Lead Comparison And Batch List
| Lead | Company | Score | Status | Action | |
|---|---|---|---|---|---|
| No saved comparison leads yet. | |||||
Duplicate checking uses the email address stored in your browser for this batch.
What Is Lead Scoring?
Lead scoring is a structured way to rank prospects by sales potential. It combines information about a person or company with observed behavior. A strong model gives sales teams a consistent method for choosing priorities. Instead of treating every inquiry equally, teams can focus on leads showing better fit and stronger intent.
How Lead Scoring Works
A practical score usually combines profile fit, engagement, buying intent, and source quality. Profile fit measures whether a lead resembles an ideal customer. Engagement measures actions such as site visits, email clicks, downloads, or webinars. Buying intent gives more weight to actions close to a purchase, including demo requests, quotation requests, plan comparisons, or checkout activity. Negative signals reduce the score when a lead is unlikely to convert.
Using Weights And Thresholds
Weights control how much each scoring category influences the result. A business selling expensive software may emphasize decision authority and purchase intent. A subscription service may place more weight on trial activity and recent engagement. Thresholds then translate the numeric result into labels such as cold, warm, qualified, hot, or sales ready. These labels make the score easier for sales representatives to use during daily work.
Improving Your Lead Model
Lead scoring should be reviewed regularly because customer behavior changes. Compare scores with actual opportunities, wins, and losses. Reduce points for signals that do not predict revenue. Increase points for behaviors that repeatedly appear before successful sales. Lead decay can also prevent old activity from keeping a stale prospect artificially high. Custom criteria are useful when your business has special qualification rules. Keep the model understandable so teams trust the recommendations. Strong scoring rules keep sales teams focused and efficient.
Example Scoring Table
| Signal | Example Points | Reason |
|---|---|---|
| Decision authority | +22 | Indicates stronger purchasing influence. |
| Demo request | High engagement | Shows active product evaluation. |
| Requested quotation | +18 intent points | Suggests near-term buying interest. |
| Competitor | -30 | Usually lowers sales priority. |
| Spam submission | -50 | Strong disqualification signal. |
Frequently Asked Questions
What is a good lead score?
A good score depends on your thresholds. This tool treats 70 or higher as hot.
Can I change the scoring weights?
Yes. Profile fit, engagement, intent, source, and negative weights are adjustable.
What is lead decay?
Lead decay gradually reduces scores when a prospect stays inactive for a long period.
How are negative signals handled?
Negative signals create deductions. Serious signals can also mark a lead disqualified.
Can I score both B2B and B2C leads?
Yes. The mode selector lets you label the scoring context for either approach.
Can I compare multiple leads?
Yes. Add calculated leads to the comparison list stored in your browser.
Can results be downloaded?
Yes. Individual and batch results can be exported as CSV or PDF files.