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    Why is my closing ratio going up while my leads go down?

    Why is my closing ratio going up while my leads go down?

    Your closing ratio is climbing while your lead count falls because the shoppers who still fill out a form are further down the road than they used to be. AI answered their early questions before they ever reached you. You are getting fewer leads and better ones, so judge the store on appointments, shows and sold units instead of lead count.

    Last month my internet manager walked into my office a little rattled. Form fills were down, and the number on the report looked like a mistake. Then I asked him what our internet closing ratio was. It was the best it had been all year. Fewer leads, more deals, same floor. That is the pattern a lot of GMs are going to see this quarter, and it is easy to read it wrong.

    Why is my closing ratio going up when my leads are going down?

    Because the leads that disappeared were mostly the ones that were never going to buy. Picture a store that logs 400 internet leads and sells 36 of them. That is a 9 percent close. Now the store logs 300 leads and still sells 36. That is 12 percent, and nobody on your team got better at closing. The top of the funnel got thinner, and the bottom stayed put.

    The shopper who used to fill out three forms to compare prices now asks an AI engine to do the comparing. By the time that person submits a form, they have already narrowed the list, read about your fees and picked a store. They are not browsing anymore.

    Is that a good sign or a warning sign?

    It can be both, and the way to tell is to check what happened to sold units. If units held or grew while leads fell, your funnel got more efficient. If units fell right along with leads, you are losing shoppers somewhere upstream, and a high closing ratio is hiding it. A 12 percent close on 300 leads is a bad trade if you used to sell 50 cars.

    I look at one number first: total internet-sourced deals against the same month last year. Not leads and not ratio. If that line is flat or up, I stop worrying about the lead count. If it is down, the ratio is a distraction and I go looking for the missing shoppers.

    What should a GM track instead of lead count?

    Lead count was always a vanity number. It counts every form, every bot, every tire-kicker and every third-party duplicate. Here is what I put on the scoreboard now:

    • Appointments set and appointments shown, by source
    • Internet-sourced sold units, month over month and year over year
    • Walk-ins who say they researched on ChatGPT, Google or Gemini first
    • Cost per sold unit from each third-party source

    That last one stings. When leads fall but the third-party invoice stays the same, your cost per sold car just went up, and the vendor will not mention it in the quarterly review.

    How do I find out if AI is the reason?

    Ask your people. Every customer who walks in gets one question: "Where did you start looking?" Write the answers down for two weeks. At my store the answers shifted from "Google" to "I asked ChatGPT" faster than any report showed it. The CRM can't capture that conversation because it happened somewhere you can't see. I wrote about the same pattern in form fills down, floor steady, and about the five fixable causes of a bad month in why internet leads are down.

    What does this mean for how I run the store?

    Two things. First, protect the leads you still get. If fewer shoppers reach you and each one is closer to buying, a slow response or a canned reply costs you more than it used to. Speed to the first real answer matters more now than lead volume ever did.

    Second, stop treating the traffic chart as the verdict. Organic sessions are slipping everywhere, and I covered how to read that in website traffic is down, and why that may not be bad news. The shoppers are still out there. The research moved to a place your analytics can't see, and the only way back into that conversation is to be the store the engine names. The mechanics are laid out in how AI decides which dealership to recommend, and you can browse everything else on the blog.

    If you want to see what AI is telling your shoppers about your store, run the free check at aeowhisperer.com.

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