Retail x Einblick

Your customers, stores, and digital channels generate tons of data. Einblick's visual workflows empower technical experts to be more productive and business users to do more.

Use real-time collaboration to get the team's insight, iterate faster, and eliminate the the back and forth around data decisioning.

Then, take full control of your analysis, uncover the insights behind your data, and make predictive and prescriptive insights at the speed of thought.


Get Started

Try Pro for 14 days, then use Basic for free.


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Visually query your data to explore. Then, use AutoML to quickly identify which drivers cause the target outcome.

Challenges

Dashboards and Excel are the primary source of strategic analysis, but they're slow and static. 

Few specialist data analysts on the team, and their bandwidth is strapped. 

Questions are frequently open-ended, and not well-structured at first for analysis. 

Einblick's answer 

Rapidly prototype analytics projects and get to answers. 

Intuitive visual workflows and no code operators enable everyone to pitch in.

Stakeholders and analysts collaborate in real-time, and solve problems together live. 

Demo

See how Einblick lets you easily explore data, and rapidly get to predictive insights.

Drag to move around the canvas, scroll to zoom in and out. Or, open the workspace in a free account and try playing around yourself!

Use Cases
With Einblick, your analysis options are limitless. Dive into results using powerful no-code operators 

Target Promotions

  • Identify key drivers of campaign performance.
  • Combine these factors into models that predict customer response rates.
  • Then, use the what-if operator to
    uncover different response and profitability scenarios and determine the next best action.

Perform Root Cause Analysis

  • Whether a store or a SKU, it's not always clear what causes over- and under-performance.
  • With Key Driver Analysis, Einblick can scan across hundreds of characteristics to surface key insights about what differentiates "winners" and "losers."

ML-Based Product Personalization

  • Cross-sell new categories by identifying what your customers want to buy next.
  • Combine CRM data with customer shopping history in Einblick to tailor product recommendations to your customers.

Retain Customers

  • Einblick helps identify high risk / high opportunity customers by identifying the key drivers of churn.
  • Develop models to predict purchasing cycles.

Make Better Real Estate Decisions

  • Avoid building on the wrong sites or with best-in-class AutoML allows you to create more accurate new store growth projections.
  • Set the right new store forecasts.