65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.

One of the world's largest beauty and consumer goods companies manages one of the most complex social media presences in the industry — hundreds of brands, dozens of markets, and tens of thousands of individual accounts across Facebook, Instagram, YouTube, TikTok, and more.

This is how they unified their entire social media data estate inside their own Google Cloud Platform environment, with zero ongoing manual authorization work.

The Challenge: Authorization at Scale

Scale breaks most data integration tools. For this customer, the unit of scale wasn't data volume — it was authorization complexity.

Connecting to Facebook or Instagram isn't difficult. Connecting to 65,000 individual brand accounts, each requiring its own OAuth authorization, each potentially added or removed at any time, across dozens of markets — that's a different problem entirely.

The existing setup combined multiple vendors and homegrown components. The result: high maintenance overhead, slow onboarding for new accounts, brittle pipelines that required constant attention, and no single view across platforms. Three requirements ruled out standard tooling: all data had to stay inside the company's own GCP environment; account authorization had to be fully automated at scale; and the vendor had to commit to an ongoing engineering partnership, not a one-off deployment.

The Solution: Enterprise Deployment Inside the Customer's Cloud

Dataddo deployed its data integration platform inside the customer's own GCP tenant — a fully managed layer running in their environment, not ours. The entire integration layer runs on Google Cloud Run within the customer's GCP environment. Data never touches Dataddo's infrastructure. For a company with strict data governance requirements, this eliminated most other vendors from contention.

The core engineering challenge was authorization governance. Dataddo's MCC (Multi-Client Center) governance layer tracks every account across all social media platforms — automatically picking up new accounts as they are added, and cleaning up removed ones. At peak, this covered approximately 1,200 active authorizers for Facebook and Instagram alone. The customer's team no longer manages individual account connections — the platform does.

This was not a self-serve deployment. Dataddo committed to a weekly engineering cadence — standing calls with the customer's data team throughout the rollout. The initial phase deployed approximately 50,000 sources into production. Connectors were built, tested, and tuned collaboratively. Dataddo then ran structured knowledge-transfer sessions so the customer's team could take full ownership. The customer now self-maintains the platform. That was always the goal: build something robust enough to run without Dataddo holding it together.

The architecture was designed for growth from day one. Facebook and Instagram went live first. YouTube followed. TikTok was added next. Each new source slots into the same platform without re-architecting anything.

Beyond Social Media: A Platform That Keeps Expanding

Once the social media platform was running reliably, new use cases came naturally — because the infrastructure was already there.

A new connector routes email data directly into the customer's BigQuery environment, replacing a previous vendor on this workstream. The retail POS system (Cegid Retail Y2) is now being connected to bring transactional, inventory, and customer data into the same analytical environment as social media. Amazon Ads is ready to deploy at contract signature.

Each expansion required no new infrastructure decisions. The platform scales horizontally because it was designed to.

The Results

The customer runs a data integration platform covering 65,000+ social media accounts with no ongoing dependency on Dataddo for day-to-day operations. Manual authorization work has been eliminated. New brand accounts flow into the platform automatically — no manual intervention required.

The relationship continues to expand precisely because the platform keeps unlocking new use cases: the same infrastructure that handles social media now handles email, retail POS data, and is ready to grow further.

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