Wildfire was a social media advertising management software application that was acquired but since discontinued by Google.
N/A
SessionM
Score10 out of 10
N/A
SessionM is a customer engagement platform that combines customer data management, loyalty program and offer management, and cross-channel campaign management (SMS, email, push, and in-app messages).
SessionM is ideal for enterprise restaurants, brands, and organizations to build and drive loyal behaviors via technology platforms. They've built their system via robust APIs integrations, but are now diving into a white label app system that allows smaller brands (100 units+) to utilize their incredible technology in their own brand, as opposed to just bigger players. They're the best at what they do.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Using data science to determine guest tendencies and actions: their system is incredibly smart and tracks historical actions to guess/estimate future actions, and creating programs to influence those actions.
Integrated communication platforms to speak to all of our guests within various tactics—email, push notifications, text messages, in-app messages, etc.
Loyalty management & CRM: creating and managing a program that runs consistently across the system.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Our initial contract with Wildfire Whitelabel was for $30,000/year, as we progressed we found several alternatives for significantly less. We used this to our advantage to lower the second year to $17,000 with the limitation in the level of support (they call this their "core" subscription). Support has been quite bad.
During our contract, we also asked for quotes on some custom work, but never managed to get an answer (or actual quote). Now two years into our contract, the limitations and lack of development are enough for us to find a different solution. Newcomers to the market like Rafflecopter, WooBox and PunchTab are delivering much better results for a fraction of the price
Gave me a thorough rundown on everything the software does. Sometimes it is difficult to run through it all over the phone/internet, but I was able to figure it out myself.
Wildfire was a merely an adequate social media tool when it existed as a standalone, but it just couldn't compete against other players like Sprout, Falcon, and Sprinklr.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
SessionM was light years ahead of Fishbowl, in the data science tendency assumptions that are built into the system, plus they don't offer an app for your brand to use. You'd have to employ a 3rd vendor to manage that. It's also important to note that SessionM sees ALL guests and POS content in the system, not just loyalty identified transactions.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Our work with SessionM has been so incredibly impactful to our brand loyal guests, and the value they bring to our brand. For example, our loyal guests are worth $100+ more than our non-loyalty guests.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info