Matching & recommendations
The match engine is your product. We tune it so people find someone worth coming back for.
- C-level
- operators on your side
- 3 ways
- Consult, Embed, Run
- $0 to $350M
- revenue our operators built
How we think about matching & recommendations.
The match engine is the heart of a dating product, and most teams treat it as a black box they inherited. We open it up: scoring, candidate pool, cold-start handling, and the feedback loops that should be improving it every week.
We have tuned engines on networks of millions of users. The work is rarely a rewrite. It is usually a clear-eyed look at the inputs and the outputs and a series of small, well-measured changes.
Any of these sound familiar?
Match quality is a vibe, not a number you track.
Users swipe a lot but conversations and dates are rare.
New users in thin areas see an empty experience and leave.
The match logic has not been tuned in a year.
Where this hurts.
If the matches are bad, nothing else matters: not the marketing, not the paywall, not the features. Plenty of dating products run a match engine nobody has tuned in a year, optimized for swipe volume instead of mutual intent, so users churn before they ever have a conversation worth having. The match engine is the product, and most teams treat it as set-and-forget.
The work, spelled out.
- 01
Audit the engine against intent
We assess the current match and discovery logic against your audience and intent level.
- 02
Tune for mutual interest
Ranking and recommendations optimized for mutual interest and conversation, not raw engagement.
- 03
Fix cold start and thin areas
We solve the sparse-area and new-user problems that wreck the early experience.
- 04
Instrument match quality
We define and track mutual interest, conversation, and repeat sessions, so you can manage it.
- 05
Iterate on the signal
We tune continuously against the metrics that actually predict retention.
The result a partner sees.
- 01
Better matches, measured, which lifts conversation, retention, and word of mouth.
- 02
A discovery feed tuned to your brand's intent, not a generic swipe loop.
- 03
A metric for match quality you can actually manage.
Tangible artifacts, not slides.
A match-engine audit with the gaps named.
Tuned ranking and discovery logic.
A cold-start and density fix.
A match-quality metric and dashboard.
Three ways to bring us in.
We audit and recommend the changes, with the logic spelled out.
We embed with your data and product team to implement and tune.
We own the match engine as part of a managed product engagement.
Most agencies. Then us.
- Talks about algorithms in the abstract.
- Optimizes swipes.
- Ignores liquidity.
- Has tuned match engines on live dating products.
- Optimizes mutual interest and conversations.
- Treats matching and marketplace liquidity as one problem.
We have tuned engines on networks of millions of users.
We have tuned matching on real products at scale and on our own brands, where a better match shows up directly in retention and revenue.
Honest answers, before you ask.
Want this run, not just recommended?
Tell us where matching & recommendations is hurting. We will tell you what we would do. Then we will do it, or run it for a single management fee.