Sales & MarketingSimple automationOne job done end to end in a single path: a trigger, then a short fixed sequence of actions across 2–3 apps (a reminder flow, form to CRM, a scheduled report). Simple automations are usually live within days.

Junk leads filtered before they waste a minute

For: Window and door manufacturer

Typical impact

Sales time on junk down 90%

Sales teams at window and door manufacturers waste hours calling bots, resellers and out-of-area form fills. An AI gatekeeper on every lead archives junk with a reason tag and routes only genuine buyers to sales, typically cutting time wasted on junk by about 90%.

Typical results

46%

Of form fills auto-archived as junk

Under 1 hr

First call to genuine buyers

+18%

Deals closed the next quarter

Figures reflect typical results for this kind of automation.

The challenge

Nearly half of the form fills coming through the website and Facebook campaigns were junk: bots, price-scraping resellers, contractors fishing for wholesale rates, and homeowners hundreds of kilometers outside the installation area. Salespeople burned two hours a day dialing dead numbers, and genuine buyers waited at the back of the same queue, cooling with every hour.

Before and after

Before With the automation

Daily rep time on junk leads

−90%
120 minutes
12 minutes

First call to a genuine buyer

−83%
6 hours
1 hours

Deals closed per quarter

+18%
50 deals
59 deals

The automation

We built a Make scenario that intercepts every form fill before it reaches the CRM. An OpenAI classification step scores each lead against signals the sales team defined: service area, message content, disposable email domains, and submission patterns that betray bots. Junk is auto-archived with a reason tag — bot, reseller, out-of-area — so nothing is deleted blind, while genuine buyers land in the sales queue enriched with product interest and urgency, ready to call.

How it works

  1. 01

    Lead lands

    Every form fill from the website and ad campaigns hits the gatekeeper before it reaches the CRM.

  2. 02

    AI scores it

    A classification step checks service area, message content, email domain, and submission patterns that betray bots.

  3. 03

    Junk archived

    Non-buyers are auto-archived with a reason tag — bot, reseller, or out-of-area — so nothing is deleted blind.

  4. 04

    Buyers routed

    Genuine leads enter the sales queue enriched with product interest and urgency, ready to call.

  5. 05

    Sources reviewed

    A weekly report shows which campaigns attract the junk, so ad targeting keeps improving.

Starts from

  • Website form fills
  • Facebook lead ads

Delivers

  • Junk archived with reason
  • Genuine buyers to sales queue
  • Junk source report

The impact

Sales time spent on junk leads typically drops about 90%, from roughly two hours per rep per day to minutes reviewing the archive log. First-call times for genuine buyers fall from about six hours to under one, and the same headcount can close around 18% more deals within a quarter.

Questions about this automation

How does the AI tell a junk lead from a real buyer?

Before a lead reaches the CRM, an OpenAI classification step checks it against signals the sales team defined: whether the address is inside the installation area, what the message says, disposable email domains and submission patterns typical of bots. Each lead gets a score and a reason tag such as bot, reseller or out-of-area.

Are filtered leads deleted?

No. Junk leads are archived with their reason tag, and the sales team can scan the archive log in a few minutes a day. If a real buyer was filtered by mistake, one click moves the lead into the sales queue, and the case helps the team refine the filtering rules.

Which lead sources does the gatekeeper cover?

It sits in front of every source that feeds the CRM, typically website forms and Facebook lead ads, and runs as a Make scenario. Genuine buyers arrive in the sales queue with product interest and urgency attached, and a weekly report shows which campaigns send the most junk.

Sales & Marketing

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