Intercom Merge Duplicates Overview

Yes. You can use a customized list of duplicates and use the Magical Import module to tag duplicates in your CRM, then use the Merge Duplicates module to deduplicate in bulk. Include ID numbers from your connected CRM in your CSV.

Yes, Insycle can deduplicate across leads and users at the same time. Please check out this article to learn more: Deduplicate Across Intercom Users and Leads.

Insycle shows 50 records on the module screen as a preview, this isn't the entire list of records. View the Preview CSV report to see the results for all records.

Insycle can process thousands of duplicate groups in one operation. Potentially, you could deduplicate your entire database in one operation.

Currently, there are two ways to make sure that the records that you are merging are indeed duplicate records.

First, always run your deduplication templates in Preview Mode before running them in Update Mode. This produces a CSV that shows you how your records would have been merged. Then you can ensure that your Merge Duplicates template is working as expected and not merging non-duplicate records together.

Additionally, you can reduce risk when merging duplicates by narrowing your filter in step 1. Use Exact Match instead of Similar Match. Make sure that you are using true uniquely identifying fields—first name, last name, email, and phone number are popular choices. The more tightly defined your filter is, the less likely you are to merge non-duplicate records.

Yes, Insycle does offer an intercom inbox app. To learn more, check this article: Deduplicate in Intercom Inbox with the Insycle App.

You can merge as many duplicates as you would like into one single master record. This setting is available in Step 3 of the Merge Duplicates module.

This setting is here to ensure that if you set too broad of a filter, you do not accidentally merge many non-duplicate records together on accident. You can change the setting as needed to match the size of your duplicate groups. If you are going to set this number at a high level, it is a good idea to run in Preview Mode first to make sure your deduplication template is operating as you intend.

All plans include unlimited usage, unlimited users, and unlimited operations. See the pricing page for more details. However, during the free trial, there is a cap of 500 records updated, cleansed, or merged.

Yes, Insycle allows you to select which field data is retained in the master record using the Fields tab under Step 4. See the Bulk Merge Duplicate People, Companies article for more detail.

Yes. You can exclude records from deduplication by including a "Deduplication Exclude" field in your CSV, as detailed in this help article.

If the Result column of the CSV report displays this error:

Cannot determine master record because multiple records (#) satisfy the master selection rules. In ‘Master Selection’, change/add/reorder the rules such that only one record satisfies them (if cannot determine master based on field values, use ‘ID is lowest’ as the last rule).

This error means that based on the master rules you set, Insycle could not figure out which would be the master.

Check Step 4 to ensure that you have Priority Match selected and not Absolute Match.

With Priority Match, the rules configured in the Records tab of Step 4 are processed in order and your master record only has to match one rule. Using Absolute Match, your master record would have to meet all of the rule criteria. The majority of the time it is best to select Priority Match.

If Priority Match was used, then none of the records meet any of the criteria on the list more than the others. In this case, you'll need to experiment with Step 4, reordering or adding additional rules for fields likely to have unique values.

My team needs to review and approve the master, can I accommodate that with Insycle?

Yes, there are several ways to share details and get approval before merging duplicates.

You can manually approve master records and mark them in a CSV, then use Insycle to bulk deduplicate down to those master records. See the Customize Bulk Deduplication Using Exclusions and Pre-Defined Masters article to learn more.

Or, you can run the Merge Duplicates module in Preview Mode, then deliver the preview CSV that Insycle generates. The CSV report that Insycle generates includes your entire merge operation down to individual duplicate groups but does not update your live data. Then your team can approve the merge based on this report, before running Merge Duplicates in Update Mode.

Additionally, team members can review duplicates and manually select the master for each record under Step 4. Review the Manually Merge Duplicates article for more detail.

No, your field data does not need to match exactly. The Similar Match Comparison Rule found in Step 1 looks for values that may be close but with a one-character difference (maybe a typo) and broadens the search.

This search behaves like when Google shows results for a slightly different term, or says “Did you mean...” For example, if an Email of, “huey@coahulldu.co” is found, it could include records with the values “hueyy@coahulldu.co," or "hue.y@coahulldu.co,” as a match.

Do pay close attention when using Similar Match as the looser criteria can incorrectly identify non-duplicates as duplicates. 

Review the Similar Matching best practices for more detail.

When using two or more fields to identify duplicates, records can still be considered matches even if one of the field values is blank. You just need to specify which field(s) allow a blank value.

Under Step 1, configure your matching rules in the Simple tab, then click the Conditions tab.

All the matching fields you included will automatically appear with the Value Required in All Records condition selected. Change the condition to Empty Allowed in Any Record to allow empty values for certain fields. You can also use the At Least One Record with Non-Empty condition to help you determine which is the master record. Make sure at least one field remains required and is a reliable unique identifier to ensure the records are really duplicates.

For example, on the Simple tab, you may have the matching fields: First Name, Last Name, and Phone Number. But on some of your records, the Phone Number field may be empty. Using the Condition Empty Allowed in Any Record or At Least One Record with Non-Empty, all records with the same name, same phone number, and no phone number will be considered duplicates.