DATA-DRIVEN RESTAURANT MARKETING SOFTWARE
Drive Guest Engagement, Same Store Growth and Loyalty
Guest Analytics and Engagement Solutions
for Restaurant Chains
Guest Analytics and Engagement Solutions for Restaurant Chains
DRIVE TRAFFIC TO YOUR RESTAURANT
INCREASE PURCHASE QUANTITY
ENCOURAGE DIFFERENT DAYPART MEALS
PERSONALIZE EXPERIENCES IN REAL TIME
ENHANCE THE MOMENT OF TRUTH WITH BEHAVIORAL ANALYTICS
35% of your guests order online
65% of your guests only order online
Prefers convenient orders for one person and lives alone
Opportunity
Personalize online interface
Action
Display personalized banners for Joe when he is ordering online
For example: Sides, Beverages, and Combo recommendations based on his previous purchases
Online Only
joe
INTEREST CUSTOMERS IN THE NEIGHBORHOOD TO WALK IN
22% of guests have downloaded the app
Only visit restaurants in public places, like malls
Prefer non-standalone restaurants
Opportunity
Engage when the customer is in close proximity to the restaurant
Action
Identify when the customer enters a mall that has our restaurant
Send them a Mobile app notification offering a discount
Occasional Buyer
gary
USE INSIGHT TO OFFER MORE MEAL/MENU OPTIONS
Buys coffee on the way to work, everyday
Opportunity
Add other meal occasions
Action
Trigger a promotion after the checkout of the morning transaction
Offer a discount on a meal when she is returning back from work
Daily Customer
sarah
UNDERSTAND AND ENGAGE EACH GUEST UNIQUELY
Visits once a month, on weekends
The customer is a discount seeker
Opportunity
Increase Guest Frequency through personalized promotions
Action
Generate offer and product recommendations
Offer discount on Kids meal every Friday, promoting a weekend visit
Family buyer
holly
- Real Time Engagement
ENHANCE THE MOMENT OF TRUTH WITH BEHAVIORAL ANALYTICS
Joe
Online Only
Joe is a guest who orders only online,
35% of your guests order online
65% of your guests only order online
He prefers convenient orders for one person and lives alone
Opportunity
Personalize online interface
action
Display personalized banners for Joe when he is ordering online
For example: Sides, Beverages, and Combo recommendations based on his previous purchases
- Location Based Marketing
INTEREST CUSTOMERS IN THE NEIGHBORHOOD TO WALK IN
Gary
Occasional Buyer
22% guests have downloaded the app
Only visit restaurants in public places, like malls
Prefer non-standalone restaurants
Opportunity
Engage when the customer is in close proximity to the restaurant
Action
Identify when the customer enters a mall that has our restaurant
Send them a Mobile app notification offering a discount
- Occasion Based Marketing
USE INSIGHT TO OFFER MORE MEAL/MENU OPTIONS
Sarah
Daily Customer
Buys coffee on the way to work, everyday
Opportunity
Add other meal occasions
action
Trigger a promotion after the checkout of the morning transaction
Offer a discount on a meal when she is returning back from work
- Personalized Marketing
UNDERSTAND AND ENGAGE EACH GUEST UNIQUELY
Holly
Family buyer
Visits once a month, on weekends
The customer is a discount seeker
Opportunity
Increase Guest Frequency through personalized promotions
Action
Generate offer and product recommendations
Offer discount on Kids meal every Friday, promoting a weekend visit
Restaurant Marketing Success Stories
Increase Same Stores Sales
Increasing Guest Frequency in Restaurants
HELPING OUR CLIENTS WIN
OVER 200 CLIENTS ACROSS 23 COUNTRIES WORLDWIDE
Manthan’s analytic solutions provide the edge businesses need in
order to compete in a digital world
10%
Increase in guestvisit frequency
15%
Increase inmarketing lift
8%
Decrease incustomer churn