New webinar introduces customer identity-first approach to measuring marketing across retail, ecommerce, and Amazon
A growing number of midsize retail and ecommerce brands are making marketing decisions based on incomplete or misleading data, according to Retlia, a retail data platform provider.
The company is hosting a live webinar, “Your Marketing Stats Are Lying About ROI: Attribution By Identifying Customers,” to address what it describes as a systemic flaw in modern marketing measurement systems.
| Webinar May 28th, 10am MDT |
| Learn how midsize retailers are measuring marketing |
| Register Here |
The core issue: attribution models rely on fragmented customer data.
“When the same customer appears as multiple identities across systems, attribution breaks before it even starts,” said Nick Wynkoop, Co-Founder of Retlia.
Traditional attribution tools depend heavily on trackable interactions such as clicks, UTMs, and platform data. However, these methods fail to capture large portions of revenue, particularly for brands selling through retail stores, wholesale partners, and marketplaces like Amazon.
This creates a significant blind spot.
“Most companies are optimizing marketing spend based on partial visibility,” said Dean, Technical Co-Founder of Retlia. “Retail, offline, and delayed purchases are either missing or misattributed.”
The webinar introduces a customer identity-first marketing attribution approach, combining multiple methods:
- Direct attribution using UTMs and promo codes
- Indirect attribution using matchback and test/control analysis
- Multi-touch attribution to distribute influence across channels
- Macro-level measurement for retail and wholesale environments
This unified approach allows brands to measure marketing impact even when transactions occur outside of trackable digital channels.
The session will also explore how a Marketing Attribution Data Warehouse can unify data across systems, enabling more accurate reporting and better decision-making.