Bloom Intelligence

Bloom Intelligence is a marketing platform built only for restaurants, and email is one of the tools it uses to bring guests back. It builds one profile per guest from guest WiFi, the POS, online ordering, reservations, the website, reviews, surveys and Google and Meta ads, then sends automated campaigns by email or SMS and counts each return visit at the point of sale. The company calls the whole product a "Revenue Operating System for restaurants", and its footer lists restaurants and diners, coffee shops and cafes, bars and taprooms and fine dining as the businesses it serves.

What a restaurant gets

The foundation is a customer data platform. Guests enter the database automatically when they log into guest WiFi, place an online order, book a table, fill in a website form, leave a review or answer a survey, with, as the homepage puts it, "no loyalty app to download". The platform then matches every visit, order, review and ad click to the same guest across 22+ integrations and scores who is loyal, who is new and who is drifting. The homepage names Toast, OpenTable, Olo, Yelp and Google "+ 18 more sources". Bloom's email marketing guide adds that profiles grow over time through progressive profiling, picking up details such as birthday, age, gender, phone number and postal code alongside every past visit.

Segmentation works on that data. The guide lists geographic location, age, gender, past purchases and buying frequency as ways to split a list, and says you can email different guest personas, including by which location they visit. Every email can go out immediately, on a schedule, or in response to a behavior or demographic trigger.

Automation is the heart of the email side. The homepage says Bloom spots the guest who stopped coming and sends a win-back offer by email or SMS, and that workflows start on a guest's 1st, 2nd, 3rd or 4th visit, or as they enter or leave an audience, then send multi-step surveys and branch on how the guest responds. Bloom's guide walks through the campaigns restaurants build this way:

• At-risk guests: the platform flags guests likely to stop returning and emails them an incentive or discount code automatically.
• Birthdays: an email a few days before the date with an offer such as a free drink or dessert.
• Loyalty rewards: because the WiFi system senses visits, a reward email goes out when a guest reaches a visit count you choose.
• First-time visitor return: an automatic email after a guest's first visit, with return rates shown in the dashboard.
• Feedback and ratings: after a visit, the system waits a set time, asks for feedback, and can follow a bad experience with an apology and an incentive; another email sends happy guests to Google, Yelp, TripAdvisor or Facebook to leave a rating.
• One-off campaigns: holidays, gift cards, take-out and delivery, online ordering, a new mobile app, events, new menu items and a monthly newsletter.

The guide recommends A/B testing one change at a time (subject line, image, button color or message) and describes smart coupons: a unique, one-time code sent to a guest and redeemed on the next visit.

Reporting tied to real visits

The part Bloom stresses most is how it measures a send. The guide says campaign reports show total emails sent, open rates, clicks, coupon redemptions, the number of guests who returned and their value, plus ratings and reviews given. The homepage says every result is checked against real orders and reservations, and its pitch to marketing leaders is "Every send measured in visits, not opens". For managers, Bloom can surface falling visits, rising churn and complaint clusters by location, and managers can email or text a guest one to one from their own account.

Beyond email

The same guest profile feeds three other areas Bloom calls revenue loops. Sentiment answers reviews on Google, Yelp, Facebook and Tripadvisor in the restaurant's brand voice within minutes. Operations flags a location or dish that is slipping. Discovery builds the restaurant's website from guest data so search engines and AI assistants recommend it, and the Agentic Ad Manager runs Google and Meta ads and counts only revenue matched to real orders. Bloom describes its AI agents as following "your rules and your brand voice", and says a Restaurant Agentic Operating System is rolling out in beta, with the Agentic Ad Manager as the first agent already live.

If a restaurant already uses another sender, the guide says Bloom "integrates with all major email marketing providers, such as Mailchimp, Constant Contact, and Emma", and also has email tools built into the platform.

Figures Bloom publishes

The homepage states 108M+ verified guest records across 1,000+ restaurants, 88M+ WiFi sessions, 99.3% client retention, a 72 NPS and a 4.9 rating on Google and 4.6 on G2. For the email and SMS win-back work, it says 38% of at-risk guests are recovered across Bloom restaurants and gives $53,000+ as the average revenue recovered per location; the older email guide gives "up to 35%+". Bloom also reports from its own network that 77.4% of guests never order a second time and that guests who order one to four times still drive 59.3% of tracked order revenue. A footnote says these are published Bloom results that "may not be the same for every restaurant".

Named case studies on the homepage include Corky's Kitchen & Bakery (+60,000 new guest profiles and 50% database growth across 18 locations with one marketer), Beachside Hospitality (15 to 20 hours a week saved on review responses), HaVyn Group (5+ years on Bloom), Roka Akor (first on Google for "Japanese steakhouse Chicago", with 44.8% of website sessions from organic search) and Marigold Maison ($978 in August 2026 Google and Meta ads matched to $30,688 in tracked sales).

Pricing, onboarding and support

The homepage FAQ answers the price question with "See the pricing page for current plans, or ask for a quote during your demo." Onboarding is white-glove: the Bloom team connects your POS, WiFi, online ordering, reservations, reviews and website for you. The demo is a 30-minute walkthrough built around your locations. Sales can be reached at 727-877-8181 or sales@bloomintelligence.com, and the site links a help center with guides and tutorials.

Who it suits

Bloom suits a restaurant group, a cafe chain or a single busy venue that wants email and SMS to run on who actually walked in, ordered and came back, rather than on a signup list. The WiFi capture and POS matching make most sense for multi-location operators; Corky's example of one marketer running 18 locations shows the intended scale. A restaurant with no online ordering, reservations or guest WiFi feeds the profile less. A business outside food and drink, a newsletter publisher, or anyone who wants a plain campaign editor with a published price list is not who Bloom is built for.