WeGoBuy Leverages Spreadsheets for Data-Driven User Growth Analysis and Acquisition Strategy

Harnessing Spreadsheet Analytics for Customer Acquisition

WeGoBuy, the premier shopping agent service, has implemented a robust data analysis framework using spreadsheets to drive its user growth initiatives. By systematically tracking and analyzing key customer metrics, the company has developed powerful insights to optimize its customer acquisition strategy.

Comprehensive Data Integration

The platform collects extensive user data across three critical dimensions:

Registration Data: Including timestamp, signup channel, and geographic origin
First-Purchase Behavior: Documenting initial order timing, product selection, and transaction value
Referral Metrics: Tracking invitation performance and viral coefficients

Channel Performance Analysis

WeGoBuy's analytics team evaluates multiple acquisition channels through spreadsheet models that calculate:

KPI	Measurement	Optimization Impact
Cost Per Acquisition (CPA)	$20-60 across channels	Reallocated 40% budget from SEM to influencers
Conversion Rate	3-11% by source	Redesigned landing pages for low performers
30-Day Retention	12-29% segment variation	Developed post-purchase engagement flows

Strategy Implementation

Through iterative spreadsheet analysis, WeGoBuy has executed several targeted initiatives:

Priority investment in high-performing Facebook communities showing 23% better LTV
Partnership program redesign increasing referral conversion by 180%
Geographic-specific promotions adjusting for regional purchasing patterns
First-purchase incentives tied to predicted customer lifetime value

Business Impact

This data-driven approach delivered measurable improvements within six months:

+63% Monthly New Users

-22% Acquisition Cost

+39% Repeat Purchase Rate

WeGoBuy continues refining its models to identify emerging customer segments and optimize marketing spend seasonally.