Why Identity Resolution is the competitive edge your dealership is missing.
If you are like most dealers, you spend a massive amount of budget driving traffic to your website. But as Launch Labs Chief Revenue Officer, Mike Morgan recently explained during a session for NCM Associates, here is the hard truth:
You don't need more shoppers. You need to get more out of the shoppers you already have.
Watch the full presentation below to see how top dealers are solving this problem, or read on for the key takeaways.
In his presentation, Morgan highlighted a staggering statistic: nearly 98% of your website visitors never fill out a lead form. You pay for 100% of that traffic, but you only know who 2% of them are. The rest remain invisible—browsing your inventory, comparing prices, and potentially defecting to competitors—without you ever knowing they were there.
This is where Identity Resolution changes the game.
The Two Types of Identity Resolution
To capture the full picture of your audience, you need a data strategy that employs two specific types of identity resolution:
- Deterministic (The "Hand-Raiser"): This relies on a shopper taking a specific action, like clicking an email or filling out a form. It is the foundation of a traditional **Customer Data Platform (CDP).** It is highly accurate, but it relies on the customer proactively identifying themselves.
- Probabilistic (The "Silent Shopper"): This is the game-changer. Probabilistic resolution looks at the passive website visitor—the one who doesn't fill out a form—and uses data signals to figure out who they are.
"You need them both. Period," says Morgan. While deterministic data captures the engaged lead, probabilistic data gives you a swing at identifying the massive volume of silent shoppers browsing your site right now.
The Numbers: What You’re Missing
What is the actual impact of turning on these data strategies? Morgan offers an example of a 10-franchise dealer group with 250,000 monthly website visitors:
- Without Identity Resolution: You might identify a small fraction through standard leads.
- With Deterministic (CDP): You identify about 5,000 returning customers.
- With Probabilistic Layered On: You identify another 10,000–15,000 current customers you didn't know were shopping.
- The Net-New Opportunity: Most importantly, a probabilistic layer can reveal 60,000 to 70,000 net-new shoppers—people who were previously completely unknown to you.
That is roughly 80,000 people you can now target with real-time, omnichannel campaigns based on exactly what they looked at on your site. This level of insight allows you to unify online and offline data to see the true customer journey.
The Cost of Inaction
The automotive industry is competitive. If your competitor knows who is in the market before you do, you lose.
"You're doing a lot of guessing and not enough knowing," Morgan notes. By implementing a strategy that cleans your data and layers both deterministic and probabilistic resolution, you help overcome the limiting factors of traditional tracking. This gives you a competitive advantage that lowers ad spend efficiency while increasing sales and service revenue.
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Stop Guessing, Start Knowing: Unlocking the "Hidden" 98% of Your Website Traffic
Why Identity Resolution is the competitive edge your dealership is missing.
If you are like most dealers, you spend a massive amount of budget driving traffic to your website. But as Launch Labs Chief Revenue Officer, Mike Morgan recently explained during a session for NCM Associates, here is the hard truth:
You don't need more shoppers. You need to get more out of the shoppers you already have.
Watch the full presentation below to see how top dealers are solving this problem, or read on for the key takeaways.
In his presentation, Morgan highlighted a staggering statistic: nearly 98% of your website visitors never fill out a lead form. You pay for 100% of that traffic, but you only know who 2% of them are. The rest remain invisible—browsing your inventory, comparing prices, and potentially defecting to competitors—without you ever knowing they were there.
This is where Identity Resolution changes the game.
The Two Types of Identity Resolution
To capture the full picture of your audience, you need a data strategy that employs two specific types of identity resolution:
- Deterministic (The "Hand-Raiser"): This relies on a shopper taking a specific action, like clicking an email or filling out a form. It is the foundation of a traditional **Customer Data Platform (CDP).** It is highly accurate, but it relies on the customer proactively identifying themselves.
- Probabilistic (The "Silent Shopper"): This is the game-changer. Probabilistic resolution looks at the passive website visitor—the one who doesn't fill out a form—and uses data signals to figure out who they are.
"You need them both. Period," says Morgan. While deterministic data captures the engaged lead, probabilistic data gives you a swing at identifying the massive volume of silent shoppers browsing your site right now.
The Numbers: What You’re Missing
What is the actual impact of turning on these data strategies? Morgan offers an example of a 10-franchise dealer group with 250,000 monthly website visitors:
- Without Identity Resolution: You might identify a small fraction through standard leads.
- With Deterministic (CDP): You identify about 5,000 returning customers.
- With Probabilistic Layered On: You identify another 10,000–15,000 current customers you didn't know were shopping.
- The Net-New Opportunity: Most importantly, a probabilistic layer can reveal 60,000 to 70,000 net-new shoppers—people who were previously completely unknown to you.
That is roughly 80,000 people you can now target with real-time, omnichannel campaigns based on exactly what they looked at on your site. This level of insight allows you to unify online and offline data to see the true customer journey.
The Cost of Inaction
The automotive industry is competitive. If your competitor knows who is in the market before you do, you lose.
"You're doing a lot of guessing and not enough knowing," Morgan notes. By implementing a strategy that cleans your data and layers both deterministic and probabilistic resolution, you help overcome the limiting factors of traditional tracking. This gives you a competitive advantage that lowers ad spend efficiency while increasing sales and service revenue.
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