Wrangler in Action

From retail stock checks to marketing ROI — see how teams like yours use Wrangler to make sense of messy data and make better decisions, faster.

Real Scenarios, Real Insights

See how business teams use Wrangler to turn messy spreadsheets into clear, actionable decisions — no coding required.

The Challenge

Your POS system spits out a messy CSV with inconsistent product names, missing categories, and months of sales history jumbled together.

How Wrangler Helps

Wrangler cleans and standardizes your product data, then identifies slow-moving stock, seasonal demand patterns, and optimal reorder points.

Sample Insight

"SKU #4821 (Winter Gloves) has 240 units in stock but only sold 12 in the last 90 days — consider a 30% markdown before spring."

The Challenge

You have CSV exports from Google Ads, Meta, and email platforms with different column names, date formats, and attribution models.

How Wrangler Helps

Wrangler normalizes the data across platforms and compares ROI, cost-per-acquisition, and conversion rates side by side.

Sample Insight

"Email campaigns deliver 3.2x higher ROI than paid social — reallocating 20% of your Meta budget to email could save $1,400/month."

The Challenge

Your CRM export is full of duplicate contacts, blank fields, and deals stuck in limbo for months with no clear bottleneck.

How Wrangler Helps

Wrangler deduplicates records, visualizes your conversion funnel stage by stage, and flags where deals stall out.

Sample Insight

"62% of deals stall at the Proposal stage for 14+ days — following up within 3 days could recover an estimated $85K in quarterly revenue."

The Challenge

You download bank CSVs monthly but categorizing hundreds of transactions by hand is tedious, and you keep missing spending spikes.

How Wrangler Helps

Wrangler auto-categorizes transactions, flags unusual charges, and charts month-over-month spending trends by category.

Sample Insight

"Software subscriptions jumped 40% in Q3 — three overlapping project management tools account for $2,100/year in redundant costs."

The Challenge

Employee data lives across multiple spreadsheets — headcount, compensation, performance reviews — and none of them match up cleanly.

How Wrangler Helps

Wrangler merges datasets on employee ID, surfaces turnover patterns, and highlights departments with retention risks.

Sample Insight

"Engineering turnover spiked to 28% this quarter — employees with 2-3 years tenure and no promotion are 4x more likely to leave."

The Challenge

Survey responses and support tickets pile up in spreadsheets but nobody has time to read through thousands of open-text comments.

How Wrangler Helps

Wrangler analyzes response patterns, groups common complaints by theme, and ranks issues by frequency and sentiment.

Sample Insight

"34% of negative feedback mentions "slow checkout" — fixing this single issue could improve your NPS score by an estimated 12 points."

Upload your CSV, Excel, or JSON file and get actionable insights in seconds.