Productivity improvement with Iterable's Smart Ingest
The Dyrt
From backpackers to glampers, everyone camps in their own way. Some prefer multi-day hikes. Some don’t even leave their campgrounds, opting for the serenity of just being away from it all. For years, campers struggled to find readily accessible campground information beyond official websites and word of mouth.
And then The Dyrt came along—a community-driven hub for outdoor enthusiasts to share their camping stories and tips for making the most of campgrounds. As their founder, Sarah Smith says, “Looking at review platforms like Yelp or TripAdvisor, we thought: Why can’t this exist for the outdoors?”
If ever there were a group of people who felt a sense of community, it’s the campers in all of us. The only question became how The Dyrt would connect with such a widespread group of people.
A Campground for Every Camper
The Dyrt quickly drew an engaged audience of information-hungry campers from all over the U.S. And as with any business-oriented around community reviews, the Dyrt looked to provide personalized recommendations to each user. Personalizing at that scale proved challenging. There are countless factors to consider for each camper. Are they staying in a tent? Cabin? RV? Are pets allowed? Is there phone service? Is drinking water available?
The Dyrt’s mobile app allows these filters to be applied to searches, but when marketing to the individual, the company found it difficult to include this information in its messaging at scale and on every channel.
Driving Recommendations Through Catalog
The Dyrt’s recommendation engine is driven by user behavior and the filters they apply. This information is then added to a collection in Iterable’s Catalog to create personalized recommendations.
Relevancy is the key. No one wants to learn about a campsite that is unable to accommodate their wants and needs. And so, the Dyrt is using Iterable’s data management capabilities to identify user preferences and provide hyper-personalized recommendations.
With Catalog in use, campers are now receiving messages with the best campsites based on their specific preferences, such as location and type of campground.
To increase the effectiveness of the recommendations, the company has broken through the common problem of data silos between channels and has begun using Catalog insights to inform both email and mobile messaging.
The Perfect Push per Person
Campers are always on the go—or at least looking for the next adventure. The Dyrt understands this and built a comprehensive mobile app, which includes mobile marketing strategies and gamification to ensure campers never miss out.
In order for each user to receive the perfect set of recommendations on their mobile device, The Dyrt worked closely with Iterable to ensure the right message found the right person. Tapping into Iterable’s data flexibility and depth of API capabilities, the company built a use case that is best suited for their business needs, as well as those of its customers.
As mentioned, the Dyrt utilizes the information for Catalog to build out its recommendations for push notification campaigns. From there, the company works with react native libraries to identify the activity types for each push notification, such as if the message has been received versus if it has been opened. Iterable then sends a JSON payload allowing for customization of the push with rich push features like imagery.
The Dyrt then tracks push open rates through easy-to-use APIs. With this flow of data in place, the company is able to more closely monitor user behavior at each stage to inform the success of future campaigns.
The Results
Providing relevant recommendations shows users you’re paying attention. The Dyrt has built a trusting relationship with its users through this process, ensuring users can easily find their dream campsite. And the results have shown this level of care and understanding leads to loyal, longer-term users.
"Iterable has made it extremely easy for us to execute and optimize sophisticated engagement campaigns with minimal engineering support." Read more