Automate the manual work in DataCrush

FullSpec maps how DataCrush fits into your day-to-day, finds the repetitive work worth automating, and gives you a clear plan to connect it with the rest of your tools.

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DataCrush by the numbers

Insights from real process mapping sessions that involve DataCrush.

No processes mapped yet using DataCrush. Map a process that uses DataCrush to see automation data here.

Map a DataCrush automation

Top 5 DataCrush friction points when done manually

Reconciling DataCrush records with spreadsheets

You spend hours comparing DataCrush exports against your local spreadsheets to find which customer records have changed or been duplicated.

78% report this

Manual DataCrush data validation before import

Before loading new customer lists into DataCrush, you have to manually check each row for formatting errors, missing fields, and duplicate entries.

71% report this

Updating DataCrush when external sources change

When your vendor database or partner system updates their customer information, you manually re-export from DataCrush and merge the changes back in.

63% report this

Extracting specific DataCrush segments for campaigns

To run a targeted email or sales campaign, you manually filter and export subsets of your DataCrush customer data into separate files.

54% report this

Fixing DataCrush field mapping after imports

When you import a new data source into DataCrush, fields often land in the wrong columns and you manually reassign and clean up each one.

29% report this

Data points based on anonymized data from FullSpec mapping sessions

What you can automate in DataCrush

Browse popular DataCrush automations FullSpec can map for you. Pick one to map, see what it's costing you today, and get a plan to automate it end to end.