Marketing efforts often fall short when they do not cater to specific audience segments, leading to generalised messaging that doesn’t resonate with individual groups. Without proper segmentation, businesses miss the opportunity to engage effectively with different customer profiles.
Why we’re better
shopeyeQ Audience Segmentation categorises your customer base into distinct segments, such as "Convenience Shoppers" or "Organic Buyers," using a combination of NIQ panel data and online shopper profiles. This granular segmentation allows businesses to engage each group with personalised messages and product offerings that align with their specific preferences and behaviours, improving campaign relevance and effectiveness.
Empower Your Retail Success
Discover how our platform's advanced features—like dynamic clustering algorithms, real-time insights, and predictive analytics—empower you to drive smarter growth.
Map the customer journey
By combining observation with experimentation, shopeyeQ provides a comprehensive marketing solution that enables more effective and targeted campaigns, delivering the best possible results.
1- Data Acquisition:
- Import NIQ panel data and online platform data.
- Define relevant shopper profiles based on segments such as „Convenience Shoppers“, „Organic Buyers“, etc.
2- Data Analysis (Observation):
- Analyse who has purchased your product and identify potential market segments.
- Assess the reach and size of your target audience.
3- Experimentation:
- Select hundreds of profiles for further investigation and segmentation using the RFM model.
- Conduct A/B tests to filter out the most valuable profiles.
4- Campaign Optimisation:
- Continuously review and adjust target audiences and campaigns based on results and real-time data.
Optimizing Retail Insights
This section presents a series of case studies that demonstrate the transformative impact of POS clustering on retail operations.
Explore Similar Use Cases
Turn Insights into Impact with shopeyeQ
