Every metric & dimension
Pull the full AppLovin field set - not just a fixed preset - so your reports and models are never missing a metric or breakdown.
AppLovin
AppLovin
Marketing AnalyticsDataddo pulls the full AppLovin 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 AppLovin into reporting your whole team trusts
Marketing data is only useful when it's complete, clean, and current. Dataddo extracts the full AppLovin field set, governs it, and serves it to every dashboard, warehouse, and tool - continuously and without manual exports.
Blend across channels
Combine AppLovin with your other paid, organic, CRM, and sales sources so cross-channel performance lives in one place.
Backfill full history
Load historical AppLovin 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 AppLovin data reaches your reports.
Fresh on your schedule
Incremental, scheduled syncs keep AppLovin data current - as often as hourly - without manual exports or full reloads.
Governed & monitored
Delivery alerts and quality checks catch gaps in AppLovin data early, so dashboards and models never silently break.
DATASETS
What you can pull from AppLovin
The AppLovin connector provides a list of curated datasets - ready-made sets of metrics, dimensions, and attributes you can extract on a schedule. Need something specific? Any dataset can be forked and customized, or built from scratch, with our Universal Connector.
List of curated datasets
Dayday
datetime
Campaigncampaign
string
Campaign Id Externalcampaign_id_external
string
Campaign Package Namecampaign_package_name
string
Campaign Store Idcampaign_store_id
string
Campaign Typecampaign_type
string
Campaign Ad Typecampaign_ad_type
string
Campaign Bid Goalcampaign_bid_goal
float
Campaign Roas Goalcampaign_roas_goal
float
Bidding And Billing Methodbidding_and_billing_method
string
Optimization Day Targetoptimization_day_target
string
Target Eventtarget_event
string
External Placement Idexternal_placement_id
string
Countrycountry
string
Platformplatform
string
Device Typedevice_type
string
Traffic Sourcetraffic_source
string
Adad
string
Ad Creative Typead_creative_type
string
Ad Typead_type
string
Creative Setcreative_set
string
Creative Set Idcreative_set_id
string
Custom Page Idcustom_page_id
string
Placement Typeplacement_type
string
Sizesize
string
Impressionsimpressions
integer
Clicksclicks
integer
CTRctr
float
Conversionsconversions
integer
Conversion Rateconversion_rate
float
Costcost
float
Average CPAaverage_cpa
float
Average CPCaverage_cpc
float
Salessales
integer
Target Event Counttarget_event_count
integer
Ad Revenue 0Dad_rev_0d
float
Ad Revenue 1Dad_rev_1d
float
Ad Revenue 2Dad_rev_2d
float
Ad Revenue 3Dad_rev_3d
float
Ad Revenue 7Dad_rev_7d
float
Ad Revenue 14Dad_rev_14d
float
Ad Revenue 28Dad_rev_28d
float
Ad Revenue 30Dad_rev_30d
float
Ad Revenue 90Dad_rev_90d
float
Ad Revenue 1Yad_rev_1y
float
Ad ROAS 0Dad_roas_0d
float
Ad ROAS 1Dad_roas_1d
float
Ad ROAS 2Dad_roas_2d
float
Ad ROAS 3Dad_roas_3d
float
Ad ROAS 7Dad_roas_7d
float
Ad ROAS 14Dad_roas_14d
float
Ad ROAS 28Dad_roas_28d
float
Ad ROAS 30Dad_roas_30d
float
Ad ROAS 90Dad_roas_90d
float
Ad ROAS 1Yad_roas_1y
float
Total Revenue 0Dtotal_rev_0d
float
Total Revenue 1Dtotal_rev_1d
float
Total Revenue 2Dtotal_rev_2d
float
Total Revenue 3Dtotal_rev_3d
float
Total Revenue 7Dtotal_rev_7d
float
Total Revenue 14Dtotal_rev_14d
float
Total Revenue 28Dtotal_rev_28d
float
Total Revenue 30Dtotal_rev_30d
float
Total Revenue 90Dtotal_rev_90d
float
Total Revenue 1Ytotal_rev_1y
float
ROAS 0Droas_0d
float
ROAS 1Droas_1d
float
ROAS 2Droas_2d
float
ROAS 3Droas_3d
float
ROAS 7Droas_7d
float
ROAS 14Droas_14d
float
ROAS 28Droas_28d
float
ROAS 30Droas_30d
float
ROAS 90Droas_90d
float
ROAS 1Yroas_1y
float
Unique Purchasers 0Dunique_purchasers_0d
integer
Unique Purchasers 1Dunique_purchasers_1d
integer
Unique Purchasers 2Dunique_purchasers_2d
integer
Unique Purchasers 3Dunique_purchasers_3d
integer
Unique Purchasers 7Dunique_purchasers_7d
integer
Unique Purchasers 14Dunique_purchasers_14d
integer
Unique Purchasers 28Dunique_purchasers_28d
integer
Unique Purchasers 30Dunique_purchasers_30d
integer
Unique Purchasers 90Dunique_purchasers_90d
integer
Unique Purchasers 1Yunique_purchasers_1y
integer
Sales 0Dsales_0d
float
Sales 1Dsales_1d
float
Sales 2Dsales_2d
float
Sales 3Dsales_3d
float
Sales 7Dsales_7d
float
Sales 14Dsales_14d
float
Sales 30Dsales_30d
float
Sales 90Dsales_90d
float
Sales 1Ysales_1y
float
CPP 0Dcpp_0d
float
CPP 1Dcpp_1d
float
CPP 2Dcpp_2d
float
CPP 3Dcpp_3d
float
CPP 7Dcpp_7d
float
CPP 14Dcpp_14d
float
CPP 30Dcpp_30d
float
CPP 90Dcpp_90d
float
CPP 1Ycpp_1y
float
Cost Per Target Event 0Dcost_per_target_event_0d
float
Cost Per Target Event 1Dcost_per_target_event_1d
float
Cost Per Target Event 2Dcost_per_target_event_2d
float
Cost Per Target Event 3Dcost_per_target_event_3d
float
Cost Per Target Event 7Dcost_per_target_event_7d
float
Cost Per Target Event 14Dcost_per_target_event_14d
float
Cost Per Target Event 30Dcost_per_target_event_30d
float
Cost Per Target Event 90Dcost_per_target_event_90d
float
Cost Per Target Event 1Ycost_per_target_event_1y
float
Target Event Count 0Dtarget_event_count_0d
integer
Target Event Count 1Dtarget_event_count_1d
integer
Target Event Count 2Dtarget_event_count_2d
integer
Target Event Count 3Dtarget_event_count_3d
integer
Target Event Count 7Dtarget_event_count_7d
integer
Target Event Count 14Dtarget_event_count_14d
integer
Target Event Count 30Dtarget_event_count_30d
integer
Target Event Count 90Dtarget_event_count_90d
integer
Target Event Count 1Ytarget_event_count_1y
integer
Retention 1Dret_1d
float
Retention 3Dret_3d
float
Retention 7Dret_7d
float
Retention 14Dret_14d
float
Retention 28Dret_28d
float
Need a dataset, metric, or attribute you don't see?
Tell us what's missing and we'll add it to the connector.
WITH VS. WITHOUT
Who carries the load when things change
Keep AppLovin 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 AppLovin keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean AppLovin data lands in reports |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your AppLovin reporting keeps working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any AppLovin 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 AppLovin data is processed - same cloud, region, or sovereign
AppLovin 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 AppLovin 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 AppLovin data
Marketing data rarely has one home. Dataddo feeds AppLovin 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 AppLovin data into vector databases, LLMs, and AI agents so they can reason over your marketing data. | Load AppLovin data into vector stores like Pinecone or Weaviate for retrieval-augmented generation, Give AI agents and copilots governed access to live AppLovin metrics | |
| ETL / ELT to your warehouse | Load AppLovin metrics and dimensions into your warehouse for modeling and cross-channel analytics. | Centralize AppLovin alongside every other channel in Snowflake, BigQuery, or Redshift, Backfill AppLovin history beyond the platform's native retention window | |
| Activate audiences & conversions | Push segments and offline conversions built from AppLovin data back into ad and CRM platforms. | Send modeled audiences from AppLovin to ad platforms for targeting and suppression, Return offline or downstream conversions to optimize AppLovin campaigns | |
| Files to storage & partners | Deliver raw or modeled AppLovin extracts to object storage and partners. | Archive raw AppLovin exports to S3, GCS, or Azure storage, Send scheduled AppLovin 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.
Data to AITM
Serve governed business data to Claude, ChatGPT and other AI tools over MCP.
$10.49/month
per seat
3 seats minimum
Data AnywhereTM
Sync data between any sources and any destinations.
$99/month
3
Enterprise
Flexibly deploy Dataddo in any cloud or hybrid environment.
Custom
We have a payment model that works for you
FAQ
AppLovin as a source + Dataddo, answered
Where can I send AppLovin 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 AppLovin 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 AppLovin data to a dashboard without a warehouse?
Yes. Dataddo can deliver AppLovin 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 AppLovin changes their API?
That's on us, not you. Dataddo's team proactively tracks AppLovin 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 AppLovin data keeps flowing without you touching a thing.
Which AppLovin metrics and dimensions are available?
The full AppLovin 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 AppLovin 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.