How to Identify and Isolate Data Changes Using Keap Delta Exports Before a Rollback: A Step-by-Step Guide
Before executing a data rollback in Keap, it’s critical to understand precisely what data has changed. Unintended rollbacks can lead to significant data loss or corruption, impacting your operations and customer relationships. Fortunately, Keap’s Delta Exports offer a powerful mechanism to pinpoint these modifications. This guide will walk you through the process of leveraging these exports to identify and isolate specific data changes, ensuring you make informed decisions and maintain data integrity, safeguarding your valuable CRM information.
Step 1: Understanding Keap Delta Exports and Their Value
Keap Delta Exports are specialized data files that capture only the changes made to your CRM records within a specified timeframe, rather than exporting your entire database. This efficiency is invaluable when troubleshooting or preparing for a targeted data restoration. Instead of sifting through thousands of untouched records, you can focus solely on additions, modifications, or deletions. Recognizing the power of these exports is the first step in protecting your Keap data and ensuring that any corrective actions, like a rollback, are executed with precision, minimizing disruption and preserving crucial historical information that drives your business forward.
Step 2: Generating a Keap Delta Export
To begin, navigate to your Keap application and locate the data export feature. Typically, this is found within the Admin or Settings section under Data Management. When initiating an export, you’ll be presented with various options, including the ability to perform a “Delta Export.” Crucially, you’ll need to define a specific date range. For instance, if you suspect an issue occurred in the last 24 hours, set your start and end dates accordingly. Ensure you select the relevant record types (e.g., Contacts, Companies, Opportunities) that you believe might have undergone changes. Processing the export might take a few moments depending on the volume of changes, after which the file will be available for download, usually in CSV format.
Step 3: Preparing and Analyzing the Export File
Once you’ve downloaded the Delta Export CSV file, open it using a robust spreadsheet application like Microsoft Excel, Google Sheets, or a similar data analysis tool. The raw data can often appear overwhelming, so your first task is to organize it effectively. Apply filters to column headers and consider sorting by key fields such as “Date Created,” “Date Updated,” or “Contact ID” to establish a clearer timeline of events. Familiarize yourself with the various columns, paying close attention to any “Old Value” and “New Value” fields, which are specifically designed to highlight what data points were altered. This initial preparation is crucial for efficient analysis and quickly identifying discrepancies.
Step 4: Identifying Changed Records and Data Points
With your data organized, the next step is to actively identify which records and fields have been modified. Look for rows where the “Date Updated” falls within your period of concern. Filter for specific field names that you know were affected or search for keywords if you’re trying to locate changes related to a particular campaign or process. Many Delta Exports will also include columns indicating the type of change (e.g., “Added,” “Modified,” “Deleted”). Utilize these indicators to narrow your focus. For instance, if you’re looking for accidental deletions, filter for “Deleted” records. The goal here is to create a focused list of every single record and field that was altered, providing clarity for your next steps.
Step 5: Isolating Specific User or System Actions
Data changes don’t happen in a vacuum; they’re the result of an action, either by a user or an automated system. To effectively isolate changes, try to correlate the identified modifications with specific events. Look for columns indicating the “User ID” or “Automation Source” if available in your export. If you suspect a particular automation triggered an unintended change, examine records modified around the automation’s execution time. If a user mistakenly updated a batch of records, their user ID would be prominent across those entries. This granular isolation helps you understand the ‘who’ and ‘why’ behind the changes, which is crucial for preventing future errors and executing a surgical rollback.
Step 6: Validating Changes and Planning Your Rollback Strategy
Before you even consider rolling back data, rigorously validate every identified change. Compare the “Old Value” with the “New Value” for each affected field. Is the “New Value” truly incorrect, and is the “Old Value” the desired state? Consult with relevant stakeholders or cross-reference with other reliable data sources if uncertainty exists. Once validated, map out a precise rollback strategy. This might involve manually reverting specific fields, selectively restoring records, or using a more sophisticated tool for bulk reversal. A well-planned strategy, informed by your detailed Delta Export analysis, prevents unintended consequences and ensures data integrity is restored without further complications.
Step 7: Documenting Findings and Refining Processes
The final, yet often overlooked, step is to document everything. Record the specific changes identified, the method used for isolation, the validation process, and the rollback actions taken. This documentation serves multiple purposes: it creates an audit trail, informs future troubleshooting efforts, and provides valuable insights for refining your Keap processes. Analyzing why the incorrect changes occurred in the first place—whether due to human error, faulty automation, or misconfiguration—allows you to implement preventative measures. By learning from each incident, you strengthen your data governance and reduce the likelihood of needing another rollback in the future, fostering a more robust and reliable Keap environment.
If you would like to read more, we recommend this article: The Definitive Guide to Automated Keap CRM Data Protection & Instant Recovery





