Data Retention
October 2024
Data Retention
Everflow is your trusted partner and committed to safeguarding the integrity and privacy of all customers’ data. Our approach is guided by the principles of data minimization, purpose limitation, and accountability, in order to align with applicable data protection regulations and provide Everflow customers a fully compliant data processing service.
As such, Everflow only collects data necessary to fulfill its mission of helping customers scale their growth. In most cases, we do not have the ability to associate PII data such as an email address with pseudonymous identifiers such as IP address or advertising identifiers.
Unless otherwise agreed upon, the following data retention schedule determines the length of time Everflow will retain your data in its possession.
Data Retention Schedule
System or Application | Data Description | Retention Period |
---|---|---|
Conversions
|
Information related to conversions
|
2 years |
Clicks |
Raw-level and High-level click data
|
Raw-level 90 days
High-level 2 years
|
Impressions |
Raw-level and High-level impression data
|
Raw-level 7 days
High-level 2 years
|
Granular Reporting
|
Sensitive information (sub1, sub2, sub3, sub4, sub5, adv1, adv2, adv3, adv4, adv5, IDFA, Google AD ID, IP, transaction ID, conversion ID) stored in our analytics storage engine (2)
|
2 years |
Summary Reporting
|
Reporting data such as offer, publisher, advertiser, smart link, creative will be retained for the entire tenure of the account
|
Indefinite |
Affiliate Postbacks
|
Information related to affiliate postbacks
|
1 year |
Advertiser Postbacks
|
Information related to advertiser postbacks
|
90 days |
Logins
|
PII information related to logins (all users)
|
180 days |
History (Audits)
|
Information related to the account history
|
2 years |
Inactive Accounts
|
Accounts that have been inactive for more than
|
6 months |
(1) For a detailed list of all columns requiring access to our analytics storage engine, please visit https://developers.everflow.io/docs/user-guide/rate_limiting/#granular-reports-bigquery-quotas