Experimentation / CRO

Experimentation and Testing Programs acknowledge that the future is uncertain. These programs focus on getting better data to product and marketing teams to make better decisions.

Research & Strategy

We believe that research is an integral part of experimentation. Our research projects aim to identify optimization opportunities by uncovering what really matters to your website users and customers.

Data and Analytics

90% of the analytics setups we’ve seen are critically flawed. Our data analytics audit services give you the confidence to make better decisions with data you can trust.

Personalization tool

Algonomy

Retail personalization suite (search, recs, dynamic listing pages, content/styling, social proof, shopping agent) built on the earlier RichRelevance/Manthan merger. Now operating under the ADA brand after ADA acquired Algonomy in July 2026.

Recommendations and search
E-commerce, Marketplace

The vendor’s claim

Algonomy (formerly RichRelevance and Manthan) is now part of ADA; searches intuitively lead to products specific to the shopper's preferences.
Source

Where it’s strong

  • Search, recs, dynamic product listing pages, and content/styling ("ensembles") in one commerce layer, not just a recs pod
  • Used by 400+ brands, giving it real production scale versus a point solution

Where it runs out

  • The vendor no longer exists as a standalone brand: since the July 2026 ADA acquisition, the product operates under ADA. A real continuity/roadmap risk for anyone evaluating 'Algonomy' today
  • The old 'landing page to cart' framing is no longer on the live page; the current site organizes the suite around named modules (Find, Recommend, Discover, Ensemble AI, Shopping Agent) instead

Best for

Retailers evaluating a full-funnel merchandising layer, with the caveat that the vendor relationship is now with ADA, not a standalone Algonomy.

Questions before you buy more of it

  • Where is the recs and ranking holdout?
  • What changes for existing Algonomy contracts now that ADA owns the product: same team, same roadmap?

Connected applications

Session-first recommendations

This visit's job outranks last year's purchase.

They're ready to buy something new. You keep selling last time.

Intent-weighted search ranking

Results respect the query, then history. Not the other way around.

They searched for something specific. You showed bestsellers.

Compare it in the hub

Put up to three tools side by side, or start from the customer situation you want to personalize.