The moment arrives when a marketing ops manager realizes their attribution tool covers Google and Facebook but stops cold at LinkedIn Ads, G2 intent data, or the CRM their sales team actually uses — and the vendor's roadmap has no ETA. They're left exporting CSVs manually, building fragile spreadsheet merges, or waiting months for a native integration that may never come.
This gap persists because marketing analytics vendors are incentivized to build connectors for the highest-traffic sources first. A long tail of 300+ ad platforms, review sites, and niche CRMs can never be profitable enough to prioritize individually — so they don't. Users who need Copper CRM or Capterra data aren't loud enough as a group to move the roadmap, and the vendor's enterprise customers are usually fine with the major integrations already built.
What users specifically asked for was 'integrations using code / APIs that you can add in yourself' and 'more freedom around customisation of the output per integration.' The existing tools give you a fixed list of connectors with fixed field mappings. If your source isn't on the list, or if the connector exists but only syncs three fields when you need seven, you're stuck.
This is a business and not a feature because the connector maintenance problem recurs constantly — APIs change, auth tokens expire, field schemas shift after product updates. A team that builds one custom connector today will need it maintained next quarter and will need another one the quarter after that. No single analytics vendor will ever have the incentive to maintain the long tail, which means there's a permanent structural gap.
What to build
Build a self-serve connector authoring tool where marketing ops teams define an API source (endpoint, auth method, field mapping), schedule syncs, and push normalized data into their existing analytics tool via webhook or direct DB write — without touching the analytics vendor's native integration list.
Where to start
Start exclusively with G2 and Capterra intent data connectors into AgencyAnalytics and Marketo Measure, because that specific pairing is explicitly requested and neither vendor has a native connector — giving you a precise, searchable, complaint-driven entry point.
The hard part
Getting the first paying customer requires the connector to already work reliably for at least two or three of the most-requested missing sources — LinkedIn, G2, Copper — before you can demo it, which means significant upfront build before any revenue validation.
How it makes money
Monthly subscription per workspace, tiered by number of active connectors — starts free for one connector, charges $49–$149/month for teams managing three or more sources.
See the evidence. The complaints behind this idea, the products they came from, and similar ideas in Marketing Analytics.
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