Foureyes: Behavioral Analytics and Cross-Shop Intelligence for Automotive Dealerships

Foureyes is a Birmingham, Alabama-based automotive analytics platform that solves a question every dealer wants answered: "Which other dealerships are my shoppers visiting?" Founded around 2015–2016 by Mike Nikzad (CEO/co-founder) and David Smith, Foureyes provides behavioral analytics and website visitor intelligence with a unique focus on cross-shop tracking — identifying not just what shoppers do on a dealer's own website, but which competing dealerships they also browse, and down to which specific VINs they compare.

The platform uses anonymized, aggregated data to identify when a website visitor has also visited another dealership's site — same-make competitors, different-make alternatives, or even specific competing VINs. This intelligence feeds into the dealer's CRM, giving salespeople a specific competitive angle when following up with leads. Instead of a generic "were you still shopping for a car?" call, a salesperson can say "I see you were also looking at the blue F-150 at Smith Ford — would you like me to put together a comparison with ours?"

Foureyes has raised venture capital from F-Prime Capital (approximately $8–$10M Series A, with total funding estimated at $15–$20M) and serves thousands of dealership rooftops across the United States and Canada. The platform integrates with major CRMs (Salesforce, VinSolutions, DealerSocket, Elead, PBS) and DMS providers (Reynolds, CDK, Dealertrack, Tekion).

What It Does

Foureyes's platform centers on three capabilities:

Cross-Shop Intelligence identifies which other dealerships a website visitor is also shopping. This includes same-brand competitors (shopper visited Dealer A's Honda store and Dealer B's Honda store) and cross-brand alternatives (shopper visited Dealer A's Ford store and Dealer C's Chevrolet store). The data is available at the individual lead level, giving salespeople a specific, actionable insight for follow-up conversations.

Behavioral Analytics provides session-level data on website visitor behavior: pages viewed, time on site, search queries, and vehicle comparisons. This data is presented in a dashboard that helps dealers understand how shoppers are interacting with their inventory and content.

Lead Scoring and Prioritization ranks inbound leads based on behavioral signals — frequency of visits, pages viewed, cross-shop activity — so salespeople can prioritize the shoppers who are most actively in-market.

Inventory-Level Analytics shows per-VIN attention metrics: which vehicles are getting the most views, which are being compared against competitors' inventory, and which are being cross-shopped most frequently.

Real-Time Alerts notify salespeople when a high-value prospect returns to the site or when a known cross-shopper re-engages.

Why Dealers Care

1. Competitive intelligence drives conversions. Knowing that a shopper is also looking at a competitor's identical make/model gives a salesperson a specific, actionable reason to call. The data changes the follow-up conversation from generic ("just checking in") to specific ("I see you're comparing our Civic LX with the one at Metro Honda — here's why ours is a better deal").

2. Identifies which competitors are a real threat. The aggregated data shows which competing dealerships are drawing the most cross-shop traffic. A dealer can see not just that she is losing deals, but exactly which competitor is winning the comparison — and for which vehicles. This is a strategic planning tool, not just a sales enablement tool.

3. VIN-level competitive data. Knowing that shoppers are comparing a specific VIN on the dealer's lot against a specific VIN at a competitor's lot is extraordinarily granular intelligence. It lets the dealer adjust pricing, create a targeted offer, or pull a vehicle from a listing before it gets lost in a price war.

4. Integration with existing CRM workflow. Foureyes data surfaces inside the CRM the dealer already uses — Salesforce, VinSolutions, DealerSocket, Elead, PBS. Salespeople do not need to log into a separate tool to see competitive intelligence.

5. Privacy-compliant data collection. Foureyes uses anonymized, aggregated data rather than personally identifiable information. The platform's privacy positioning is designed to avoid the tracking controversies that have affected other visitor intelligence tools.

Strengths

Unique competitive data. No other widely deployed automotive analytics tool tells dealers which specific other dealerships their shoppers are visiting. This is Foureyes's core and most defensible differentiator.

VIN-level granularity. The ability to see which specific vehicles shoppers are comparing across dealerships is a capability that even larger analytics platforms do not offer.

CRM-native data delivery. Because Foureyes pushes data directly into the dealer's CRM, it avoids the adoption problem that plagues standalone analytics dashboards. Salespeople see cross-shop data where they already work.

Strong automotive focus. The platform is purpose-built for automotive analytics, with vehicle-specific data models and dealership workflow integration that a general-purpose analytics tool would not provide.

Real-time alerts. The notification system ensures that salespeople act on competitive intelligence while it is still timely — not days later when the shopper has already purchased elsewhere.

Watch-Outs

Data accuracy limitations. Foureyes relies on probabilistic matching — cookies, device IDs, IP addresses — to identify cross-shop behavior. Results are directional, not definitive. Shoppers using incognito mode, private browsing, or multiple devices may not be tracked accurately. False positives (identifying a competitor visit that did not actually happen) are possible.

Cookie deprecation risk. Google's ongoing phaseout of third-party cookies, along with Safari ITP and Firefox ETP protections, directly impacts Foureyes's tracking methodology. The company has been developing cookieless alternatives, but this is an existential risk to the core product over the next 2–3 years.

Limited total addressable market. Foureyes sells exclusively to auto dealers. Industry consolidation — fewer dealer groups, larger groups — means a shrinking pool of potential customers over time.

Value diminishes for low-traffic dealers. A small-town dealer with 200 website visitors per month will get thin cross-shop data. The platform's value scales with traffic volume. Low-traffic dealers may see a handful of cross-shop signals per month — not enough to justify the subscription.

Competitive threats. DriveCentric, AIS (AutoIntel), Phone Ninjas, and CallRevu all offer some form of competitive analytics or visitor intelligence. Larger platforms — CDK, Reynolds, Cox Automotive — could build native competitive analytics features into their existing products.

Who It's Best For

Good fit: Franchise dealerships and small to mid-size dealer groups in competitive metro markets where shoppers regularly cross-shop multiple stores. Best for dealers who have the sales process maturity to act on competitive intelligence — a BDC team that uses CRM data in follow-up calls, rather than a general manager reading reports.

Bad fit: Small-town dealers with limited local competition and low website traffic. Dealers who do not have a consistent CRM-based follow-up process — the data is only valuable if salespeople actually use it in conversations. Also a poor fit for dealers who are uncomfortable with any form of website visitor tracking.

Demo Questions

1. Walk me through a specific example — a shopper visits our site, then visits a competitor. What does the alert look like in our CRM?
2. How does the probabilistic matching work? What percentage of my traffic gets identified as cross-shop visitors, and how accurate is that attribution?
3. What happens when third-party cookies go away? What is your cookieless tracking strategy?
4. Can I see which competitors are winning the most cross-shop comparisons for my top-selling models?
5. How does the lead scoring work — what behavioral signals carry the most weight? Can I customize the scoring model?

Bottom Line

Foureyes provides genuinely unique competitive intelligence for automotive dealerships. The ability to see which other dealerships a shopper is visiting — and which specific VINs they are comparing — is a capability that no other widely deployed analytics platform offers in the same depth. The data is actionable for sales follow-up and strategically valuable for competitive positioning. The main risks are the dependency on cookie-based tracking (which is being phased out across the web), the probabilistic accuracy limitations, and the platform's value ceiling for low-traffic dealers. For a metro-market franchise dealer with solid traffic and a sales team that will actually use competitive intelligence in follow-up calls, Foureyes is a strong investment.