Lead enrichment and scoring from a spreadsheet
Upload your CSV of leads — TableMarker enriches each row with industry, score and a personalized opener.
The problem
Sales reps waste hours cleaning and qualifying leads in spreadsheets. Enrichment vendors are expensive and limited to firmographics. ChatGPT helps with single emails but doesn’t process a CSV at scale.
How TableMarker solves it
TableMarker enriches a leads spreadsheet row by row using the columns you already have. One prompt scores the lead, another infers industry, a third drafts a personalized opener — all in new columns.
Ready-made prompts
Lead scoring
Score the lead from 1 to 5 using Company, Job Title, Message. Score 5 if the prospect names a concrete project and the title is decision-maker level; score 1 for vague inbound queries.
New columns: Lead Score
Industry inference
Infer the company industry using Company and Website columns. Use one of: SaaS, retail, manufacturing, healthcare, fintech, logistics, education, other.
New columns: Industry
Personalized opener
Write a 2-sentence outreach opener using Company, Job Title and Industry. Reference one specific industry pain. Keep tone professional and direct.
New columns: Opener
FAQ
Does this replace a CRM enrichment tool?
No — TableMarker is for spreadsheet-first work: clean exports before they hit the CRM, score one-off lead lists, prep for ABM campaigns.
Can I plug results back into HubSpot or Salesforce?
Yes — download the enriched file and import it back into the CRM as a regular CSV mapping.
How accurate is the scoring?
Quality depends on the model and on your prompt. We recommend running 50–100 rows first, reviewing edge cases and refining the rules in the prompt.
Related use cases
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