Appfigures
SourceUse Dataddo's Appfigures connector to explore any data available via the official API of Appfigures. Access hundreds of metrics and attributes, from basic to advanced. Build and blend custom datasets directly in Dataddo, then send them anywhere.
Explore Data You Can Extract from Appfigures
Data Category
- All Attributes (221)
- Ad Spend Daily Metrics (8)
- Ad Spend Daily Metrics by Product (9)
- Ad Spend Daily Metrics by Store and Country (12)
- Products (30)
- Ratings Daily Metrics by Product (11)
- Revenue Daily Metrics (12)
- Sales Daily Metrics (17)
- Sales Daily Metrics by Country (19)
- Sales Daily Metrics by Product (18)
- Sales Daily Metrics by Store (19)
- Sales Daily Metrics by Store and Country (20)
- Subscriptions Daily Metrics (29)
- Usage Daily Metrics by Network and Product (17)
Need fields you don't see?
Let us know and we'll add them to the connector. Just send a request here..
Available Attributes (221)
| Attribute |
|---|
date Date |
installs Installs |
clicks Clicks |
impressions Impressions |
cost Cost |
cpc CPC |
cpa CPA |
ctr CTR |
product_id Product ID |
date Date |
installs Installs |
clicks Clicks |
impressions Impressions |
cost Cost |
cpc CPC |
cpa CPA |
ctr CTR |
date Date |
country Country |
country_iso Country ISO |
store Store |
storefront Store Front |
installs Installs |
clicks Clicks |
impressions Impressions |
cost Cost |
cpc CPC |
cpa CPA |
ctr CTR |
id ID |
parent_id Parent ID |
store_id Store ID |
added_date Added Date |
release_date Release Date |
source_added_timestamp Source Added Timestamp |
updated_date Updated Date |
bundle_identifier Bundle Identifier |
developer Developer |
icon Icon |
name Name |
package_name Package Name |
price_currency Price Currency |
ref_no Ref No |
sku Sku |
source_active Source Active |
source_external_account_id Source External Account ID |
source_hidden Source Hidden |
source_is_competitor Source Is Competitor |
source_tier Source Tier |
source_type Source Type |
store Store |
storefront Storefront |
type Type |
vendor_identifier Vendor Identifier |
version Version |
accessible_features Accessible Features |
storefronts Storefronts |
price Price |
active Active |
product_id Product ID |
date Date |
alltime_average All Time Average |
alltime_rating_count All Time Rating Count |
alltime_positive All time Positive |
alltime_negative All Time Negative |
alltime_neutral All Time Neutral |
day_rating_count Day Rating Count |
day_positive Day Positive |
day_negative Day Negative |
day_neutral Day Neutral |
date Date |
ads Ads |
edu Edu |
sales Sales |
iap IAP |
returns Returns |
total Total |
gross_sales Gross Sales |
gross_iap Gross IAPS |
gross_edu Gross Edu |
gross_returns Gross Returns |
gross_total Gross Total |
date Date |
downloads Downloads |
edu_downloads Edu Downloads |
edu_revenue Edu Revenue |
gift_redemptions Gift Redemptions |
gifts Gifts |
gross_edu_revenue Gross Edu Revenue |
gross_returns_amount Gross Returns Amount |
gross_revenue Gross Revenue |
net_downloads Net Downloads |
promos Promos |
re_downloads Re-downloads |
returns Returns |
returns_amount Returns Amount |
revenue Revenue |
uninstalls Uninstalls |
updates Updates |
date Date |
country Country |
country_iso Country ISO |
downloads Downloads |
edu_downloads Edu Downloads |
edu_revenue Edu Revenue |
gift_redemptions Gift Redemptions |
gifts Gifts |
gross_edu_revenue Gross Edu Revenue |
gross_returns_amount Gross Returns Amount |
gross_revenue Gross Revenue |
net_downloads Net Downloads |
promos Promos |
re_downloads Re Downloads |
returns Returns |
returns_amount Returns Amount |
revenue Revenue |
uninstalls Uninstalls |
updates Updates |
product_id Product ID |
date Date |
downloads Downloads |
edu_downloads Edu Downloads |
edu_revenue Edu Revenue |
gift_redemptions Gift Redemptions |
gifts Gifts |
gross_edu_revenue Gross Edu Revenue |
gross_returns_amount Gross Returns Amount |
gross_revenue Gross Revenue |
net_downloads Net Downloads |
promos Promos |
re_downloads Re-downloads |
returns Returns |
returns_amount Returns Amount |
revenue Revenue |
uninstalls Uninstalls |
updates Updates |
date Date |
store Store |
storefront Store Front |
downloads Downloads |
edu_downloads Edu Downloads |
edu_revenue Edu Revenue |
gift_redemptions Gift Redemptions |
gifts Gifts |
gross_edu_revenue Gross Edu Revenue |
gross_returns_amount Gross Returns Amount |
gross_revenue Gross Revenue |
net_downloads Net Downloads |
promos Promos |
re_downloads Re-downloads |
returns Returns |
returns_amount Returns Amount |
revenue Revenue |
uninstalls Uninstalls |
updates Updates |
date Date |
country Country |
store Store |
storefront Store Front |
downloads Downloads |
edu_downloads Edu Downloads |
edu_revenue Edu Revenue |
gift_redemptions Gift Redemptions |
gifts Gifts |
gross_edu_revenue Gross Edu Revenue |
gross_returns_amount Gross Returns Amount |
gross_revenue Gross Revenue |
net_downloads Net Downloads |
promos Promos |
re_downloads Re-downloads |
returns Returns |
returns_amount Returns Amount |
revenue Revenue |
uninstalls Uninstalls |
updates Updates |
date Date |
active_subscriptions Active Subscriptions |
active_free_trials Active Free Trials |
new_subscriptions New Subscriptions |
cancelled_subscriptions Cancelled Subscriptions |
new_trials New Trials |
trial_conversion_rate Trial Conversion Rate |
mrr MRR |
actual_revenue Actual Revenue |
renewals Renewals |
first_year_subscribers First Year Subscribers |
non_first_year_subscribers Non-First Year Subscribers |
reactivations Reactivations |
transitions_out Transitions Out |
trial_cancellations Trial Cancellations |
transitions_in Transitions In |
activations Activations |
cancellations Cancellations |
trial_conversions Trial Conversions |
churn Churn |
gross_revenue Gross Revenue |
gross_mrr Gross MRR |
active_grace Active Grace |
new_grace New Grace |
grace_drop_off Grace Drop Off |
grace_recovery Grace Recovery |
new_trial_grace New Trial Grace |
trial_grace_drop_off Trial Grace Drop Off |
trial_grace_recovery Trial Grace Recovery |
product_id Product ID |
date Date |
store Store |
storefront Storefront |
app_store_views App store views |
avg_daily_active_devices Average daily active devices |
avg_optin_rate Average optin rate |
crashes Crashes |
daily_active_devices Daily active devices |
impressions Impressions |
monthly_active_devices Monthly active devices |
paying_users Paying users |
sessions Sessions |
sessions_per_device Sessions per device |
uninstalls Uninstalls |
unique_app_store_views Unique app store views |
unique_impressions Unique impressions |
Pricing
See all Dataddo plans
Compare Dataddo's flow-based pricing tiers side by side and start your 14-day free trial.
View pricingWhy Dataddo?
One Ingestion Layer for SaaS, Databases, and Files
Most teams use multiple tools and “spaghetti code” for ingestion, depending on the type of sources and loading patterns. Dataddo brings this under one control plane and one predictable pricing structure. 400+ connectors included.
Built for Cloud and On-Premise Environments
Run Dataddo in both cloud and hybrid on-prem configurations. The control plane stays in the cloud; your data never leaves your perimeter. Supports segmented and private networks, and legacy systems including DB2, Informix, and Sybase.
Full API Control - No UI Required
Dataddo is built API-first. Use the UI when you want it; bypass it entirely when you don’t and orchestrate your pipelines programmatically.
Managed Ingestion Operations. We Own the Reliability.
Dataddo takes operational responsibility for your ingestion layer. We manage connector maintenance, handle API changes from source systems, monitor pipelines proactively, and execute backfills and recovery. Your engineering team doesn’t have to.
Full Visibility Into Every Data Flow
Dataddo gives you complete observability across your ingestion layer: pipeline logs, run histories, data lineage, and audit trails. Know what moved, when it moved, what changed, and why. Built for environments where explainability and accountability are not optional.
The Data Foundation Your AI Needs
Enterprise AI depends on a governed, secure data layer. Dataddo consolidates SaaS, database, and file data into a unified managed pipeline, delivering to vector databases, feature stores, and data lakes, with native sensitive data hashing.
See What Other Organizations Have Achieved with Dataddo
70%
less
engineering work,
more time analyzing data
1
FTE saved
full-time equivalent
saved
37.5%
reduction
of infrastructure bill
on average
Our Customers Love Us
Amalia Bornstein
Global Social Content and Marketing Data Analyst
Uber Eats
“The data team at Uber Eats appreciates Dataddo's user-friendly interface that is designed for operation by non-technical team members in an order to minimalize the need for excessive training to support efficient project delivery.”
Andrew Hart
Chief Operations Officer
Sat 7
“Working with Dataddo has greatly simplified our reporting and given us access to trend data and insights that we were previously unable to generate.”
Vahan Petrosayan
Director of IT & Infrastructure
Search Engine Journal
“With Dataddo, all of my questions get answered faster …[and it's] fun to play with data now.”
Michael Guntenaar
CTO
ID&T Group
“Dataddo opens up gates and takes away the hurdles of working with data.”
Laurent Partouche
CPO
FoodChéri & Seazon
“We chose Dataddo for its user-friendliness, automatic transformations, clear pricing policy, and the quality of the human relationship that was established from our first exchanges.”
Natheer Maloon
Technology Solutions Manager
Boldr
“Dataddo support proved immensely valuable throughout the implementation phase. 9.5 out of 10.”
Zdeněk Hejnak
Data Development Team Leader
Livesport
“We save about 70% of the time it would otherwise take to ingest all our data, or 3-4 full-time equivalents, and spend this much more time on data analytics and activation. We only have one full-time data engineer, who does more than just collect data, while our BI team consists of 11 members.”
Greg Senior
Business Operations Manager
Farm Focus
“Appreciate all the help and support for us. A refreshing level of service from a tech company! Thank you!”