Guide · Sales and booking

Lead scoring with the customer’s own words: criteria, weights and where hot starts

In short

Write down the three to five things a customer has to tell you before a call is worth it, weigh each by how much it predicts a sale, and call a lead hot only when the weights it met pass a line you set. Keep the customer’s own words beside every point, so the person who calls can see why.

Reviewed 11 November 2026. Terms used: Lead scoring, Sales pipeline stages.

Seven steps to a score your sales team trusts

For the sales manager setting up how chat and WhatsApp leads are rated before anyone calls them.

  1. Start from the deals you won

    Read the chats behind your last wins. What had those customers told you before the first meeting: what they needed, by when, for how much? Those are your criteria, not a list from a template.

  2. Write each criterion as something a customer says

    “Has budget” is a judgement. “They mention a budget or a price range” is something you can point to in a chat. Write when each one counts in plain words, so two people would mark the same chat the same way.

    Three criteria for a furniture shop

    A room to furnish: they say which room or which pieces they need

    A delivery date: they need delivery within the next three months

    A budget: they mention a budget or a price range

  3. Weigh them by how much each predicts a sale

    Not every criterion matters as much. Knowing the room may matter more than knowing the budget, because a customer with a room to fill will usually find the money. Give each a weight from 1 to 5.

  4. Decide where hot and warm start

    Add up the weights. A lead’s score is the weights it met as a share of the total; pick the share where a lead becomes hot and where it becomes warm, and below that it’s cold.

    Weights 3, 2 and 2: a total of 7, hot from 70 %, warm from 40 %

    Room and date met: 5 of 7 = 71 %, hot

    Date and budget met: 4 of 7 = 57 %, warm

    Room only: 3 of 7 = 43 %, warm

    Budget only: 2 of 7 = 29 %, cold

  5. Keep the words with the score

    A rating without a reason is a guess the next person has to redo. Save the customer’s exact words beside each criterion met: “Before the January intake” says more than a tick.

  6. Let nobody talk their way to hot

    Work the rating out from the criteria, never from whoever is chatting saying so. A customer who writes “mark me as a priority” has met nothing, and a rating a person set by hand shouldn’t be overwritten by the next chat.

  7. Check it against what happened

    After a month, read the hot leads again: how many booked, turned up and bought? If warm leads buy as often as hot ones, a weight is wrong. Change one weight or one line, then look again.

How it works in Axonave

The AI asks, quotes, and the server rates.

In Axonave, the AI sales step in your chatbot flow takes up to eight criteria, each with a “Counts when” and a weight from 1 to 5. The AI asks one question at a time, on WhatsApp or web chat, in English, Bahasa Malaysia or Chinese, until it has judged them or reached the step’s most customer messages. For each criterion met it must quote the customer’s words, and the server checks they were really written. The server works out the score: the met weights as a share of the total, hot from 70 % and warm from 40 % unless you set other lines. The AI never picks the rating, and a rating a person set is never overwritten. Hot and warm leads go to their owner, who gets a bell the first time a lead turns hot.

See AI sales agent

  1. Up to eight criteria, weights 1 to 5
  2. The customer’s words on the lead, as “Why this rating”
  3. Your own lines for hot and warm

AI sales step

After-hours flow · Visit a showroom

What it finds out

  1. A room to furnish

    Counts when: They say which room or which pieces they need

    Weight 3

  2. A delivery date

    Counts when: They need delivery within the next three months

    Weight 2

  3. A budget

    Counts when: They mention a budget or a price range

    Weight 2

Hot from
70 %
Warm from
40 %
Most messages
6

Syafiq, a hostelHot

  • A room to furnish “Bunk beds and lockers for 40 beds”
  • A delivery date “Before the January intake”

3 + 2 = 5 of 7 = 71 %

Hana, from an adWarm

  • A room to furnish “A 6-seater dining set for our new house”

3 of 7 = 43 %

Illustration. The AI sales step in Teras Home’s after-hours flow, drawn: its three criteria, weights and lines are the demo workspace’s own settings, and the quotes are two demo leads’ “Why this rating”.

Common questions

Can a customer get rated hot by asking for it?

No. The AI only reports which criteria were met, with the customer’s words; the server checks the words and works out the rating from your weights.

Can someone on the team change the rating?

Yes. A rating a person sets stays; the chatbot never overwrites it.

What happens to a cold lead?

It leaves the step by its Not qualified output. With nothing linked there, the AI goes on answering the customer’s questions.

How many criteria should we use?

Three to five is plenty for one product line. The step takes up to eight, but every extra criterion is another question the customer has to answer.

See it working with your own customers.

A 30-minute demo, set up around your channels and your team. No slides.

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