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Cohesyve Documentation
Website
  • Welcome to Cohesyve
  • Why is it called Cohesyve?
  • Getting Started
    • Onboarding Process
    • Pricing Plans
  • Data
    • Overview
    • Integration Library
  • Insights
    • Overview
    • Feature Walkthrough
      • What can you track?
      • How to filter by data source
      • Seeing Goals from Metrics
    • Ideas & Feedback
  • Explorer
    • Overview
    • Feature Walkthrough
      • How to explore your data
      • How to filter results
      • How to aggregate data
      • How to create metrics
      • How to create tables
      • How to create graphs
    • Data Structure of Sources
      • Shopify
      • Facebook Ads
      • Amazon Seller Central
      • Amazon Ads
    • Ideas & Feedback
  • Goals
    • Overview
    • Feature Walkthrough
      • How to create goals
      • How to edit goals
    • Ideas & Feedback
  • Decisions
    • Overview
    • Feature Walkthrough
      • What are decisions?
      • How are decisions generated?
    • Ideas & Feedback
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  • What is Explorer?
  • How It Works
  1. Explorer

Overview

Dive into the Explorer Module

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Last updated 9 months ago

What is Explorer?

The Explorer Module is your gateway to understand your business data, without having to hire a business analyst or learn SQL yourself.

As your data gets distributed across various tools, it can become difficult to get a bird's eye view of your business. With Explorer, you can dig into any data source, filter, and aggregate data as you'd like.

  • Want to find your bestselling products on Shopify? ->

  • Curious about which cities are contributing most to your Amazon Revenue? ->

  • Want to double down on your top performing Facebook Ad Creatives? ->

Anything you can think of, you can explore.

How It Works

Since your data is already interconnected within Cohesyve, you can use Explorer to build custom Metrics, Tables or Graphs that you'd like to track.

It's a simple four step process:

  1. Pick a data source (e.g. Shopify)

  2. Select what you'd like to explore in that data source (e.g. Customers)

  3. Filter (e.g. Customers living in a specific City) or Aggregate Data (e.g. Lifetime revenue of customers by combining the order value across all their orders)

  4. Create a Metric, Table or Graph from the returned data (which will show up on Insights)

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Explorer Module