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.