Position One, strategic marketing and consulting

Field note 06 · AI integrations: lead follow-up

AI lead follow-up lifted a Buick GMC dealer’s conversion rate 18%

Published by Impel, in an undated case study. Not a Position One client.

Field notes are not Position One client work. They are our reading of results other companies published, sourced and linked. The numbers belong to them; the analysis, and how we apply it, is ours.

Business
Elk Grove Buick GMC, a family-owned dealership in Elk Grove, California.
Integration
Impel Sales AI, which engages every internet lead by email and text, answers inventory, financing and trade-in questions, books appointments in the CRM, and routes ready buyers to the sales staff.
Reported results
19% more live calls to customers within a few weeks; a 22% increase in calls per lead; an 18% increase in lead conversion rate and showroom appointment set rate; more than $1 million in gross sales influenced in 12 months.
Reported by
Impel customer case study (undated).

Why speed matters before the story starts

The foundational study on lead response is a Harvard Business Review audit of 2,241 U.S. companies, each sent a web test lead. Among companies that responded within 30 days, the average response time was 42 hours. Twenty-three percent never responded at all. Only 37% replied within an hour. Companies that made contact within an hour were nearly seven times as likely to qualify the lead as those that waited even an hour longer, and more than 60 times as likely as companies that waited 24 hours or more. The study is from 2011, so read the multiples as a direction rather than a benchmark.

The situation

Internet leads arrive around the clock, and a sales floor can’t follow up with every one instantly and keep following up for days. Leads that got a slow first reply, or no second one, went cold.

What the dealership did

Sales AI took over the majority of email and text communication on new leads: it answers questions about inventory, financing and trade-ins, keeps the conversation going, schedules appointments in the CRM, and hands the customer to a salesperson once they’re ready to talk. General Manager Yama Popal says it “has ultimately given us a competitive edge.”

What happened

Impel reports 19% more live calls to customers within a few weeks, a 22% increase in the total number of calls per lead, an 18% increase in lead conversion rate and in showroom appointment set rate, and more than $1 million in gross vehicle sales influenced over 12 months. “Influenced” is an attribution measure (the AI touched the lead), not incremental profit, and the page is undated with no control group.

Why it worked

Instant, persistent, two-way follow-up raised the contact rate, and the AI handed warm shoppers to humans for the phone call, which is why live calls and calls per lead rose alongside appointments. The people didn’t get replaced. They got handed better conversations.

Inside the sales team

The same principle applies to the seller’s own time. Lumen Technologies, a telecom with 26,000 employees, reports that research for customer outreach took a seller about four hours and now takes 15 minutes with Microsoft Copilot for Sales pulling CRM records, email and meeting history into a pre-call brief. Lumen values four hours back per seller per week at $50 million in revenue over 12 months, a modeled projection rather than booked revenue, but a useful way to think about the value of prep time in a team of any size.

How we apply this at Position One

Speed-to-lead is the first metric we fix. We connect the website, ad platforms, CRM and phones so every lead gets an email, or a text when they have agreed to texts, within seconds and a next step within the hour; we build AI assistants that qualify and book while the team is on the floor; and we design the sales cycle so no lead sits without an owner. For the team itself, we build internal AI tools for call prep, proposals and follow-up, trained on your own materials.

Sources

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