Automatically import calls into NEXT
Once your Gong account is connected, NEXT can automatically import new Gong calls into one of your teamspaces.
When setting up Auto-import, you can define a filter so only calls matching specific criteria are imported. This is useful for bringing in only certain segments, industries, regions, or opportunities.
Using filters
The filter is a single text field that lets you describe which calls to import using Gong and Salesforce call data. You can filter on any field from Gong call metadata or linked Salesforce data (e.g., Account, Opportunity).
Examples of field names you might use:
durationdirectionSalesforce.Account.Segment_RevOps__cSalesforce.Account.IndustrySalesforce.Opportunity.StageNameSalesforce.Opportunity.ARR__c
Basic examples
Only import calls for Enterprise accounts
Salesforce.Account.Segment_RevOps__c:Enterprise
Import calls for Enterprise accounts in AI, Staffing, or NGO industries
Salesforce.Account.Segment_RevOps__c:Enterprise AND (Salesforce.Account.Industry:AI OR Salesforce.Account.Industry:Staffing)
Import calls longer than 15 minutes
duration:>=900
Import calls with ARR over 100k and stage is Evaluation or Pre-Qualification
Salesforce.Opportunity.ARR__c:>100000 AND (Salesforce.Opportunity.StageName:Evaluation OR Salesforce.Opportunity.StageName:"Pre-Qualification")
Tips for writing filters
Field names must match exactly what appears in your Gong/Salesforce data
AND narrows results (both conditions must match)
OR broadens results (either condition can match)
Use parentheses to group conditions:
(condition1 AND condition2) OR condition3
Use
>>=<<=for numbers and datesUse
*as a wildcard:Salesforce.Account.RevOps_Territory_Name__c:EMEA*
For the full search syntax, see the Lucene Query Syntax documentation.
Sampling Calls
When connecting your Gong account, you may find that you have a very large number of calls. Importing all of them can be expensive and often unnecessary, especially if you just want to analyze a representative set. That’s why we offer sampling. Sampling allows you to choose what percentage of your Gong calls to bring into our system - for example, 5%, 20%, or 50%. This way, you can keep costs under control while still working with enough calls to get meaningful insights.
The way sampling works is by selecting calls at random rather than just taking the first calls in the list. This ensures that your imported calls represent the whole range of conversations across days, teams, and topics, rather than being clustered in one period. In the background, each call is given a unique identifier, and we use that to decide whether it falls into the percentage you selected. The end result: if you choose 10%, we will consistently import roughly one out of every ten calls, spread evenly across your Gong data.
One important thing to know: if you change the sampling percentage later and re-run the import from the same time period, you may see different calls appear. For example, lowering from 10% to 7% doesn’t just mean you get fewer calls - it can also mean you get a different set of calls. In most cases, this results in even more calls overall than before. This is not an error but simply how random sampling works. Keep this in mind when adjusting your percentage so you can plan your imports accordingly.