Make every guest count
Restaurants serve customers across highly varied occasions from daily breakfast routines to infrequent “treat yourself” visits. Building consistent insights and effective marketing is challenging when many customer interactions remain fragmented and anonymous.
Bridg closes these gaps, giving restaurants the data needed to understand behavior, personalize engagement, and reach new customer segments.
QSR drives conversion rates by identifying unknown in-store customers
When a QSR brand with more than 7,000 locations wanted to target their highest value customers, we gave them the tools to identify tens of millions of unknown in-store customers, as well as their item-level purchase behavior. Once our client had determined the highest-value customers, they also used our closed loop capabilities to measure the impact of paid social ads targeted to these individuals.
34%
Increase in customer conversion rate
5%
Increase in average customer frequency
22%
Increase in average check value
Restaurants have unique challenges
In-app orders still account for <15% of revenue, leaving brands unable to understand millions of non-loyalty or app users. Growth in contactless payments and the loss of identifiable signals powering legacy identity approaches leaves too many restaurant insights and marketing teams in the dark about their moveable middle customer segment.
Serve up new customer growth
Building acquisition strategies on the segment of most engaged, loyal guests may miss critical insights and result in costly strategies like discounts to high willingness to pay customers. What insights could be uncovered if Restaurant brands could see all of their guests clearly?
Fast food, fast churn
In the fast-moving QSR channel, churn often happens before you realize a guest is gone. The majority of churn comes from less-engaged, typically anonymous guests. The key to retention is identifying them faster than you can serve their next order.
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.
Integrate online and 3rd party channel behaviors
Customers enjoy the flexibility of delivery apps, online ordering, pickup, and in-store visits, but this convenience fragments identity signals that were once clearer. By anchoring identity at the credit card transaction level, restaurants can accurately connect cross-channel behavior into a single customer profile.
Unlock a broader picture of your customers
Bolster a 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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