Driving growth: The Parking Spot increases ROI 120% with Bonsai

The Parking Spot faced a 10% decline in new customers. The company heavily invested into brand paid search campaigns, limiting their exposure to other high-performing audiences.  Seeking a reevaluation of their digital marketing performance, they partnered with Bonsai to unlock sustainable customer acquisition and drive sustained business growth.

Challenge

Through a deep dive into The Parking Spot’s performance data, Bonsai uncovered underlying constraints driven by a skewed media mix.

A large portion of the company’s budget was dedicated to converting existing brand demand, restricting investment into non-brand campaigns. This starved top-of-funnel initiatives of the capital needed to capture general search queries like “airport parking.” By failing to invest adequately in customer-acquiring non-brand channels, the mix became stagnant.

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Solution

Data extracted from Bonsai’s Multi-Touch Attribution (MTA) and Marketing Mix Modeling (MMM) proved over-indexing on brand coincided with the 10% decline in new customers. 

Under legacy attribution models, brand campaigns appeared highly efficient. Bonsai’s Incrementality Testing and MMM analysis revealed less than 10% of brand-driven stays converted to new customers. The brand campaigns were merely capturing existing demand rather than generating incremental conversions or meaningful business growth. Through the MMM lens, shifting out of defensive brand bidding to fund true incrementality was the correct path forward. 

To fully evaluate the viability of the programmatic shift, The Parking Spot utilized Matched Market Testing (MMT) to assess the incremental impact of Bonsai’s proprietary Google Ads Predictive Bidding Algorithm. Running the algorithm against legacy pixel buying proved that leveraging predictive click conversions significantly optimizes the conversion funnel, especially when scaling into a non-brand search mix.

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Results

Analytical insights provided by Bonsai’s MMM and MTA changed the trajectory of The Parking Spot's digital strategy. Moving away from a brand-heavy search strategy inflating performance metrics without driving incremental outcomes allowed the brand to target high-intent, non-brand queries. 

March 2026 data proved optimizing the media mix yielded immediate efficiency gains.

• Reducing spend on brand optimized the media mix, allowing non-brand and app channels to drive high total volume with improved overall efficiency.

• Decreasing investment in Bing brand campaigns from ~$104K to ~$66K increased stays significantly from 8,961 to 12,874. ROI jumped from 6.88 to 15.15 (+120%).

• Google and Bing non-brand campaigns delivered healthy stay counts, driving over half of the month’s incremental stays.

• By the end of Q1, total marketing spend of $1,520,713 (+15% YoY) successfully generated 642,584 bookings (+5% YoY) and 645,606 stays. For March specifically, new customers rose 7% YoY to 36,457, and bookings increased 4% YoY, cementing the success of the non-brand push.

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The MMT outcome highlighted the efficiency of the algorithm during the trial period, measuring a 2% lift in stays with only a 3% increase in cost. This represented an exceptionally efficient scaling outcome compared to standard acquisition methods requiring a 30% budget increase to drive the same volume.

Testing Bonsai’s Google Ads Predictive Bidding Algorithm in Dallas/Denver (DAL/DEN) against control markets in Atlanta/Phoenix (ATL/PHO) revealed significant acquisition efficiency.

• In the test markets managed by the algorithm, the attributed index was $2.59 to drive 812 new customers. In contrast, the control markets (ATL/PHO) required an attributed index of $1.76 to yield only 391 new customers. This translated to an attributed cost-per-new-customer that was 53% lower in test markets.

• When the mix shifts toward broader non-brand audiences, marketers typically face rising Cost-Per-Clicks (CPCs) and Cost-Per-Acquisitions (CPAs). The Bonsai algorithm successfully mitigated this pressure. In 2026 Google Search metrics, the test markets (DAL/DEN) achieved a lower CPC of $0.74 (vs. $1.12 in ATL/PHO) and a lower overall CPA of $4.36 (vs. $4.98 in ATL/PHO).

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Scaling the algorithm across all regional markets at 100% utilization yields substantial projected financial returns.

• New Customer Lift: +9% daily increase

• Incremental Lifetime Value (iLTV) per Day: $3,900

• Incremental ROI: $62.90

• Expected Annual iLTV: $14,000,000

• Net Customer Win (After Fees): $13,700,000

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Through the dual lenses of media mix optimization and advanced machine learning, the trial proved Bonsai’s algorithm captured demand and generated highly incremental business value while containing scaling costs.

The analytical insights provided by MTA and MMM changed the trajectory of The Parking Spot's digital strategy. Moving away from a brand-heavy search strategy that inflated performance metrics without driving incremental outcomes allowed the brand to target high-intent non-brand queries. Backed by the efficiency of Bonsai's proprietary Google Ads algorithm, The Parking Spot successfully optimized its digital footprint — repositioning the marketing mix toward top-of-funnel acquisition to secure long-term customer and revenue growth.