Revolutionize Your Car Dealership Advertising with Deep Learning

Table of Contents

1. Introduction
2. Deep Learning Solution for Car Dealerships
3. Our Data Extraction Process
4. Comparison of Key Data Metrics
5. Increasing Phone Call Leads and Sales
6. Case Study: Example of the Plug-in Working
7. Metrics for Improved Performance
8. Our Targeting Process
9. Retargeting and Conversion Maximization
10. Campaign Example: Facebook Ad for a BMW Dealership
11. Leveraging Data from CRM
12. Attribution of Sales to Advertising Channels
13. Optimizing Key Performance Indicators
14. 30-Day Free Trial Offer

Deep Learning Solution for Car Dealerships

In this article, we will explore the deep learning solution that we offer to car dealerships for their advertising needs. Our innovative approach involves extracting data from various advertising sources used by dealerships and comparing it to our key data metrics. By doing so, we are able to identify underperforming key performance indicators and provide suggestions and changes to increase the number of phone call leads and sales for the dealership without having to increase their existing ad spend.

Introduction

Car dealerships invest significant resources in advertising to attract customers and drive sales. However, it can be challenging to determine the effectiveness of their advertising campaigns and identify opportunities for improvement. This is where our deep learning solution comes in. By leveraging advanced data analysis techniques, we help dealerships optimize their advertising efforts and maximize their return on investment.

Deep Learning Solution for Car Dealerships

Our deep learning solution is designed specifically for car dealerships. It involves a comprehensive process that starts with extracting data from all the advertising sources used by the dealership. This can include platforms such as Google Ads, Facebook Ads, Yahoo, CarGurus, and more. By gathering data from these sources, we create a holistic view of the dealership's advertising performance.

Our Data Extraction Process

To extract data from these advertising sources, we utilize advanced data extraction techniques. Our proprietary software scans through the dealership's advertising campaigns, capturing Relevant data points such as conversions, clicks, impressions, and cost per conversion. This provides us with a wealth of information that we can analyze to assess the effectiveness of the dealership's advertising efforts.

Comparison of Key Data Metrics

Once we have extracted the data from the advertising sources, we compare it to our key data metrics. These metrics serve as benchmarks to determine whether the dealership's performance is meeting industry standards or falling behind. By analyzing these metrics, we can identify areas where the dealership's advertising may be underperforming and in need of improvement.

Increasing Phone Call Leads and Sales

One of the primary objectives of our deep learning solution is to increase the number of phone call leads and sales generated from the dealership's existing ad spend. By making data-driven suggestions and changes to the dealership's advertising campaigns, we aim to optimize their performance and drive better results. This means increasing the conversion rate, total clicks, and impression share, while simultaneously reducing the cost per conversion.

Case Study: Example of the Plug-in Working

To illustrate the effectiveness of our deep learning solution, let's consider a case study. We worked with a new car dealership on their Google ad campaigns. Before implementing our solution, they were getting only 12 conversions from their current ad spend. However, after utilizing our plug-in and making the suggested changes, the number of conversions increased to 283 within a span of 30 days. This represents a significant improvement in performance and a substantial increase in leads.

Metrics for Improved Performance

In addition to the increase in conversions, there were several other key metrics that demonstrated the improved performance of the dealership's advertising campaigns. The conversion rate increased by 46%, indicating that more people were submitting requests for information about vehicles and showing an interest in the dealership's offerings. Furthermore, the total clicks increased by 29%, suggesting a higher level of engagement from potential customers. The cost per conversion also decreased by 11%, indicating that the dealership was achieving better results without increasing their advertising expenses.

Our Targeting Process

To ensure the success of our deep learning solution, we employ a targeted approach to reach potential customers in the local market. We focus on individuals who are actively looking for vehicles within the dealership's territory. By targeting these local market shoppers, we can direct their attention towards the dealership's website and inventory.

Retargeting and Conversion Maximization

In addition to targeting local market shoppers, we also utilize retargeting techniques to maximize the conversion rate. We identify website visitors who have shown high levels of engagement with specific vehicles in the dealership's inventory. These individuals are then retargeted with time-sensitive campaigns to drive them back to the dealership and encourage them to take the next step, such as Scheduling a test drive.

Campaign Example: Facebook Ad for a BMW Dealership

Let's take a look at an example of a successful campaign. We worked with a BMW dealership in California and ran a targeted Facebook ad campaign. Our strategy involved presenting potential customers with ads showcasing the BMW 3 Series, 5 Series, and X5 models, all within a 50-mile radius of the dealership's address. Despite a modest budget of $350 per month, we were able to retarget people who had viewed vehicles on the dealership's website with ads featuring the same or similar vehicles. While specific metrics for this campaign are not available, it generated a significant reach of 13,000 people, with an average of four and a half views per person. This resulted in 396 people visiting the dealership's website, indicating a successful campaign.

Leveraging Data from CRM

To further enhance our targeting capabilities, we leverage data from the dealership's customer relationship management (CRM) system. This includes individuals who have submitted requests for information about vehicles but have not yet come in for a test drive. By retargeting these individuals, we can encourage them to visit the dealership and make a purchase. This integration of advertising insights with CRM data allows us to create a comprehensive and personalized marketing strategy.

Attribution of Sales to Advertising Channels

An essential aspect of our deep learning solution is the attribution of sales to specific advertising channels. We analyze the dealership's CRM data and compare it to the total number of Facebook users that we can match to. This allows us to determine the number of car sales directly attributed to the dealership's advertising efforts. For example, if the dealership sold 552 cars during a specific period, and we could match eight of those sales back to Facebook users who viewed the ads, we can confidently attribute 10% of the total sales to the effectiveness of the Facebook ads.

Optimizing Key Performance Indicators

By leveraging our deep learning solution, dealerships can optimize key performance indicators (KPIs) and enhance their advertising efforts. Through data analysis and continuous monitoring, we can identify areas that need improvement and provide actionable suggestions to increase leads, phone calls, and sales. Our goal is to drive better results without increasing the dealership's ad spend and ensure that every advertising dollar is spent wisely.

30-Day Free Trial Offer

To allow dealerships to experience the benefits of our deep learning solution firsthand, we offer a 30-day free trial. During this trial period, dealerships can choose to apply our solution to either their Facebook ads or their Google ads. This provides an opportunity to assess the performance improvements that our solution can deliver before committing to a long-term partnership.

Highlights

• Our deep learning solution helps car dealerships optimize their advertising efforts and maximize their return on investment.
• By extracting data from various advertising sources, we compare it to key metrics to identify underperforming areas.
• Our solution aims to increase phone call leads and sales without increasing ad spend.
• A case study showed significant improvements in conversions, conversion rate, clicks, and cost per conversion.
• We target local market shoppers and utilize retargeting to maximize the conversion rate.
• Integrating CRM data allows us to create personalized marketing strategies.
• Sales are attributed to specific advertising channels, allowing for a better understanding of effectiveness.
• Our solution optimizes key performance indicators to drive better results.
• Dealerships can try our deep learning solution for free with a 30-day trial.

FAQ

Q: How long does it take to see improvements in advertising performance with your solution? A: The timeline for seeing improvements can vary depending on the dealership's current advertising performance and the changes that need to be implemented. However, our solution is designed to deliver results within a reasonable timeframe, and significant improvements can often be observed within a few weeks.

Q: Can your solution be applied to both online and offline advertising channels? A: Our deep learning solution primarily focuses on online advertising channels such as Google Ads and Facebook Ads. However, we can also provide insights and recommendations for offline advertising channels to ensure a comprehensive advertising strategy.

Q: Is your solution suitable for dealerships of all sizes? A: Yes, our deep learning solution is designed to cater to dealerships of all sizes. We understand that each dealership has unique advertising needs, and our solution can be customized to meet those needs effectively.

Q: How can I sign up for the 30-day free trial? A: To sign up for the 30-day free trial, please visit our website and fill out the contact form. Our team will get in touch with you to provide further details and assist you in getting started with the trial.

Q: What types of data metrics do you analyze to optimize advertising performance? A: We analyze various data metrics, including conversions, clicks, impressions, conversion rate, cost per conversion, and impression share. These metrics provide valuable insights into the effectiveness of the dealership's advertising campaigns and allow us to make data-driven recommendations for improvement.