The enrichment market has settled on a story: static firmographics are commodity, and real-time signals are the differentiator. The story is correct about accounts you have already enriched. It says nothing about the 90% of your funnel you never touched. For most PLG teams, that unenriched majority is the bigger problem, and no signal layer solves it.
What is the enrichment market actually saying?
Vendors are converging on the same pitch. Autobound's 2026 enrichment guide states plainly that firmographic data "is still useful, but it's table stakes," because everyone draws on the same underlying databases, and positions real-time events like funding rounds and hiring surges as the new frontier (Autobound, 2026). Salesmotion's 2026 tools roundup makes the same move, describing field-filling as table-stakes work and account intelligence as the layer that earns the budget (Salesmotion, June 2026).
They are not wrong about the direction. Signals are genuinely more useful for timing outreach than a headcount band. The assumption underneath is the part worth examining: that you already know which accounts you care about.
Why does that assumption break in a PLG funnel?
In a sales-led motion, that assumption holds. Somebody built a target list, so every account on it is worth enriching, and signals tell you which to call this week.
A PLG funnel does not work that way. Signups arrive unqualified and mostly anonymous, and the sorting problem comes before the timing problem. A survey of 200 B2B software products put the median free-to-paid conversion rate at 8%, with a 10x spread between the top and bottom quintile of self-serve products (Growth Unhinged, ChartMogul and ProductLed, February 2026). Roughly nine in ten signups never pay. You cannot identify the tenth in advance without data on all ten.
So teams ration. They enrich the signups that look promising, which means enriching the ones that already looked promising, which is a filter that mostly confirms what somebody already assumed. Then they buy a signal layer that watches that same pre-filtered set.
Where did the rationing habit come from?
Cost, and the habit has outlived the constraint. Published per-call company enrichment prices in 2026 run from roughly $0.001 to $0.20, and the spread comes down to whether you are buying a cached record or a live crawl (ColdIQ, July 2026).
At the top of that range, enriching 10,000 monthly signups costs $2,000 and rationing is obviously correct. At the bottom, it costs $10 and rationing is just a leftover process. Most teams set their enrichment policy when the number looked like the first one and never revisited it.
What does this change for a builder?
Two things, both about sequencing.
Qualify before you time. Signal data answers "when." Firmographic coverage answers "who." If your routing rules run on an unenriched majority, you are timing outreach to a set somebody hand-picked, and the accounts you never enriched cannot generate a signal you will act on. Coverage comes before the signal layer, not alongside it.
Price coverage, not records. The question is not what a record costs. It is what covering your whole funnel costs per month, and whether that number is small enough that you stop deciding which signups deserve data. For most PLG funnels at current pricing, it is. Our own pricing is built around that number rather than around per-seat tiers.
What this does not change
Signals are still the right layer for timing, and this is not an argument against them. A funding round or a hiring surge tells you something a headcount band never will.
Firmographics also do not solve intent. A fully enriched funnel tells you which accounts fit. It does not tell you which are shopping. Teams that expect coverage alone to lift conversion will be disappointed, because coverage changes what you can route on, not how badly anyone wants your product.
And the commodity critique holds on its own terms. Field counts and refresh cadences are not differentiators. What differentiates is whether the economics let you run the same data across your entire funnel instead of a curated slice of it.
What to do this quarter
- Measure your actual coverage. Take last month's signups and count how many carry an industry and a headcount today. If it is under 50%, your routing runs on guesswork for the rest.
- Price full coverage before you price a signal layer. Multiply monthly signups by your current per-record cost. Compare that to what you are about to spend on intent data.
- Move one routing rule from self-reported to enriched data. Pick the onboarding question you ask users about their company and answer it from their email domain instead.
FAQ
Is signal data better than firmographic data?
They answer different questions. Signals tell you when an account is worth contacting. Firmographics tell you whether it is worth contacting at all. A signal on an account you never qualified is not actionable, which is why coverage comes first.
What is full-funnel enrichment?
Enriching every record that enters your funnel, including free-tier signups you have not manually reviewed, rather than only the accounts a rep or a list-builder selected. The point is to qualify on data instead of on a guess about which signups matter.
Why do PLG teams only enrich part of their funnel?
Cost, historically. When per-record pricing made enriching 10,000 monthly signups expensive, rationing was rational. Credit-based pricing at fractions of a cent per record has largely removed that constraint, but the habit outlasted it.
Does full coverage replace an intent or signal tool?
No. It changes what those tools can see. A signal layer watching 100% of your funnel surfaces accounts a curated list would have excluded, which is the point of running coverage first.
Check your own coverage
Pull last month's signup list and count how many records you could route on today without asking the user a question. That percentage is your real enrichment coverage, and it is usually lower than teams expect.
Get an API key and run it against that list. The free plan includes 100 credits a month, no card required. The API docs show what comes back from a domain.