Restaurant Marketing Platform
Customer data platform to unlock guest insights. WiFi marketing and reputation management to find new guests and turn all guests into regulars.
Tech that bridges guest interactions to insights to results.
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TRUSTED BY 1000+ RESTAURANTS & RETAILERS LIKE:




Case Study: Learn how Jefferson's got back over $250,000 worth of lost guests!
I am a business looking to:
PRIVACY COMPLIANT TOOLS TO
BUILD YOUR CUSTOMER DATA PLATFORM
What is WiFi Analytics?
WiFi analytics is the process of collecting & analyzing customer data from WiFi access points to report KPIs such as customer traffic, dwell time, and churn likelihood.
Even if they don’t log into your WiFi, Bloom captures detailed, valuable location analytics from your guests to unlock guest insights. Make better decisions. Trigger marketing based upon your guest’s behavior, and track marketing campaigns down to someone walking back in your door.
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WiFi Landing Page
Captive portals turn your guest WiFi into a powerful marketing machine.
Captive portals are web pages that guest WiFi users must opt into prior to being given internet access on a WiFi network at a physical location. They can be used for gathering guest profiles, building your customer data platform, promoting downloading your mobile app, menu, and much more.
Once a guest opts in, their device that was once anonymous is no longer anonymous and is associated with your guest’s profile. This allows Bloom to trigger marketing based upon your guest’s behavior and track marketing down to a guest walking back in your door.
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Website
Leverage Bloom’s customer website form builder to embed a form in your website to allow your guests to opt into your customer data platform and marketing.
Ask for your guests’ names, emails, phone numbers, zip codes, age, and postal code to unlock guest intelligence and to automatically build your customer data platform from your website.
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Point of Sales
Bloom integrates with your point of sales or cash register to allow you access to rich guest data and track the impact of your marketing campaigns down to guest transactions.
Bloom integrates with NCR’s Aloha point of sales. Oracles Micro’s Symphony is coming soon. Don’t see the platform integrations that you need? No worries! We do custom integrations as well.
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Online Ordering Marketing
Automatically aggregate guest data from your online ordering platform into your Bloom Customer Data Platform.
Integrate Olo online ordering, Oracle’s Gloria Food, or Revel online ordering to aggregate your guest data into Bloom to unlock 360-degree guest insights and trigger marketing based on your guests’ events on these platforms, such as requesting a review after an order or identifying and bringing back lost guests.
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Reputation
Management
Save time by responding to Google, Facebook, and Bloom reviews with easy-to-use templates from one platform. Automated detailed reporting. Use artificial intelligence to easily identify guest sentiment trends.
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Omni-Channel Marketing AutomationTriggered by Guest Behavior Across Platforms
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Use machine learning to win back lost guests, and increase your customers frequency.
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Automate the building of online reviews on Facebook & Google.
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Reputation management tools use AI to measure guest sentiment & manage reviews in one platform.
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First-party surveys and feedback loops to identify & resolve guest issues before they are lost forever.
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Leverage Bloom to automatically update your restaurant profiles on Facebook & Google.
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Use your Bloom customer profiles to create online remarketing campaigns & lookalike campaigns.
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Online ordering marketing to trigger marketing based on guest behavior in your online ordering platform.
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Proudly display your aggregate online ratings on your website to find new guests.
MARKETING
ATTRIBUTION
Track the performance of your marketing campaigns down to a guest walking back in your door, actual transactions, and even reviews they have posted on Google, Facebook, or through first-party surveys.
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Save Time, Increase Customer Lifetime
Values & Create New Guests What Our Happy Customers Are Saying


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