Reducing Acquisition Spend While Increasing Customer Volume

The Question

How can a mature local-service business grow customer acquisition while improving the productivity of its marketing investment?

The analysis compares the pre-management 2023 baseline with performance after I became Marketing Manager in 2024. Full-year results through 2025 show how acquisition efficiency changed beyond the first management year.

Context

Mosquito Squad of Wilmington operates in a mature local-service market. In 2023, the measured marketing program relied on Google and direct mail, with $70.7K in Wilmington measured media spend.

When I became Marketing Manager in 2024, the objective shifted toward growing customer acquisition while improving the productivity of marketing investment. Channel and monthly allocation became more actively managed.

Data

Efficiency measures use total Wilmington measured media spend rather than platform-reported attribution.

Source: annual marketing and business-performance records, with channel-allocation and chart tables. Measured media spend = Google + Social + RDD + Direct Mail. The $34.3K figure is the 2024 Wilmington analysis scope; the $205K portfolio-wide annual marketing budget covers the broader brands and locations. Each spend-per-outcome measure divides measured annual spend by the corresponding annual outcome count; indices set each series’ 2023 value to 100. New customers per $1K of measured media spend = New Customers ÷ Wilmington measured media spend × $1,000. In 2023: 394 ÷ $70,729 × $1,000 ≈ 5.6; in 2024: 454 ÷ $34,342 × $1,000 ≈ 13.2. The approximately 137% improvement is calculated from the unrounded rates. Full-year comparisons cover 2023–2025; 2026 channel mix is YTD through August.

Approach

Findings

Decision

2024: manage investment against acquisition outcomes

During my first management year, I managed channel and monthly budget allocation around customer acquisition and marketing efficiency. The comparison tracks new customers, leads, revenue, and Wilmington measured media spend together, rather than treating a lower budget as the outcome on its own.

The first-year productivity improvement occurred alongside a lower investment level: Google and direct mail remained close to a 60/40 split in both 2023 and 2024. This comparison does not isolate the effect of individual campaign changes or establish a causal explanation for the productivity gain.

2025: a second phase of channel evolution

The larger change in channel mix followed in 2025.

The media mix evolved from a largely Google/direct-mail program into a more actively managed multi-channel allocation across search, social, RDD, and direct mail.

The objective was not diversification for its own sake. Allocation decisions were made around market maturity, demand timing, channel role, and observed efficiency.

Outcome

The Wilmington analysis sits within a broader multi-brand home-services portfolio. The following results describe that wider scope.

Returning to Wilmington, an indexed comparison shows business output alongside the measured marketing investment supporting the program.

By 2025, Wilmington measured media spend remained approximately 54% below the 2023 baseline while annual revenue remained 2.4% above it.

Lead volume was 9.5% below baseline in 2025, so the sustained result is lower measured spend with stable revenue—not uninterrupted growth across every acquisition measure.

Limitations

• This is an observational business-performance comparison, not a controlled causal experiment.
• Revenue includes business activity beyond directly attributed paid-media conversions.
• “Spend per Lead” and “Spend per New Customer” use total Wilmington measured media spend.
• Channel roles differ, so allocation percentages should not be interpreted as direct measures of incremental effectiveness.
• 2026 data is year-to-date through August where shown.

Tools / Methods

Excel as the source; Python for extracting and validating chart tables.