Sales & Conversion· 3 min read· By The SpideyChat Team

Handling Enquiries That Are Not a Fit

The wrong enquiry costs more than the right one when nobody says so early. A checklist for disqualifying well.


A salesperson spends four weeks on an enquiry from a business a tenth of the size of their smallest customer. Three calls, a proposal and a demo.

Everybody knew by the second call. Nobody said so, because saying so felt like giving up on a live opportunity in a month that needed numbers.

The deal dies at the price. The prospect has wasted a month too, and the four weeks would have covered two genuinely qualified enquiries that were handled hurriedly instead.

1. Decide what a bad fit actually is

Written down, specifically. Size, sector, use case, geography, budget, timescale. Without a definition, every enquiry is arguably worth pursuing and nothing is ever declined.

2. Publish it plainly

Who this suits, minimum sizes and what it does not do. Published criteria filter continuously and for free, which is better than filtering by conversation.

3. Disqualify in the first conversation

The cost of a wrong fit rises steeply with time invested. Everything that made it obvious in week four was usually visible in the first ten minutes.

4. Ask the disqualifying question early

The one that would end it. Teams instinctively leave it until last, which is exactly backwards, and it is usually about scale or timescale.

5. Say it plainly and kindly

I do not think we are the right fit, and here is why. People respect this considerably and the honesty is remembered long after the decline.

6. Point them somewhere better

A competitor, a cheaper product or a different approach. This is what turns a decline into goodwill, and those referrals come back more often than anybody expects.

7. Distinguish not now from not ever

A business too small today may be right in two years. Recording which of the two it is, and keeping a light touch, is worth far more than a hard no.

8. Keep the door open with something useful

A resource, a reason to return and a clear statement of what would change the answer. People come back when told what to come back with.

9. Do not let a bad fit through because of a quiet month

The enquiry that closes against your better judgement becomes a demanding customer, a support burden and eventually a poor reference.

10. Record why each one was disqualified

A pattern of one particular bad fit means something upstream is wrong, usually a campaign or a page attracting the wrong audience.

11. Use the data to fix the source

Bad fit volume is a marketing signal rather than a sales problem, and it is the cheapest optimisation available in most funnels.

12. Qualify before a person is involved

A few conversational questions filter most of it without consuming anybody's time, and they are answered willingly by somebody who has just been helped.

13. Keep the handling consistent across the team

Different people declining differently produces inconsistent experiences and inconsistent data, which is the ground in multi branch agencies and consistent enquiry handling.

14. Let the assistant handle the obvious cases

An assistant that establishes scale, timescale and use case, declines the clear mismatches politely with a referral, and passes on only the enquiries worth a conversation gives a sales team back the weeks it was spending on deals everybody knew would not close. The same screening appears in ai assistant venue enquiries, and the follow up discipline for the ones worth keeping in following up leads that went quiet. See features, start at try, and the sector view sits under b2b.

Frequently asked questions

How should a sales team disqualify an enquiry?
Quickly, honestly and with a reason, ideally pointing the person somewhere more suitable, because the cost of a slow decline falls on both parties and earns nothing.
Does disqualifying lose revenue?
It protects it, since the time spent on enquiries that will never close is time not spent on those that will, and unsuitable customers who do buy tend to be the least profitable.
What should be published to prevent bad fit enquiries?
Who the product suits, minimum sizes, what it does not do and typical pricing, all of which filter continuously without anybody being involved.

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