Data Readiness
setupA High / Medium / Low verdict on an uploaded lead file, produced before import from format validity, completeness, duplicates and business context.
In practice
The most expensive moment in a bad import is the hour afterwards, when reps start dialling. Readiness is what you can learn before that point, and it is nearly free. Leadkaun profiles a sample of the file and answers plain questions: how many rows carry a valid Indian mobile, how many companies look like businesses rather than individuals, how many rows duplicate each other, which fields are systematically missing, and whether this is a B2B or B2C dataset at all. None of it needs a model. It is arithmetic on formats and completeness, and a rule you can read is easier to trust than one you cannot. The result is reported as a band rather than a number, because a band is a decision and a number is a debate. The point is not to reject files; it is to know what you are importing while you still have the option not to.
- 1.
A file where a third of the phone numbers fail Indian mobile validation reads Low. The problem is the file, not rep effort.
- 2.
A clean export from a trade portal usually reads High and can be imported as-is.
→Check it yourself
How to tell where you actually stand.
Import problems are cheap to find before an import and expensive after.
- 01Take the file you would upload and check three things: duplicate numbers, missing sources, and unusable phone formats.
- 02Count how many rows fail any of the three.
- 03That is the share of your import that will produce noise instead of leads.
See also
How Leadkaun uses this
Intake IntelligenceNeighbouring terms
Ready when you are
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