Paid social data layer for agency reporting tools

The moment it becomes a problem: an agency account manager is building a client report on a Friday and realizes TikTok data is 36 hours stale, the Facebook breakdown they need — by business page, not just ad account — doesn't exist, and Reddit has no integration at all. They spend two hours exporting CSVs and pasting them in manually. The client sees the report Monday and asks why it looks different from what's in the native dashboards.

This gap persists for a structural reason: reporting tools need to maintain integrations with dozens of platforms simultaneously, and every time a platform like Meta changes its API (removing metrics, changing scopes, breaking token refresh), the reporting vendor has to triage which fixes matter most to enough customers to justify the sprint. TikTok's API has been notoriously unstable for third-party reads. Reddit's API has been actively hostile to developers since 2023. So reporting tools deprioritize broken integrations, and agencies absorb the pain silently because they're not the ones loudly filing support tickets — their clients are.

What's actually missing: a normalized read layer that sits between the paid social APIs and downstream reporting tools, handles the per-platform quirks (TikTok's pagination lag, Facebook's ad account vs. page hierarchy, Meta's video view metric deprecations), and outputs a consistent schema that any reporting tool can ingest via webhook or API pull. Agencies aren't asking for a new dashboard — they're asking for data that actually shows up, with the right fields, at the right granularity.

This is a business and not a feature because the underlying APIs keep changing. Meta has already removed metrics twice in the past year. TikTok's API evolves independently of any single vendor's roadmap. The maintenance burden is continuous and specialized — which means a vendor whose only job is keeping these feeds clean will always be ahead of a reporting tool that treats it as one of fifty integrations. Every agency that has even two clients running paid TikTok or Reddit campaigns has this problem every single week.

What to build

Build a managed data connector that reads from TikTok Ads, Meta (with ad-account-to-page mapping preserved), and Reddit Ads on a configurable schedule, normalizes fields into a fixed schema including video view metrics, and pushes clean JSON or CSV to a webhook or Google Sheet that any reporting tool can consume without touching the native APIs directly.

Where to start

Start with agencies already using AgencyAnalytics who are specifically losing TikTok and Reddit data — they've already named the problem publicly in reviews and are actively looking for a workaround, so they're pre-sold on why a standalone connector makes sense.

The hard part

TikTok's API rate limits and authentication refresh cycles are genuinely unreliable, which means your core value proposition — data that actually shows up on time — is hostage to a platform you don't control, and the first time a customer's TikTok feed goes dark, they blame you, not TikTok.

How it makes money

Monthly subscription per connected ad account, tiered by volume — starts around $15-25 per account per month, with a setup fee for custom field mapping on Meta page-level breakdowns.