Self-serve setup guides for marketing analytics integrations

A marketing ops manager at a 40-person company who just purchased an analytics product has one afternoon to figure out how to connect their Meta Ads account, their HubSpot CRM, and their Shopify store before their manager asks for a status update. The documentation that came with the product is written for a developer. The YouTube tutorials are from 2021. The support team will get back to them in 48 hours.

The vendors' documentation is thorough in describing what their product does but consistently vague about the specific field mapping decisions, the order of operations, and the gotchas that make setup take three times longer than expected. This isn't an accident — good documentation is expensive to maintain across dozens of connector versions, and most analytics vendors are more focused on building features than documenting the tedious middle layer.

The complaints are strikingly consistent: 'setup was a bit longer than expected,' 'requires some technical skills,' 'extra setup time required especially around connectors and integrations.' The gap isn't a missing feature inside any analytics product — it's a missing body of specific, tested, step-by-step instructions for the exact connector combinations that real teams actually use.

This is a business because the content depreciates and needs updating every time an ad platform or CRM updates its API — which happens constantly — creating a recurring production and maintenance cost that no single user, vendor, or blog can sustain. A paid guide library that a small team actively maintains and validates against real setups is something a marketing ops manager would pay $30/month for without a second thought, because the alternative is three days of trial and error that she cannot get back.

What to build

Publish and maintain a searchable library of step-by-step integration guides for the 20 most common connector pairs across 5–6 major marketing analytics products, validated monthly against live environments, with inline screenshots of every required field mapping decision.

Where to start

Start with one specific analytics product and one deeply painful connector — such as Salesforce to an attribution tool — and make that single guide so thorough, so current, and so specific that it ranks above the vendor's own documentation for that search query.

The hard part

The content becomes stale fast — ad platform and CRM APIs change frequently, and a guide that was accurate in January can actively mislead someone by April, meaning the maintenance burden per guide is higher than it looks at launch.

How it makes money

Monthly or annual subscription for access to the full guide library, with a free tier covering one or two connector pairs to drive organic discovery via search.