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What are the most effective CRM data cleansing strategies for cleaning up thousands of duplicate contacts we just imported from an old spreadsheet?

ChatGPTgpt-61 query10/31/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What are the most effective CRM data cleansing strategies for cleaning up thousands of duplicate contacts we just imported from an old spreadsheet?
1 real search · 1 real-search pass
CRM data cleansing deduplication best practices bulk imported spreadsheet contacts matching merge survivorship rules Salesforce HubSpot data qualityGoogle ↗
OBSERVEDReason

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (1)
Short factOther / navigationalComparisonConsequenceReason100%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT1 real searches · gpt-6
CRM data cleansing deduplication best practices bulk imported spreadsheet contacts matching merge survivorship rules Salesforce HubSpot data quality Google ↗
  1. OpenRefine website · openrefine.org

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
CRM data cleansing deduplication best practices bulk imported spreadsheet contacts matching merge survivorship rules Salesforce HubSpot data quality
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1