How One Retailer Levels the Playing Field with Amazon
Discover how an apparel-and-accessories retailer leverages an omnichannel customer view in our CDP to create more value for its business.


An apparel retailer with ecommerce and brick-and-mortar stores that uses BlueConic is constantly looking for innovative ways to engage and influence its customers across channels — as well as compete with retail giants 100x their size.
In this webinar, we walk through how the apparel-and-accessories retailer in question leverages an omnichannel customer view that combines the power of online behavioral data, POS data, and predictive CLV and RFM modeling to create more value for the business.
And all without the help of additional business intelligence professionals, data scientists, or analysts.
Watch our webinar to discover how your retail business can:
- Stay competitive with retail giants — even with limited budget, time, and resources
- Create an omnichannel customer view that drives valuable changes for your company
- Successfully leverage a CDP to unlock the potential of your first-party shopper data
Fill out the form to watch our webinar and get on your way to reducing marketing costs and unlocking revenue.
A more practical way to compete
Retailers do not need Amazon-sized resources to improve how they engage customers. But they do need a stronger way to connect the signals they already have.
When online behavior, in-store transactions, and customer value indicators live in different places, it becomes harder to understand the full customer relationship. That makes personalization weaker, decisions slower, and growth harder to sustain.
This webinar centers on what changes when those pieces come together.
What this webinar brings into focus
This session centers on how one apparel retailer is using an omnichannel customer view to support its marketing and customer engagement efforts.
Combining multiple data sources
The webinar walks through how the retailer brings together online behavioral data and point-of-sale data into a more unified view of the customer.
Using customer value modeling
It also highlights the role of predictive CLV and RFM modeling in helping the business better understand and evaluate its customers.
Applying insights without added complexity
The session also covers how this approach is executed without relying on additional business intelligence professionals, data scientists, or analysts.
Why this is worth watching
This is not just a webinar about data infrastructure. It is about how retailers can use an omnichannel customer view to create practical advantages.
If your team is trying to make better use of shopper data, reduce marketing waste, or improve how you engage customers across channels, this session offers a useful example of what that can look like in practice.
Who this webinar will resonate with
This webinar is especially relevant for:
- Retail marketing leaders
- Ecommerce and omnichannel teams
- CRM and lifecycle marketers
- Customer insights and loyalty teams
- Retailers evaluating how to better use first-party shopper data
If your business is looking for more efficient ways to compete, this session gives you a strong example of how better data use can support that goal.
How BlueConic supports an omnichannel customer view
An omnichannel strategy only becomes useful when teams can actually work with the data behind it.
BlueConic helps retailers connect customer data from across channels into a more unified view so teams can use it more effectively across marketing and customer engagement efforts.
With BlueConic, retailers can:
- Bring together online and offline customer data into a more connected profile
- Make shopper data more accessible to business users
- Support audience segmentation using richer customer signals
- Activate first-party data across channels to improve relevance and timing
- Reduce reliance on additional technical resources for day-to-day use
Watch the webinar
Fill out the form to access the session and see how one retailer is using an omnichannel customer view to compete more effectively, reduce costs, and unlock more value from first-party shopper data.
