myautoIQ
myautoIQ describes its product as AI technology that revives unresponsive leads in a dealership’s CRM and works them without requiring dealership staff involvement. Its site describes a process in three stages: foundation, execution and optimization.
myautoIQ: Unsold lead revival
It publishes customer stories and says it works with dealerships across North America.
| Product or service | Function |
|---|---|
| Unsold lead revival | AI outreach to leads a dealership has stopped working. |
| Foundation, Execution, Optimization | The stated three stages of the service. |
| Customer stories | Dealer case studies. |
myautoIQ: product details
The myautoIQ home page says its AI agents reactivate unresponsive and forgotten leads with fully automated follow-up that needs no staff effort, using live data, offers, inventory highlights and dealer- and brand-specific content matched to each lead. It claims 5 to 15 percent more monthly sales with no added lead spend, and a customer quote from a Honda store credits it with 10 to 20 sales a month.
Its pitch rests on a Customer Data Platform foundation and a dynamic content engine rather than scripted chatbot replies.
The product runs in three stages: foundation, which cleans and enhances data and prepares content, execution, which sends personalized communications through always-on agents, and optimization, which tracks outcomes and tunes the strategy. It offers a complimentary long-term lead follow-up analysis report.
Those results are company and customer claims, so a store should ask for the method behind the 5 to 15 percent figure and a reference at a store of similar size and brand.
Its about page says two former colleagues, Vikrant Pathak and Rohit Sharma, founded it in 2018 to bring the personalization consumers expect from streaming and online shopping to car dealerships, and that it focuses on long-term lead follow-up. It says leading franchise and independent dealers across more than 20 brands use it and stresses a no-touch approach.
A dealer should ask how it connects to its CRM, how consent and opt-outs are handled, and how messages are labeled.
The company says it has been tested in rural and small-town stores as well as large groups, and states that ease of use is central, so a store should ask what work its own staff must still do, such as approving offers, and who answers a customer who replies to an automated message. Watch for add-on fees.