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Birdwell Beach Britches logo

How Birdwell Forecasted Net Sales with 99% Accuracy

Birdwell Beach Britches is one of America's oldest surf brands, handcrafted boardshorts made in California since 1961. Heritage brand with fiercely loyal customers and a long purchase cycle.

Analytics LuckyMMM
Birdwell Beach Britches revenue forecasting case study — 99% accuracy
99.9%
Accuracy / BFCM Month Forecast
90%
Accuracy / Q4 Forecast
7.5%
Better MER Than Expected

California-crafted since 1961. Now with data-driven planning.

Birdwell Beach Britches has been crafting premium boardshorts in California since 1961, making them one of America's oldest and most beloved surf brands. Their customers are fiercely loyal, and their purchase cycle is long.

But without a quantitative model for revenue forecasting, Birdwell was making gut-feel decisions about inventory and media spend. LuckyRev brought data science to this heritage brand.

Gut-feel planning in a data-first world

Birdwell needed better revenue forecasting to plan inventory and media spend. Without a quantitative model, they were making gut-feel decisions about budget allocation across channels, creating seasonal inventory risk and missed opportunities.

No revenue forecasting model

Birdwell had no formal system for predicting seasonal revenue, making it difficult to set realistic targets or plan inventory with confidence.

Media planning based on intuition

Budget allocation and spend timing relied on gut feel rather than data, leading to inefficient pacing across the season.

Seasonal inventory risk without demand signals

Inventory decisions made without data-backed demand forecasts created both stockout and overstock risks.

LuckyProphet + LuckyMMM = data-backed confidence

LuckyRev implemented LuckyProphet, their proprietary revenue forecasting model, validated against Birdwell's historical sales data. Built LuckyMMM to understand the true contribution of each channel to revenue.

01

LuckyProphet Implementation

Built revenue forecast model on historical Birdwell data, validated against actual sales before deployment.

LuckyProphet
02

MMM Build

Statistical model mapping the causal relationship between media spend and net sales across all channels.

LuckyMMM
03

Quarterly Revisits

MMM updated each quarter to reflect algorithm changes, media shifts, and new performance data.

Analytics
04

Actionable Outputs

Forecast outputs directly informed seasonal budget decisions, inventory planning, and channel allocation.

Analytics

Growth you can measure

Birdwell's Q4 came in with forecast accuracy that made planning easy. November delivered a record number of new customers alongside the numbers below.

99.9%
Accuracy / BFCM Month
November forecast matched actual net sales within 0.1%.
90%
Accuracy / Q4 Forecast
Full Q4 forecast landed within 10% of actual net sales.
7.5%
Better MER Than Expected
Actual media efficiency ratio outperformed the modeled target for the quarter.
Record
New Customers in November
The brand's highest-ever new customer acquisition in a single month, captured during peak season.

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