Reshaping Retail With Data Driven Insights

Aptitive can help create an end-to-end retail analytics solution so you can gain a single view of your customer and streamline time consuming processes with an omnichannel view.

With an easily accessible omnichannel view of your customer you can…

Analyze any KPI from CLV to product margins
Automate customer touchpoints
Examine a holistic view of a customer’s purchase behavior
Predict customer needs

Where We Fit

  • Automate personalized customer touchpoints – Automate actions based on business rules that tailor the customer’s experience to their preferences
  • Structure your Data – Combine data across sources to provide a cohesive omnichannel view of customer behavior from social media interactions to in store purchases
  • Retail Analytics – From using customers’ past and present shopping behavior to enrich in-store and online shopping experiences tp adding advanced analytics like Machine Learning to predict what factors will increase your marketing ROI we have you covered


Retail Analytics

  • Assess your customers’ past and present shopping behavior to present a seamless in-store and online shopping experience
Retail Analytics
Single Customer View & Omnichannel Solutions

Single Customer View & Omnichannel Solutions

  • Consolidate all sources of data, from your CRM Platform to online interactions to see the story of a customer’s relationship with your brand

Improved Customer Targeting

  • Respond to customers as they interact with your company in ways that will encourage them to buy
  • Develop customer cohorts by demographics, psychographics, or behavior to better predict what campaigns might be effective for each group
Improved Customer Targeting
Automated Touchpoints

Automated Touchpoints

  • Want to send a message to your repeat customers when they haven’t purchased on their regular interval? We can do that, without a single minute of your marketing team’s time

Key Benefits

  • Gain a single view of your customer across channels
  • Predict inventory needs based on previous customer behavior
  • Clear and accurate insights into gaps in customer service
  • Schedule interactions with customers based on their preferences and behavior
  • Spend less time wrangling inaccurate and hidden data into reports
  • Reports that reliably present real-time KPIs
  • Quickly and easily analyze online interactions
  • Use machine learning to anticipate customer needs/preferences

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