Weak or manual product recommendations

Recommendations that keep showing the same product in another color

TechResearchVault reads your catalog the way your merchandisers do, an all-in-one retention marketing platform for ecommerce brands where a forward-deployed marketer tunes the engine to your products.

The problem

Customers stay in one category and never see the rest of what you sell

Without automated, behavior-based cross-sell, shoppers who love one product line rarely discover adjacent ones. Campaigns end up treating every customer the same, missing the natural next purchase that's sitting right in your own catalog.

What we hear from brands

a natural body-care brand has limited ability to cross-sell soap buyers into skincare, with campaigns that treat all customers the same

a designer home-decor brand lacks automated product cross-sell flows and custom data points like product-view events

an online seafood purveyor cites limited cross-sell visibility and the need for better flow optimization and A/B testing

The new way

Recommendations powered by full-funnel data, not just page views

TechResearchVault's recommendation engines run on real-time CDP data: browsing, demographics, and purchase history combine to update suggestions instantly, even for anonymous visitors. Every click sharpens the next recommendation, so the picks a returning customer sees reflect everything they've done, not just their last session.

Outcomes brands report

8.9%

of sales influenced by product recommendations

11.2%

of total revenue assisted by recommendations

7%

of sales influenced by product recommendations

How it works

What onboarding with TechResearchVault looks like, step by step

01

Answer a few questions

One customer's CRM lead described it this way: provide access, answer a few questions, help with domain warming. Everything else was handled for her.

02

Your forward-deployed marketer does the heavy lifting

Data transfer, integration setup, and rebuilding flows and campaigns fall on your dedicated forward-deployed marketer, who covers 99% of the work.

03

Go live on a realistic clock

Expect two to four weeks for a growing brand, three to seven weeks for a nine-figure business with a complex setup.

The platform

Built around orders, not around contacts

Generic marketing platforms treat a customer as a row with attributes. Here the model starts from carts, orders, and catalog, so questions about repeat purchase or category affinity are queries rather than projects.

Including

Real-time CDPSegmentationProduct recommendationsPrice personalizationLoyalty and promotions

Your forward-deployed marketer

Named, and there next year too

You get one marketer by name who onboards you and stays as the account grows, bringing in deliverability or data specialists when a task needs them. Nobody hands your account to a queue after go-live.

A named marketer, not a pooled team

Specialists pulled in as the work needs them

Stays with the account long-term

Replace your stack

Three to five tools doing the same job, badly

Most brands auditing their stack find three to five tools with overlapping functions and no shared data. TechResearchVault is built to absorb that overlap into native modules for email, SMS, loyalty, on-site personalization, and recommendations.

Replaces

Klaviyo

Attentive

Yotpo

Rebuy

Segment

Everything is on the site, including the boring parts

What is included, what it replaces, and how the migration runs. No form in the way.