Lead Generation for a Rolex Showroom in Los Angeles

Key results

33x ROAS

from tracked purchases

$41.26

average phone lead cost

5x higher

average revenue per showroom booking

$567.34

cost per purchase

rolex showroom la

Summary

A pre-owned Rolex showroom in Los Angeles came to us with underperforming Google Ads campaigns, poor lead quality, and limited visibility into which ads actually led to showroom visits and purchases.
The account was spending budget, but the traffic was too broad, the campaigns were not separated by intent, and purchase tracking did not clearly connect ad spend to revenue.
Cooperation Period
3 months
Location
LA, California
Industry
Luxury Retail
Service Provided
PPC Lead Generation
rolex watches

Business Challenge

The showroom already had a valuable product category and strong local demand, but its paid search setup was not built to capture serious buyers. Campaigns were mixing different user intents, including people casually researching watches, looking for service-related queries, comparing brands, or browsing without a clear purchase plan.

This created several problems at once. The account generated clicks, but too many of them came from users who were unlikely to buy. Phone calls and form actions were not properly separated by value. The team also had limited confidence in revenue attribution because showroom purchases often happened offline after a call or appointment.

Solutions

  • 1

    Campaign Structure Rebuild

    We reorganized the account around intent instead of keeping all traffic inside broad campaigns. This made it easier to control budgets, improve lead quality, and understand which searches were producing real business value.

    The updated campaign structure included:

    • Specific Rolex models.
    • Local showroom-intent campaigns.
    • Pre-owned Rolex keyword groups.
    • Retargeting campaigns.

    This helped the account focus spend on people who were actively looking for a Rolex showroom, pre-owned Rolex models, or a place to buy luxury watches locally.

  • 2

    High-Intent Keyword Optimization

    The biggest improvement came from filtering out low-value traffic and focusing on searches that showed clear purchase intent. Instead of optimizing only for clicks or general watch interest, we prioritized keywords connected to local buying behavior.

    At the same time, we reduced spend on informational, service-related, and low-commercial-intent queries that were unlikely to turn into showroom visits or purchases.

  • 3

    Lead Quality Improvements

    The initial campaigns were bringing in leads, but not enough of them had strong purchase intent. We changed optimization priorities to focus on conversion actions that were closer to revenue.

    Instead of treating every interaction the same way, we separated the value of different actions:

    • Phone calls.
    • Showroom booking intent.
    • Website lead actions.
    • Purchase-related keyword behavior.
  • 4

    ROAS Measurement

    Because luxury watch purchases often happen after a call or in-person visit, standard online conversion tracking was not enough. We connected advertising performance to confirmed purchase data, so the team could understand which campaigns were producing revenue.

    This made it possible to measure:

    • Cost per phone lead.
    • Cost per purchase.
    • Revenue from tracked purchases.
    • ROAS from confirmed buyers.
    • Campaign-level lead quality.
    • Keyword-level conversion value.
  • 5

    Budget Reallocation Based on Buyer Intent

    Once we had clearer performance data, we shifted budget toward campaigns and keywords that produced better-quality leads. Campaigns with strong cost per conversion and purchase potential received more attention, while lower-performing traffic campaigns were reduced or limited.

    The strongest performers included:

    • Retargeting campaigns.
    • Search campaigns for watch models.
    • Local showroom-intent campaigns.
    • Branded and near-brand watch searches.

Project Results

After three months, the account became a more efficient PPC system built around real showroom revenue, not just traffic volume.

The most important improvement was not only the lower cost per lead. The campaign started bringing in better buyers. With stronger targeting, cleaner campaign structure, and revenue-based optimization, the average revenue from a showroom booking increased by 5x.

33x ROAS from tracked purchases
$130K in revenue from $4K in Google Ads spend during the strongest measured month.
$41.26 average phone lead cost
Calls became the main conversion point after campaigns were rebuilt around high-intent buyers.
$567.34 cost per purchase
Paid search generated confirmed showroom-driven purchases at a sustainable acquisition cost.
5x higher AOV
The campaign started attracting buyers with stronger purchase intent and higher average order value.