SessionM vs. Twilio Segment

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.

Incentivized

Best suited: - Merging emails coming from: Facebook leads forms, Unbounce or landing pages forms, Google forms, any other kind of lead generation tool and bundling all that information together for a single user "profile". - Passing events generated in multiple applications by the same user (product selected in web, product discarded in cart, etc) and delivering those events into other applications (like a CRM) Less appropriate: - Reading/updating data directly from segment from a frontend application

Incentivized

• 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.

Incentivized

• Unmatched insight into the customer journey when they come into contact with our business.
• The ability for it to break down data in a way that allows us to analyse customer engagement.
• It efficiently integrates with my current softwares eg Shopify.

Incentivized

• Some improvement could be made on their integrations process with all platforms (olo, monkey media, etc.).

Incentivized

• Potentially, it could "warn" the developers/product about areas in our code that are not covered by events (and let us decide if it's "be design" or we missed it).
• It's difficult to get accumulated history data exported out in order to analyze it.
• There's no easy way to compare data from 2 sources (our main target is to compare the same events between our test environment and prod environment).

Incentivized

Over the period it took us to set up, we kept going back to their enablement team to help us with the setup, and they were always ready and were very helpful in the entire process. Even with their documentation, they took the time out to help us work through the process. We've never had a message/email unanswered for more than an hour on working days.

Incentivized

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.

Incentivized

Segment is not really suitable for most websites that have more than 10k MTU - If you run a semi-popular website, there are many tools out there that will do basic web analytics, like Google Analytics. Google Analytics provides simple resources for tracking user growth, demographics, and conversion rates of websites, which is more suitable for companies that are looking for simpler analytics data.

Incentivized

• 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.

Incentivized

• Event tracking lets you take ownership of your own data, which in part makes it easy to craft metrics and do deep dives to see how your product is working. This has a huge ROI, because without metrics you're basically flying blind.
• You can also use Segment's event tracking to fuel your experimentation and AB testing strategies. AB testing is the best way to ship features in a tech product with confidence that you're making a positive impact.

Incentivized