See the shoppers you've been missing
From loyalty program limits to first-party data constraints, retailers lack visibility into anonymous in-store shoppers. Growth strategies are often built on a tiny, skewed subset of customers, leaving opportunity and revenue on the table.
Bridg closes these gaps, giving retailers the data they need to generate fuller insights, run smarter campaigns, and unlock valuable new customer segments.
Retail faces unique challenges
The in-store channel still accounts for 80%+ of retail sales and serves as a critical marketing and brand experience. Yet without consistent identity signals or widespread loyalty adoption, it produces volumes of transactional data that can’t be tied back to individual shoppers or used for meaningful insight and measurement.
The loyalty loop
If every first-time customer joined a loyalty program, retailers could personalize onboarding and retention from day one. Instead, most shoppers remain anonymous, driving inefficient tactics like discounting full-price buyers or targeting low-value customers for loyalty acquisition. What if retailers could understand shopper value and intent from the very first visit?
You can't stop what you can't see
Churned customers represent wasted marketing spend, but they’re also the hardest to understand because they were never identified in the first place. Retailers lack the data needed to see early signs of disengagement or understand how shopping behavior changes before churn occurs. As a result, prevention and win-back efforts are broad and inefficient.
How does it work?
Overcome declining signals from contactless payments
With contactless payments now accounting for 50% of transactions and growing, retailers are losing the signals they rely on to connect customers to purchases. Bridg’s Identity Graph restores match rates and helps you reclaim actionable customer insights.
Upgrade legacy in-store identity approaches
Rectify your trade area append solution with a transaction-based, in-store identity platform and gain confidence in your customer data. Improve deterministic match rates to paid media destinations and make every marketing dollar more precise.
Run AI Agents on more complete data
Give your AI agents the full picture. Bridg fills the in-store gaps in customer data, turning transaction fragmented signals into complete profiles that power better decisions and campaigns.
Unlock a broader picture of your customers
Bolster deeper understanding of your entire customer base with 140+ demographic, socio-economic, and interest-based attributes that power smarter insights, segmentation, and lookalike modeling.
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Resources
3 reasons you need a 1P data strategy – with or without cookies
The cookie may live on, but targeting and personalization strategies that rely solely on third-party insights will not. Read our blog to learn more.
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Myth #5: Onsite is the place to be
Spoiler alert: if you’re launching a retail media network, onsite media isn’t the only place to be. Learn more in Part 5 of our RMN series.
Why Brands Don’t Need to Hesitate on RMNs
Brands are expressing reluctance to buy RMN ads, but with the right partner ecosystem, retailers can inspire newfound optimism.
Myth #4: You Don’t Need to Invest in a Full Tech Stack
Contrary to popular belief, a comprehensive tech stack is a non-negotiable for retailers launching retail media networks. Learn more in Part 4 of our RMN series.
What’s on the horizon for retail media networks? 5 Emerging Trends
As the RMN market continues to evolve, how can you grow your revenue moving forward? Explore new trends & tactics.
Myth #3: Retailers already have the data they need to launch an RMN
Retailers already have the data they need to launch an RMN, right? Wrong. Find out why in Part 3 of our RMN series.
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