Insycle Product News Center
Enhanced Activity Tracker Filtering with Date Range Selection
In Insycle's Activity Tracker, you can now filter operations by specific time periods using the new Start Date and End Date selectors.
Previously, you could only filter operations by object type, template name, or Run ID. Now, you can also filter in the Activity Tracker results to show only operations that occurred within your desired timeframe. Simply select your Start Date and End Date to focus on the exact period you need to review.
This enhancement makes it much easier to audit operations from specific dates, track changes during particular campaigns or data cleanup initiatives, and analyze operational patterns over defined periods.
Learn more about using the Activity Tracker to access a complete audit trail and history of changes made through Insycle.
AI-Powered Mapping Accelerates CSV Imports in Magical Import
Insycle's Magical Import module now features AI-powered automatic field mapping to streamline your CSV import process.
When enabled, AI analyzes your CSV column names and automatically suggests appropriate CRM field mappings and matching criteria based on your data structure. This eliminates the manual work of mapping each column individually, particularly for standard fields like email, phone number, company name, and other common data points.
AI suggestions appear after your CSV loads, with automatically mapped fields ready to go and any unmapped columns clearly flagged for your review. You maintain complete control—review the AI suggestions and adjust any mappings that don't fit your specific needs.
To use this feature, ensure that AI is enabled for your object type in Settings > AI (requires at least a "Meta" level of access). If AI is disabled or unable to determine the appropriate mappings, you can still manually map fields.
This enhancement significantly reduces setup time for imports while maintaining the flexibility and data quality controls that make Magical Import powerful for complex data operations.
For complete, step-by-step instructions, visit our Magical Import Module Overview article in the Help Center.
Avoid "Multiple Matches" Association Errors with Sequential Selection Rules
In Insycle’s Associate app, you can add Selection rules to help identify the correct record to establish a relationship with if multiple potential matches exist.
Previously, all Selection rules had to match to be considered the right record.
Now, when you add multiple selection rules, the criteria are assessed sequentially, one at a time. If a record meets the first criterion, subsequent rules do not influence the selection. The first matching record is identified as the appropriate match, and no further rules are examined. If none of the rules determine the correct record, this results in a "Failed, Multiple target matches" result. No relationship will be created.
For example, if matching contacts to companies, you can set the first Selection rule as "Lifecycle Stage = Customer," and a second rule as “Number of Associated Deals = Highest.” If none of the companies have a Lifecycle Stage of Customer, it will proceed to evaluate the Number of Associated Deals values.
For complete, step-by-step instructions, visit our Link and Associate People to Companies article in the Help Center.
Ensure Merged Records Maintain an Active Owner
Currently, neither HubSpot nor Salesforce provides an automated way to prioritize active owners during the merge process. You'd need to verify owner status manually for each merge operation.
Fortunately, Insycle's Merge Duplicates module has two options that enable you to prioritize an active owner.
This can be helpful, for instance, if your sales team has undergone a restructuring and some former record owners have left the company. This feature ensures that when duplicate contacts are merged, the resulting record is automatically assigned to an active team member, not an inactive user who can't manage the relationship.
First, you can add a Master rule under Step 4 to instruct Insycle to select the record from each group with an active owner as the master record.
Add a rule with the following parameters:
- Field: Record owner
- Condition: active user
Second, you could create a Field rule to retain the owner who is an active user.
Add a rule with the following parameters:
- Field: Record owner
- Criteria: From record where value
- Condition: active user
Learn more about configuring data retention and master record selection.
Smarter, More Flexible CSV Matching for CRM Imports
Manually matching CSV rows to CRM records is tedious, as matches can vary by email, company, name, or location. Our new Matching Criteria feature streamlines this by allowing you to set a prioritized hierarchy of matching fields for automatic processing.
This upgrade makes CSV imports smarter, faster, and more adaptable to real-world data.
How It Works
- New "Matching Criteria" Fields: Replaces "Identity Field" in Step 2 of the import process.
- Multi-Criteria Matching: Set multiple rules (e.g., Email first, then Name + Company, then Name + Location).
- Automated Matching Flow: The system attempts the first rule, and if no match is found, it proceeds to the next, continuing until a match is made or all rules have been exhausted.
- Customizable Rule Order: Prioritize the most accurate matching criteria to improve results.
For example, you could use the following matching hierarchy for contact records:
- Email address
- First Name + Last Name + Company Name
- First Name + Last Name + Phone Number
Why It Matters
- Saves Time – No more re-running imports manually with different criteria.
- Improves Accuracy – Matches records based on your preferred order of criteria.
- Greater Control – Adjust and reorder rules to fit your data needs.
For complete, step-by-step instructions, visit our Magical Import Module Overview article in the Help Center.
Automate Insycle Data Management with Salesforce Flows
Integrating Insycle Recipes with Salesforce Flows lets you run your Insycle templates as soon as an event takes place in Salesforce, rather than waiting for hourly or daily automations to run.
You can insert your Insycle Recipes directly into Salesforce Flows for contacts, accounts, leads, opportunities, and custom record types.
For example, if a new contact record is added to Salesforce, it could trigger a Flow that sets off one or more Insycle Recipes. These Recipes could cleanse, format, and deduplicate the contact data, then assign an owner. Once the Recipes are complete, Salesforce will continue with the remaining Flow steps.
As a prerequisite to adding an Insycle Recipe into a Salesforce Flow, an Insycle user with the Owner role must enable the integration.
For complete, step-by-step instructions, visit our Integrate Insycle with Salesforce Flows article in the Help Center.
Compare Values Between Two or More Fields
We’ve added two new functions to the Transform Data module to help you compare values across two fields to determine whether the values are the same or different:
- Compare: Is Equal? (Exact), which searches for an exact match,
- Compare: Is Equal? (Related), which ignores capitalization differences and spaces before or after.
For example, you could use the Compare: Is Equal? function to check the First and Last Name fields for unhelpful data, such as someone entering their first name in both fields, like “Joe Joe”. If the values are the same, you could have Insycle clear the last name value.
Learn more about these functions and how to use them in the Compare: Look for Matching Values in Two Fields section of the Transform Data Function Catalog.
New Record ID and Special Field Notes When Merging HubSpot Contacts
In line with HubSpot's recent updates to merging contacts, Insycle has upgraded two features in the Merge Duplicates module:
New Record ID for Final Merged Contact Record
When HubSpot contacts are merged, a unique Record ID is created for the new resulting merged record. This value will appear in the Master (After) row of the CSV report.
Special CSV messages for select HubSpot contact fields
When you include certain fields in Step 4, Master rules, a special message will appear in the Master (After) row of the CSV. These fields do not follow the standard merge logic, and the message indicates how HubSpot will determine the value. This applies to the following fields:
- Lifecycle Stage
- Number of Form Submissions
- Number of Unique Forms Submitted
- Marketing contact status
- Number of Pageviews
- Original Source
- Legal basis for processing contact's data

Learn more about these details in the Insycle <> HubSpot Merge Logic section of our HubSpot Specific Considerations.
Ensure the Final Merged Record Maintains an Active Owner
Most CRMs lack an automated way to prioritize active owners during the merge process. You'd need to verify owner status manually for each merge operation.
However, Insycle's Merge Duplicates module has two options that enable you to prioritize an active owner.
First, you can add a Master rule under Step 4 to instruct Insycle to select the record from each group with an active owner as the master record.
Add a rule with the following parameters:
- Field: Record owner
- Condition: active user
Second, you could create a Field rule to retain the owner who is an active user.
Add a rule with the following parameters:
- Field: Record owner
- Criteria: From record where value
- Condition: active user
Learn more about efficiently merging duplicate records in your CRM.
Easily Change Date Formats in Bulk
Hi there,
We’ve added two date formatting options to the Transform Data module, letting you easily change date formats in both date fields and text or string fields to ensure consistency with other values in your database or maintain compatibility with other systems.
- Format: Date/Timestamp to MM-DD-YYYY
- Format: Date/Timestamp to DD-MM-YYYY
For example, if I have a ‘Contact Close Date’ field with dates like 2/10/21, I could use the ‘Format: Date/Timestamp to MM-DD-YYYY’ function to convert it to 10-02-2021.
Or, suppose I have an ‘Account Create Date’ timestamp value of “2024-05-07T01:09:30.273Z.” I can reformat this using the ‘Format: Date/Timestamp to DD-MM-YYYY’ option so it would be 05-07-2024.
Learn more in the Format: Ensure Data is Formatted Correctly section of the Transform Data Function Catalog.
