Every metric & dimension
Pull the full Equativ field set - not just a fixed preset - so your reports and models are never missing a metric or breakdown.
Equativ
Equativ
Marketing AnalyticsDataddo pulls the full Equativ metric and dimension set and delivers it wherever your team needs it - into AI tools and agents, straight to Looker Studio, Power BI, and Tableau, or into Snowflake, BigQuery, and your CRM and ad tools. Blend it with every other channel, backfill full history, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.
YOUR MARKETING SOURCE OF TRUTH
Turn Equativ into reporting your whole team trusts
Marketing data is only useful when it's complete, clean, and current. Dataddo extracts the full Equativ field set, governs it, and serves it to every dashboard, warehouse, and tool - continuously and without manual exports.
Blend across channels
Combine Equativ with your other paid, organic, CRM, and sales sources so cross-channel performance lives in one place.
Backfill full history
Load historical Equativ data beyond the platform's native retention window, so trends and year-over-year comparisons hold up.
Model & clean before load
Normalize currencies, time zones, and naming, and let the Data Quality Firewall stop bad rows before Equativ data reaches your reports.
Fresh on your schedule
Incremental, scheduled syncs keep Equativ data current - as often as hourly - without manual exports or full reloads.
Governed & monitored
Delivery alerts and quality checks catch gaps in Equativ data early, so dashboards and models never silently break.
Data model
Complete freedom over your Equativ data model
Dataddo doesn't lock you into a fixed set of reports. Every metric and dimension Equativ exposes is available, and you choose the exact combination you need - so your data model answers your questions, not a vendor's template.
Complete data-point coverage
- 254+ metrics and dimensions available today
- Complete coverage of everything the Equativ API exposes - not a curated subset
- New fields become available automatically as Equativ adds them
Popular field combinations
A few combinations teams commonly build with Equativ - you are free to define any others.
| Metrics | Broken down by | What you get |
|---|---|---|
|
ImpressionsClicksClick Rate
|
Campaign NameAdserving Creative Name
|
Track impression and click delivery by campaign and creative. |
|
Adserving RevenueAdserving eCPMeCPC
|
Advertiser NameCountry Name
|
Analyze ad-serving revenue and eCPM by advertiser and geography. |
|
ImpressionsCompletion Rate
|
Format NameDevice Type Name
|
Compare format performance and completion across devices. |
|
Header Bidding ImpressionsImpressions
|
Delivery ChannelCountry Name
|
Compare header-bidding and direct delivery by channel and geo. |
WITH VS. WITHOUT
Who carries the load when things change
Keep Equativ data flowing to every dashboard, warehouse, and tool - and see who owns it when an API or schema changes:
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| API or auth change | You discover the breakage and scramble to fix it. | We update the connector and restore the pipeline - often before you notice. | Syncs from Equativ keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean Equativ data lands in reports |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your Equativ reporting keeps working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any Equativ metric you need, on request |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Gaps caught before dashboards break |
| Debugging | You dig through logs across disconnected tools. | Run histories, payload inspection, and end-to-end lineage in one place. | Faster root-cause, fewer reporting gaps |
Data residency by design
Choose where Equativ data is processed - same cloud, region, or sovereign
Equativ is a cloud API, so the question isn't on-prem vs cloud - it's which region your data flows through. With Dataddo you run the data plane in the region you choose, so Equativ payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance, or self-host when a downstream target lives inside your own network.
| Data Plane location | Typical data sensitivity | Why this setup |
|---|---|---|
|
Public cloud 
AWS
Microsoft Azure
Google Cloud
|
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. | Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud. |
|
Regional & EU sovereign clouds
EU sovereign clouds
Regional providers
Private cloud
|
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. | Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure. |
|
On-premises 
Kubernetes
Red Hat OpenShift
VMware Tanzu
|
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. | Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only. |
DATA DELIVERY
Every way to deliver Equativ data
Marketing data rarely has one home. Dataddo feeds Equativ into AI and agents, loads it into your warehouse for modeling, activates audiences back into ad and CRM tools, and delivers files to storage - all governed the same way.
| Transport type | What it does | Typical destinations | Typical business use cases |
|---|---|---|---|
| Data to AI™ & Agents | Feed Equativ data into vector databases, LLMs, and AI agents so they can reason over your marketing data. | Load Equativ data into vector stores like Pinecone or Weaviate for retrieval-augmented generation, Give AI agents and copilots governed access to live Equativ metrics | |
| ETL / ELT to your warehouse | Load Equativ metrics and dimensions into your warehouse for modeling and cross-channel analytics. | Centralize Equativ alongside every other channel in Snowflake, BigQuery, or Redshift, Backfill Equativ history beyond the platform's native retention window | |
| Activate audiences & conversions | Push segments and offline conversions built from Equativ data back into ad and CRM platforms. | Send modeled audiences from Equativ to ad platforms for targeting and suppression, Return offline or downstream conversions to optimize Equativ campaigns | |
| Files to storage & partners | Deliver raw or modeled Equativ extracts to object storage and partners. | Archive raw Equativ exports to S3, GCS, or Azure storage, Send scheduled Equativ report extracts to clients over SFTP |
Claude
Snowflake
BigQuery
Amazon Redshift
PostgreSQL
Google Ads
Meta
HubSpot
Salesforce
Google Cloud Storage
Azure Blob Storage
SFTP
Case Studies
See what data teams build with Dataddo
65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.
Beauty & Consumer Goods
How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo
Entertainment
How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts
Entertainment
How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo
Healthcare
How Ringside.ai Builds a Data Product Better and Faster Using Dataddo
Marketing
How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product
Advertising
Pricing
Pick the plan that fits how you use your data.
Move data into your warehouse, lake or business apps with Data Anywhere, or let your AI assistants query it directly with Data to AI™. Need tailored contracts or volume pricing? Talk to us about Enterprise.
FAQ
Equativ as a source + Dataddo, answered
Where can I send Equativ data?
To any of Dataddo's 150+ destinations - BI dashboards like Looker Studio, Power BI, and Tableau, warehouses like Snowflake and BigQuery, CRMs, ad platforms, object storage, and AI or vector stores - plus custom destinations on request.
Do I have to maintain the pipeline?
No. Dataddo is fully managed: we maintain the Equativ connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.
Can I send Equativ data to a dashboard without a warehouse?
Yes. Dataddo can deliver Equativ data straight to Looker Studio, Power BI, or Tableau, so you can start reporting without standing up a warehouse first. When you're ready to model across channels, point the same pipeline at Snowflake, BigQuery, or Redshift - no rebuild.
What if Equativ changes their API?
That's on us, not you. Dataddo's team proactively tracks Equativ API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your Equativ data keeps flowing without you touching a thing.
Which Equativ metrics and dimensions are available?
The full Equativ API surface - every metric, dimension, and breakdown, not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.
How is my data secured?
Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.
Will API rate limits or sampling be a problem?
Dataddo handles Equativ pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within quota. Where the platform samples data, we fetch at the most granular level available to keep reports accurate.
Am I locked in?
No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.