and no tier where the help gets better.

Included with no additional fees

Same service regardless of account size

No hourly billing for marketing work

Replace your stack

The overlap audit that leads to RealtimeHQ

Auditing every tool that touches customer data usually turns up several doing the same job. Once that overlap is mapped, one platform can absorb most of it. That is the case RealtimeHQ makes against a stack built from separate email, SMS, recommendation, and loyalty tools.

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400+ use cases, one platform to see them in

There is a good chance your use case is already solved. Book a demo and we will show you where.