Understand your entire user base
Product teams use Manifolds to understand who is actually using their product.
Join Manifolds data with PostHog, Amplitude, or your warehouse and you can analyze product behavior by role, company, industry, technicality, or whatever else matters to your business.
Which features do engineers use that PMs don't? What are your non-technical users doing? How do founders at small companies behave differently from PMs at larger ones? Which kinds of users convert?
Manifolds gives you the data to answer those questions across your entire user base.
There are only so many users you can talk to
User interviews are one of the best ways to understand how people use your product. They're also necessarily a small sample.
That gets especially tricky with PLG. Once you have tens or hundreds of thousands of users, there can be entire groups of people using your product that your product team barely knows exist.
We've seen this repeatedly with developer tools. A company builds for developers, then discovers a surprisingly large group of non-technical users in the product.
See what different kinds of users actually do
Once Manifolds data is in PostHog, Amplitude, or your warehouse, you can combine information about who someone is with everything you already know about what they do.
What are non-technical users doing in the product?
Which features do engineers use that PMs don't?
Do founders at small companies activate differently from PMs at larger companies?
Are enterprise users finding their way to parts of the product you didn't expect?
Understand how different segments convert
A signup funnel can tell you that 8% of users converted.
The more interesting questions usually start one level deeper.
How do founders at small companies convert compared with PMs at medium-sized companies? Do technical users activate faster? Are users at larger companies more likely to invite teammates?
With Manifolds, you can break down conversion by those groups and see the differences.
| SIGNUP | ACTIVATE | PAID | |
|---|---|---|---|
| small-company founders | 100% | 62% | 14% |
| mid-market PMs | 100% | 48% | 21% |
| enterprise engineers | 100% | 71% | 18% |
Find the users you didn't know you had
Consider a developer tools company with 50,000 monthly signups.
The product is built primarily for developers, but a meaningful chunk of the user base turns out to be PMs, founders, salespeople, RevOps teams, or other non-technical users.
Once you can identify those groups, you can see what they're actually doing in the product.
Sometimes a group that looks like an edge case turns out to be thousands of users.
Segment users around your actual product
Role, seniority, company size, and industry cover a lot of useful product analysis, but sometimes you need something much more specific.
Is this person technical? Does their company sell software to developers? Is the company building an AI product? What technologies does it use?
Manifolds can research custom attributes about your users and their companies, then send those fields into your product analytics alongside everything else.
See how your user base changes
Your user base isn't static.
You might start getting more PMs. Enterprise users might become a larger share of signups. A new industry might suddenly start adopting the product.
You can see those shifts in PostHog, Amplitude, or the reports you're already running in your warehouse.
Put the data where your product team already works
A lot of teams send Manifolds data into PostHog or Amplitude and attach it to their existing users.
Others put it in their warehouse and join it against product events there.
That gives you product events and Manifolds data on the same users:
From there, your product team can build reports and ask questions about the user base that weren't possible before.
How it works
A user signs up
Send their email address to Manifolds.
REQUESTPOST https://api.manifolds.run/v0/enrichments Authorization: Bearer mf_live_... Content-Type: application/json { "email": "p.singh@hoolimail.com" }Manifolds identifies and researches them
Manifolds identifies the person and company and runs any additional research you've configured.
RESULT · enrichment_card.created{ "event": "enrichment_card.created", "version": 1, "enrichment_id": "enr_33333333-3333-3333-3333-333333333333", "occurred_at": "2026-04-13T16:00:00.000Z", "data": { "person": { "email": "p.singh@hoolimail.com", "fullName": "Priyanka Singh", "jobTitle": "Software engineer", "roleSeniority": "ic", "emailAffiliation": "personal" }, "company": { "name": "Pied Piper", "website": "https://piedpiper.com", "sizeBucket": "11-50", "sizeMin": 11, "sizeMax": 50, "isYc": false, "verticalTags": ["software_it"], "capabilityTags": ["custom_software_services"] } } }Add the data to your analytics
Push the result into PostHog, Amplitude, your warehouse, or another system where you keep product data.
Compare product behavior across different users
Now you can break down activation, feature usage, retention, conversion, and other product behavior by the people and companies behind those events.
Why Manifolds
- Personal emails matter
PLG products get a lot of personal-email signups. Among our customers, they account for more than 70% of signups.
Identifying those users gives you a much more complete dataset to analyze.
- Match rate matters
Missing half your users can give you a pretty distorted picture of your user base.
Manifolds combines multiple data sources and does its own research to identify more of the signup stream.
- Research what matters to your product
Technicality might matter enormously to one company and not at all to another.
Manifolds can research the attributes that matter to your product, so those attributes can become part of your analysis.
- Built for large PLG user bases
Manifolds was built to research large streams of product signups continuously.
As new users arrive, their data can flow into the same product analytics systems your team already uses.
Know who's using your product
Your product analytics already contain a huge amount of information about what your users do.
Add Manifolds and you can understand who those users are, too.