How Scalix Turned PAM AI's Google Ads Into $1.27M in Pipeline in a Single Quarter

About PAM AI

PAM AI was founded in 2023 by Samee Khan, Abdullah Baig, Haroun Ansari, and Omer Zulfiqar, a team with backgrounds at Amazon, Lyft, and Adobe. It is an AI platform purpose-built for automotive dealerships, combining an AI receptionist, BDC automation, voice AI, and service scheduling into a single system. 

More than 800 dealerships now run on PAM AI, and the company was named Dealer-FX's preferred Voice AI partner after raising a round led by Autotech Ventures.

Background

PAM AI already had a Google Ads account generating leads when Scalix took over, but leads alone were not the point. It sells into the automotive AI space, to dealerships and BDC teams, with long sales cycles and high contract values. The real question was whether those leads were turning into pipeline and revenue and whether we could trace that impact back to the ads.

The automotive AI category is competitive. The buyer profile is specific: dealer principals, BDC managers, and fixed ops directors. The keyword space mixes high-intent category searches with broad consumer terms that burn budget fast, so generic paid search does not work here. Buyer precision and campaign segmentation drive everything, and that was precisely our task. 

Challenges

Challenge #1: A Niche, High-Value Buyer With Low Tolerance for Waste 

Dealer principals and BDC managers are a small, specific audience, which leaves little room for inefficient spend.

• Broad keyword strategies waste ad budget on low-intent searches with no path to close.

Challenge #2: Long Sales Cycles Requiring Pipeline Attribution 

Deals take weeks to close, which means lead volume alone is a misleading metric.

• Scalix needed to build an attribution system that could trace Google Ads activity through the CRM to closed-won revenue.

Challenge #3: Campaign Segmentation Complexity 

PAM AI is a complex product with multiple buyer types and intent layers.

• Without clear campaign isolation, budgets get blurred across segments, making it harder to see what is working and act on the right signals.

Challenge #4: Proving Revenue Impact Beyond CPL 

The account was generating leads, but without CRM pipeline integration, we couldn’t see whether those leads were driving real business value.

• Cost per lead could not show whether spend was actually converting into pipeline or revenue.

Solution

Scalix applied a campaign segmentation and CRM attribution model built specifically for long-cycle B2B verticals, so every dollar of spend could be traced from click to opportunity to close.

Strategy 1: CRM-Connected Attribution and Clean Segmentation

We integrated Google Ads with HubSpot via GCLID tracking, so every contact and its associated deal could be traced back to the campaign that drove it. Pipeline and closed-won revenue were attributed by campaign. On top of that, we isolated budget across distinct campaign types, each serving a specific buyer intent with an independent performance signal, which let us make precise scaling decisions grounded in revenue data rather than surface metrics.

Strategy 2: Brand as the Pipeline Engine

We recognized that branded search was driving the highest-value opportunities and invested accordingly. Dealer principals already aware of the product/brand were researching before a sales call, and the brand campaign captured that intent and converted it into pipeline.

Strategy 3: High-Efficiency Scaling and Competitor Conquesting

We identified a specific campaign segment generating exceptional closed-won returns relative to its spend and scaled it as a priority. That one segment alone produced significant closed-won revenue from a small budget allocation. Alongside that, we built a dedicated competitor campaign to capture dealers actively evaluating alternatives, placing PAM’s advantages at the exact moment comparison intent was highest.

Ongoing Optimization

We continuously moved spend away from campaigns with no attributable pipeline or closed-won revenue, concentrating budget in the segments with proven CRM-linked results. That ongoing reallocation is what helped the account keep getting better throughout the quarter instead of staying flat.

Results

$1.27M in pipeline. $162K closed-won. $1.03M still active. All from $92.6K in spend.

Pipeline and revenue. In Q2 2026, $92.6K in spend generated $1.27M in total pipeline across 81 leads. $162K of that converted to closed-won revenue at a 1.75x blended ROAS, with $1.03M in active pipeline still working through the sales cycle.

Where it came from. Branded search generated 68% of the active pipeline, with most of that pipeline coming from the dealership opportunities with the highest ACVs. The competitor campaign generated both active pipeline and closed-won revenue efficiently. One segment stood out, generating the strongest return on spend of any campaign in the account.

Business Impact

PAM now has something it did not have before: full CRM attribution, with every campaign's pipeline and closed-won contribution visible in HubSpot. 

That visibility is what turned $92.6K in spend into $1.27M in pipeline in a single quarter. $162K has already closed at a 1.75x blended ROAS, with another $1.03M still in the pipeline.

Branded search was the primary pipeline driver, generating 68% of total active pipeline and reaching the highest-value dealership opportunities. One smaller campaign segment also delivered significant closed-won revenue with a minimal share of spend.

Budget is now concentrated in the segments that have earned it, with spend removed from campaigns that show no attributable pipeline. 

The Q2 number will keep growing long after the quarter ends, and Q3 is already being built on the same foundation.

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