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Ad platform API integrations

Ad platform API integrations that survive contact with production.

Every ad platform exposes its data differently, breaks differently and restates history differently. We build the integration layer that normalizes all of it into one warehouse schema your team can query without knowing which API a number came from.

  • Amazon Ads + SP-API
  • Google, Meta, TikTok
  • Retail media networks

What you get

One schema, whichever API a number came from.

Normalized across platforms

Campaign, ad group, keyword and conversion mean the same thing everywhere.

Rate limits respected

Queued, prioritized pulls that never lock out an account.

Tokens managed at scale

Credentials handled across hundreds of client accounts.

Every account visibly current

Per-account ingestion status, without opening a log.

The problem

Why connector tools stop being enough.

Off-the-shelf connectors cover the happy path. They fall over on the things that define ad data at scale: per-account rate limits that throttle exactly the reports you need at month end, conversion metrics defined differently on every platform, sandbox-only fields that silently return null in production, and OAuth tokens that expire across hundreds of client accounts at once. Once you are past a few dozen accounts, the connector becomes the bottleneck and nobody owns it.

What the integration layer covers

What's included.

  • Authenticated ingestion from Amazon Ads, Amazon SP-API, Google Ads, Meta, TikTok and retail media networks
  • A normalized schema where campaign, ad group, keyword and conversion mean the same thing across every source
  • Rate-limit-aware scheduling with queuing and backoff, so heavy report pulls never lock out the account
  • Token and credential management across multi-account, multi-tenant agency structures
  • Restatement-aware syncs that re-pull attribution windows rather than freezing yesterday as final
  • Per-account ingestion status, so you can answer "is this client's data current?" without opening a log

How we work

How we run it.

  1. Step 1

    Inventory every platform, account and metric you actually report on today

  2. Step 2

    Build the highest-spend platform end to end first, so one channel is trustworthy within weeks

  3. Step 3

    Normalize metric definitions in the warehouse layer, not in each connector

  4. Step 4

    Add the remaining platforms against the proven pattern, then hand over runbooks

What we use

Tools, platforms and methods.

  • Amazon Ads API
  • Amazon SP-API
  • Google Ads API
  • Meta Marketing API
  • TikTok Business API
  • Airflow
  • dbt

FAQ

Common questions.

Why not just use Fivetran or Supermetrics?

For a handful of accounts they are the right call, and we will tell you so. The break point is multi-tenant scale and custom metrics: per-client cost allocation, row-level access, retail media networks with no managed connector, and restatement handling. At that point you are paying per row for something that still needs an engineer, and owning the pipeline becomes cheaper and more flexible.

How do you handle API rate limits across hundreds of accounts?

Requests go through a central scheduler that knows each platform's limits and each account's priority, with queuing, exponential backoff and retry budgets. Heavy historical backfills run in windows separate from the daily syncs, so a backfill can never starve current reporting.

Who maintains the integrations when an API version changes?

Either your team or ours, decided up front. Deprecations are usually announced months ahead, so we track platform changelogs and schedule migration work before the cutoff. Everything ships with tests that fail loudly on an unexpected schema rather than writing nulls into your warehouse.

Can you integrate a platform that has no public connector?

Usually, yes. Most retail media networks and smaller DSPs offer a reporting API or scheduled file drops, and we have built ingestion against both. Where only a UI export exists, we will say so plainly rather than promise a fragile scraper.

Talk to an engineer.

Tell us which platforms and how many accounts you pull from. We'll tell you where connectors will break first.

Talk to an engineer