A lead can be a good fit and completely unresponsive, or a poor fit and extremely engaged. Those are different facts and they deserve different numbers. Below is what each of the two scores is made of — including the full point table, which is not usually something a product prints.
| Fit scoreShould we be talking to this business at all? | AI, ₹2.00 |
|---|---|
| Behaviour scoreWhat has this lead actually done? | Points, free |
A single blended number hides which of the two moved, which is exactly the thing you need to know before deciding what to do next.
You describe your company and what you sell, once. Each lead is judged against that description and segmented, with a suggested opening line written for that specific business.
A business listing: what the business is, where it is, its category and public signals like rating. That is a genuinely useful basis for “is this the kind of company that buys what I sell” and a useless one for “do they have budget this quarter”.
Its real job is putting the fifty most plausible businesses at the top of five hundred, so your first two hundred messages go somewhere sensible. It is not a verdict on any individual company.
Points, added as things happen, across every channel. No model, no training data, nothing to be surprised by — you can audit a lead’s score by reading its history and doing the arithmetic.
The shape of the table is its whole argument: a reply is worth fifteen times a send, because a reply is the only thing on the list the lead had to choose to do.
| Meeting booked | +50 |
|---|---|
| Meeting completed | +30 |
| Voice call — said they were interested | +25 |
| Marked a hot lead | +20 |
| Replied to email | +15 |
| Replied to SMS | +15 |
| Replied on WhatsApp | +15 |
| Clicked an email link | +10 |
| Voice call completed | +10 |
| Opened an email | +5 |
| Read a WhatsApp message | +5 |
| SMS delivered | +2 |
| WhatsApp delivered | +2 |
| Voice call initiated | +2 |
| Email sent | +1 |
| SMS sent | +1 |
| WhatsApp sent | +1 |
| Meeting no-show | −5 |
| Email bounced | −10 |
| Unsubscribed | −50 |
Three events subtract, and they are the ones most scoring models leave out because they make the numbers look worse.
Which is the honest summary of lead scoring generally: it is a good way to decide what order to work a list in, and a bad way to decide whether to work a lead at all.