StreamFlows
Use Case

Ad Performance & Attribution

Sync spend, impressions, clicks, and conversions from every ad platform into your warehouse. Calculate true ROAS and build cross-channel attribution models.

The challenge

Ad data is siloed by platform

Google Ads, Meta, LinkedIn, and TikTok each report performance in their own dashboards with incompatible metrics and attribution windows.

No cross-channel attribution

Each platform claims credit for conversions independently. Without a unified dataset, you can't see which channels actually drive revenue.

Manual reporting is slow and error-prone

Pulling spend data from four platforms into a spreadsheet every week wastes analyst time and introduces copy-paste errors.

How StreamFlows solves it

Unified spend and performance data

Campaign, ad group, and ad-level metrics from every platform land in the same warehouse tables. Compare cost-per-acquisition across channels in one query.

True ROAS calculation

Join ad spend with revenue data from Stripe or Shopify to calculate return on ad spend that accounts for the full customer journey.

Daily automated syncs

Performance data updates on a schedule you define. Yesterday's spend is in your warehouse before the morning standup.

Custom attribution models

With raw touchpoint data in your warehouse, build first-touch, last-touch, or multi-touch attribution models tailored to your business.

Relevant connectors

StreamFlows connects to the tools your team already uses.

How your data flows

From your sources through StreamFlows into your destination warehouse.

Sources
Google Ads logo
Google Ads
Facebook Ads logo
Facebook Ads
LinkedIn Ads logo
LinkedIn Ads
TikTok Ads logo
TikTok Ads
StreamFlows
Extract
Schedule
Checkpoint
Load
Destinations
Google BigQuery logo
Google BigQuery
Snowflake logo
Snowflake
Amazon Redshift logo
Amazon Redshift

Ready to consolidate your data?

Set up your first pipeline in minutes. Connect a source, pick your streams, and start syncing to your warehouse.