Where Knowledge Meets Innovation

Benchly: Sales Benchmarks

Develop by Shopstar

Free plan available

"Optimize store success with real-time sales benchmarking and insights."

Simple dashboard

Real-time insights

Custom filters

Actionable advice

Compare metrics

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About Benchly: Sales Benchmarks

Launched Jan 19, 2025

Built by Shopstar

Email :

chris@shopstar.co.za

Address

Cape Town, WC, ZA

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Description

Compare your store’s performance against industry benchmarks and uncover opportunities for growth.

Understanding how your store performs in a competitive market can be challenging. Our app provides merchants with the data and insights they need to stay ahead. Whether you're a small business owner or a growing brand, our tool helps you identify strengths, pinpoint weaknesses, and make data-driven decisions to optimize your store’s success. From tracking key metrics to real-time benchmarking, our app simplifies performance analysis and empowers you to act with confidence.

Compare Metrics: Benchmark your store's key metrics against industry standards.
Custom Filters: Filter by date, country, or store type for tailored comparisons.
Real-Time Insights: Access up-to-date data to make smarter business decisions.
Actionable Advice: Get recommendations to optimize your store.
Simple Dashboard: Visualize performance with an intuitive, easy-to-use interface

Pros

Provides real-time sales benchmarking and insights, allowing for immediate action.
Helps identify strengths and weaknesses by comparing store metrics against industry standards.
Customizable filters (date, country, store type) for tailored performance analysis.
Delivers real-time insights, facilitating smarter and timely business decisions.
Offers actionable advice to optimize store performance.
Features a simple, intuitive dashboard for easy visualization of data.

Cons

The effectiveness depends heavily on the accuracy and relevance of benchmark data.
May require time to familiarize oneself with the app's interface and features.
Real-time data might not always reflect long-term trends or considerations.
Custom filters could complicate data interpretation if not used properly.