Mathnasium growth overview
A multi-location paid media system built around cleaner conversion signals, automated budget oversight, and portfolio-level optimization across a large center network.

At a Glance

Before

  • Manual budget management for 119 centers
  • Schedule Assessment used as the primary goal
  • Unqualified leads wasting budget
  • No portfolio bid strategies
  • 3,500 bookings per month baseline
  • Inconsistent pacing across locations

After

  • Automated budget tracker with daily alerts
  • Book Appointment as primary conversion
  • Qualified leads based on actual bookings
  • Portfolio bid strategies by campaign type
  • 7,000+ bookings per month
  • 100% YoY growth achieved

Key Metrics

119
Centers Managed
Across 9 countries
229
Active Campaigns
Search + PMax per center
7,000+
Monthly Bookings
100% YoY growth
$50K
Monthly Budget
Managed across 119 centers

The Challenge

Managing 229 campaigns across 119 centers demanded more than better ads. It required operational systems, cleaner conversion signals, and a bidding approach that could scale.

Multi-Location Budget Management Chaos

Manual budget monitoring across Search and Performance Max campaigns was slow, inconsistent, and impossible to scale efficiently.

Unqualified Lead Generation

The account optimized for Schedule Assessment button clicks rather than completed bookings, sending the algorithm the wrong signal.

No Strategic Bid Management

Individual bidding strategies prevented centers from sharing learnings and created weak budget pacing by month-end.

Our Strategic Approach

We treated the problem as both an operations challenge and a media optimization challenge.

1

Custom Budget Tracker with Automated Alerts

  • Built a Google Sheets tracker with Google Ads API integrations and Apps Script automation.
  • Grouped spend by Search and Performance Max, monitored budget pacing daily, and sent automated color-coded alerts.
  • Gave the team a center-by-center dashboard and eliminated hours of manual work.
2

Conversion Goal Optimization

  • Changed the primary goal from Schedule Assessment to Book Appointment.
  • Ensured conversion fires only after a completed booking on the confirmation page.
  • Shifted optimization toward qualified leads instead of low-value clicks.
3

Portfolio Bid Strategies + Seasonality

  • Implemented portfolio bidding separately for Search and Performance Max campaigns.
  • Allowed similar locations to share data and learn faster.
  • Applied seasonality adjustments for back-to-school surges and holiday slowdowns to improve pacing.

The Results

Bookings7,000+

Monthly bookings doubled from the 3,500 baseline across 119 centers.

Growth100% YoY

Appointment volume doubled while maintaining the same overall monthly budget.

AutomationZero Manual Hours

Budget tracking and daily alerting replaced hours of manual checks.

Lead QualityActual Bookings

Optimization now focused on completed appointments rather than button clicks.

Key Takeaways

Automation and better conversion signals changed the economics.

  • Operational automation freed the team to focus on strategy instead of daily budget policing.
  • Optimizing for actual bookings improved lead quality and booking-to-enrollment outcomes.
  • Portfolio strategies helped similar campaigns share data and accelerate learning across the network.
  • Seasonality adjustments improved pacing for an education business with highly cyclical demand.

The result was not just more volume. It was a more scalable paid media operating system for a multi-location brand.