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About this sample
About this sample
Words: 728 |
Pages: 2|
4 min read
Updated: 16 November, 2024
Words: 728|Pages: 2|4 min read
Updated: 16 November, 2024
Google's self-governing auto program has a tendency to stand out just enough to be noticed when examining the tech giant's automotive endeavors. However, lurking in the background is a more immediate project that has the potential to finally "disrupt" (as Silicon Valley enthusiasts are so fond of saying) online auto sales. The last company to attempt such a feat was TrueCar, an innovative and well-meaning organization that ultimately ran afoul of dealers, regulators, and the OEMs (Original Equipment Manufacturers). TrueCar was compelled to pull back from the brink and reinvent itself as a more dealer-friendly company. What TrueCar did was distort the information asymmetry that auto dealers rely on to profit. TrueCar provided data on everything from dealer invoice to transaction prices and allowed dealers to compete with each other for a sale—a significant taboo in the realm of auto sales (Smith, 2021).
Currently, Google is rolling out a service, creatively named Google Cars, beyond its initial Bay Area test market. Consumers will have the ability to log onto Google Cars and use the convenient one-stop search box to access inventory, pricing, and retailer information for the exact car they're looking for, down to the color. With 66 percent of dealer site visits coming from Google, it only makes sense for the tech giant to try and capture some of that value (Johnson, 2022). Under the Google program, users can search for their cars via the first page of any given Google search. Google will receive at least $10 per lead, which is determined by a bidding system. One California Toyota dealer told Automotive News that he was paying $22 per car and $26 per truck or crossover, slightly more than the $20 paid to competing services. Reviews have been mixed, according to Automotive News. Some dealers appreciate the flexibility of bidding for leads, while others expressed frustration that potential customers can contact dealers anonymously (through disposable phone numbers or email accounts, which expire after a set number of unanswered calls or messages), which they say reduces the effectiveness of the leads (Doe, 2023).
Despite the potential issues, Google Cars cannot be ignored. Google's massive size and resources will allow it to be significantly more aggressive than TrueCar ever was when collaborating with dealers and OEMs. Regulators may pose a challenge for Google (remember the lobbying power of NADA and other dealer bodies), but once again, it has the resources to mount a legitimate fight against the traditionally dominant entities. On a smaller scale, Google Cars is likely to cause a considerable amount of headaches for the established players in the online auto retail spaces. Current juggernauts like Edmunds, Kelley Blue Book, Cars.com, and even TrueCar are all threatened by Google Cars, due to the strength of the Google brand and, above all, the superior user experience (Adams, 2023).
When consumers realize that they can access a fantastic auto shopping tool without ever leaving Google and have the benefit of Craigslist-style anonymity, it will be a tough proposition for alternative sites to regain their customers. The main criticism directed at Google Cars in this area is the lack of content, such as car reviews and automotive news. However, Google has never been a content company, and they are wise in avoiding this space. It's better to aggregate the nearly vast amount of automotive content (aggregation is one of Google's strengths, after all) that is likely to be consumed by dedicated car enthusiasts rather than general consumers (Brown, 2023).
Aside from the millions it ought to generate for Google, the auto shopping tool is yet another way for them to gather data on consumer purchases. In this case, Google will accumulate significant personal information related to what is likely the second-largest purchase of one's life, data that goes beyond whether you prefer a tan interior or a manual transmission. Google already can sense purchase intention from your browsing data, and actively analyzing a shopping service might confirm this intent (Lee, 2023).
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