How many DMARC report emails should I expect to receive daily and how should I manage them?

Marketer from Email Geeks suggests throwing DMARC reports into a database and sending daily or weekly updates, noting they are in XML format, making it relatively simple.

Email marketer from EasyDMARC explains that high-volume senders will receive a large number of DMARC reports daily and recommends implementing a system for automatic processing to filter and interpret the data efficiently.

Marketer from Email Geeks explains that DMARC failure reports are only generated when there is a problem with DMARC alignment and that the failure report facility isn't widely adopted.

Email marketer from Quora recommends using a DMARC monitoring service as the best way to solve overload. These services generate detailed reports in a comprehensive view and highlight all possible threats.

Email marketer from MXToolbox recommends setting up both aggregate (RUA) and forensic (RUF) DMARC reporting, though RUF is less commonly supported. Aggregate reports provide a summary of email authentication results, while forensic reports offer details on individual failed authentications.

Email marketer from Mailjet suggests using a DMARC monitoring tool to aggregate and analyze DMARC reports, making it easier to identify and address authentication issues.

Email marketer from EmailonAcid emphasizes that DMARC reports are crucial for understanding how your email is being handled by receivers. They help identify legitimate and illegitimate sources, allowing you to refine your email authentication strategy and prevent spoofing.

Email marketer from Reddit suggests creating a dedicated mailbox for receiving DMARC reports and using a script or service to parse and visualize the data in a more understandable format.

Email marketer from Stackoverflow recommends using a programming language like Python with XML parsing libraries to automate the analysis of DMARC reports. This involves extracting key metrics and storing them in a database for easy access and reporting.

Email marketer from DMARC Analyzer mentions that understanding DMARC reports helps you detect spoofing attempts and improve your domain reputation. DMARC Analyzer helps you process the data and show a comprehensive, easy to understand overview.

Expert from Email Geeks explains that a recipient should get one DMARC report a day (on average) from each Mailbox Provider (MBP) they mail to, and an automated solution is recommended to manage the volume.

Expert from Email Geeks shares that very few places send RUF messages these days, so one shouldn't expect a lot of them.

Expert from Word to the Wise states that DMARC Aggregate Reporting provides senders insight into their authentication ecosystem and helps identify configuration issues. Regular analysis is essential to see if any authentication errors have taken place.

Expert from SpamResource explains that the volume of DMARC reports depends on the amount of email sent and recommends parsing the reports to identify potential problems such as unauthorized use of your domain. They suggest using automated tools to manage the report volume and extract actionable information.

Documentation from DMARC.org explains that the frequency of DMARC reports depends on the volume of email sent and the number of participating receivers. You should expect at least one report per domain per day from each reporting organization.

Documentation from Google Workspace Admin Help explains that DMARC reports can be used to monitor email sources using your domain, identify potential spoofing attempts, and improve email deliverability. They advise regularly reviewing these reports to ensure DMARC compliance.

Documentation from Microsoft explains that DMARC reports provide insights into SPF and DKIM authentication results and offer guidance on interpreting the XML data. They suggest focusing on alignment issues to improve email deliverability.

Documentation from URIports shares that DMARC reports are XML files and need to be parsed. They recommend using a DMARC reporting service or an open-source tool to analyze and understand the information within.