Sift Data cleaning for CRM imports

Lead scoring

How to score and qualify a lead list (without a black box)

To score a lead list in Sift: open your CSV, go to the Score tab, start from a persona template (B2B SaaS buyer, event lead, or named accounts) or build your own rules, and Sift writes a Lead Score column plus a plain-English reason for every row. Every number is a rule you set, so you can see and defend it. Then extract the score range you want. It runs entirely in your browser, so the list is never uploaded.

Score your list in Sift →

What lead scoring actually needs to be useful

Most "lead scoring" is either a spreadsheet of nested IF formulas nobody can maintain, or an AI black box that spits out a number you cannot explain to your sales team. Neither survives a "why is this lead a 90?" question. Useful scoring has three properties:

Sift's Score tab is built to all three.

Step by step

  1. Load your list (a CSV or Excel file of contacts or leads) into Sift.
  2. Open the Score tab and pick a template: B2B SaaS buyer (senior + revenue/ops roles at software companies), Event / conference lead (recent signups with a decision-making title), or Named / enterprise accounts (your target-account list weighted by seniority). Or build rules from scratch.
  3. Adjust the rules: point each rule at the right column, tune the keywords, seniority weights, industries, recency window, or account list, and set the points. A live preview shows the score distribution and your top leads with their reasons.
  4. Apply scoring. Sift adds a Lead Score column and a Score reasons column to every row.
  5. Extract by score to keep only the range you want, then export the shortlist.
  6. Save the persona to replay the same qualification on next month's list in one click.

The rule types you can combine

Related guides