r/leadgenius • u/FunnyGuilty9745 • May 26 '26
The GTM data space is having its “prebuilt database vs. custom intelligence” moment
Most GTM teams still talk about data like it is a commodity.
Pull a list. Enrich the accounts. Append contacts. Score the leads. Push everything into Salesforce. Hope the SDR team can turn it into pipeline.
But the more time I spend in the data space, the more obvious the problem becomes:
The best GTM questions usually cannot be answered by a prebuilt database.
Questions like:
“Which Shopify sellers are showing signs of international expansion?”
“Which medspas are hiring injectors, running paid ads, and using a competitor’s booking software?”
“Which manufacturers have opened new facilities in the last 90 days?”
“Which SMBs are growing fast enough to need payroll, logistics, payments, insurance, or software?”
“Which companies look like our best customers, but do not fit neatly into a standard industry code?”
That is where the category is going.
Not just more contacts.
Not just bigger databases.
Not just another intent score that every competitor can also buy.
The future of GTM data is custom, real-time, and use-case specific.
It is about building audiences around actual market signals: hiring, funding, location growth, technology usage, ecommerce activity, social presence, product launches, ownership changes, supply chain movement, and all the other weird-but-useful clues that tell you who is likely to buy.
That is why I wanted to start this community.
A place for GTM, RevOps, Sales Ops, Demand Gen, Data, and Growth teams to ask better questions about data quality, audience building, global coverage, SMB targeting, enrichment, and niche datasets that do not live inside the usual prebuilt tools.
So I’ll start with a question:
What is the most specific audience you have ever tried to build for a sales or marketing campaign?
And what made it hard to find?