Insights die in dashboards.
Scores, segments, and forecasts sit in the warehouse and in BI tools nobody opens - not in the app where a rep or marketer would actually use them.
Solutions / Data Activation
Deliver your best data to where your teams actually work.
Send curated data from your warehouse into the CRMs, ERPs, ad platforms, and marketing tools where business teams and AI agents do their work - so insights turn into action, not another dashboard nobody opens.
Put decision-ready data where people and agents can act on it.
The problem
Your best data is trapped where teams can't act on it.
Teams re-key data by hand.
Analysts export CSVs and paste values into the CRM or ad platform - slow, error-prone, and stale the moment it's done.
A second, ungoverned tool.
Bolt on a separate reverse-ETL vendor and you've split governance and access control across two systems your security team now has to review.
How it works
From warehouse table to live record - no engineering project.
1
Warehouse source
Your warehouse is the source.
Point a flow at the modeled tables you already trust - customer scores, lifetime value, segments - in BigQuery, Snowflake, Redshift, Databricks, or PostgreSQL.
2
Field mapping
Map columns, pick a write mode.
Match source columns to the app's fields, then choose how records are written: insert new records, update existing ones, or upsert - match on a unique ID, updating it if it exists and creating it if it doesn't. Schedule it daily or hourly.
3
App delivery
Records land in the app.
Dataddo writes straight to the destination's API - Salesforce, HubSpot, Klaviyo, and more - handling each app's rate limits with pagination and dynamically sized requests.
What teams activate
Turn modeled data into everyday action.
1
Sales & CRM
Complete customer profiles in your CRM.
Scores, lifetime value, and recent cross-channel activity - where sales and success teams already work.
2
Planning & ERP
Better forecasting in your ERP.
A unified, ever-current view of sales and inventory trends for more reliable planning.
3
Ad spend
Maximize return on ad spend.
Push offline conversion data into ad platforms to target lookalikes in near real time.
Capabilities
Governed activation to every tool your teams use.
Warehouse to your business apps.
Push modeled data from your warehouse or database into the operational tools teams use - CRMs, ERPs, ad platforms, and marketing automation.
Insert, update, or upsert - per app.
Each destination exposes the write modes its API supports, so records are added, refreshed, or matched-and-merged exactly the way that app expects.
Governed on one platform.
Activation runs on the same platform and access controls as your ingestion. Enforce quality upstream with the Data Quality Firewall, then monitor delivery with alerting - not a separate ungoverned tool.
Activate from the UI, API, or your agents.
Build it in the UI, wire it into your stack through the REST API for deterministic, scheduled syncs, or drive it with AI agents over MCP - the Model Context Protocol, currently in beta. Deterministic by default, agent-driven when you need it.
API limits handled for you.
High-frequency activation moves large volumes. Dataddo manages each destination's API limits with pagination and dynamic request sizing, so syncs don't break.
Add new destinations fast.
400+ connectors, plus a universal JSON connector; custom connectors in about four weeks.
See exactly how sources, flows, and write modes fit together in the reverse-ETL documentation →
Popular destinations
Proof
What customers achieve.
3x
faster data collection
2-3
FTEs saved
1
tool for ingestion + activation
Ringside consolidated data collection and activation on Dataddo - running ELT and reverse ETL from a single platform.
Read the Full Case Study →
Time to value
Live this afternoon, not next quarter.
Connect the warehouse source, map your columns, choose a write mode, and set a schedule - a working activation flow in an afternoon, with no pipeline code to write or maintain.
See how to activate data in your stack
Talk to an engineer about your warehouse, destinations, and the insights you want to operationalize.