Greenville Nissan

Greenville Nissan sold 8 to 10 more cars in the first month with TECOBI

Greenville Nissan made TECOBI its main line of communication across sales, service, and BDC. The team saw a faster response rate, better engagement, and an estimated 8 to 10 sales attributed to TECOBI in the first month.

Customer story video

Greenville Nissan customer story video

Chad Miller, general sales manager at Greenville Nissan, explains how TECOBI became the dealership’s main line of communication, improved response rates, and helped attribute about 8 to 10 sales in the first month.

The challenge

One place for customer communication

Greenville Nissan came to TECOBI looking for a better way to communicate with customers. Chad Miller, the dealership’s general sales manager, said TECOBI quickly became the main source of communication across new customers, previous customers, service customers, and the dealership’s service-to-sales exchange process. The team still uses CDK, but TECOBI became the primary communication layer.

  • Communication was spread across multiple customer types and teams.
  • The dealership wanted stronger engagement from internet and service-driven opportunities.
  • Traditional phone-heavy follow-up was not delivering the response the team wanted.

The TECOBI approach

Text-first follow-up with human handoff

The dealership used TECOBI to coordinate between BDC and sales, with the BDC handling the first response and sales sending initial vehicle videos to engaged shoppers. Chad said the response rate was immediate and that customers were engaging more quickly once TECOBI was in place. He also noted that TECOBI’s AI responses stayed relevant because the conversation and customer context were all in one system.

  • BDC and sales worked together inside TECOBI.
  • Sales sent vehicle videos as part of the response flow.
  • AI responses stayed contextually correct because the conversation lived in one place.

Team workflow

Better focus for the sales team

Greenville Nissan also saw better team productivity. Chad said the sales staff enjoyed the process more because they could focus on engaged leads instead of spending the day farming the CRM with cold calls. He described the shift as moving away from old-school phone-call pressure and toward conversations with customers who were already raising their hands for help.

  • Reduced reliance on low-yield call volume.
  • Focused staff on customers who were already engaged.
  • Kept phone calls available as a backup when text and email did not work.

Business impact

Early sales impact

Chad said the dealership saw about 8 to 10 sales attributed to TECOBI right away, within the first month. He also said the team saw a whole lot more response rate and more customer engagement almost immediately. For Greenville Nissan, the value was not just software automation; it was getting the right conversations to the right people faster.

  • About 8 to 10 sales attributed to TECOBI in the first month.
  • Immediate lift in customer response and engagement.
  • Faster handoff from conversation to salesperson follow-up.

Support and adoption

Training that sticks

Chad called out TECOBI’s support team for using the platform themselves, responding quickly when questions came up, and turning feedback into product improvements. He also said the initial training and short follow-up videos made adoption easier, especially for repeat mistakes. Greenville Nissan has continued expanding into more TECOBI functionality, including Facebook.

  • Support feels product-native because the team uses TECOBI every day.
  • Short training videos help reinforce process without wasting time.
  • Customer feedback can turn into product updates quickly.

Put the pattern to work

Turn customer follow-up into an operating system, not another task list.

The stores above did not win by asking people to click more reminders. They created a structure where AI maintains coverage, managers retain visibility, and salespeople step in when a customer is ready for a real conversation.

More customer stories
In a TECOBI walkthrough
  • Map where follow-up is falling behind today
  • Identify which tasks AI should own first
  • Build a handoff model that keeps salespeople selling

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