Dee Dee Wolverton, Author at Airship

Introducing Journey Maps

Dee Dee Wolverton — Thu, 02 Apr 2020 15:00:00 +0000

In November, we launched Airship Journeys, our groundbreaking customer journey solution. Today, we’re building on Journeys’ powerful simplicity, intuitive management, and data-driven performance with a new feature, Journey Maps.

Journey Maps makes it simple for marketers and products to:

Link Journeys together to advance customers through lifecycle milestones, ensuring a cohesive experience with every touchpoint
Visualize the end-to-end user experience and dive into any Journey to optimize performance and ROI with just a few clicks
Drive ongoing growth by evaluating different paths customers take within a lifecycle — and add new Journeys to proactively reach customers who are likely to churn

Journey maps make it easy to link customer journeys together, see how they’re performing, and add new journeys as needed

In the example above, you can see how mapping works for re-engaging at-risk customers. Using Journey Maps, messaging for the original segment (users who were identified as having a high risk of churn) has been segmented into two groups based on what action users took — or didn’t take.

Users who viewed a product detail page are routed into a new journey with a special offer motivating them to add the product they viewed to their cart and move forward with a purchase, while users who did not take any steps toward making purchase get a double rewards offer to motivate them to re-engage.

This visual way of working with users at different stages of the lifecycle makes automated, scalable lifecycle marketing simpler and easier than it’s ever been.

Ready to get started? Get in touch anytime — we’d love to walk you through a personalized demo and show you how Journeys can make every customer journeys simple to create, measure and perfect.

Let’s Connect

See how Journeys can help you!

Get a personalized demo today!

The post Introducing Journey Maps appeared first on Airship.

[Upcoming Webinar] How QSR, Fast Casual and Restaurant Brands Can Create Incredible Customer Experiences

Dee Dee Wolverton — Fri, 18 Oct 2019 20:20:50 +0000

The restaurant industry moves fast, and not just in food delivery. Customer expectations also change rapidly, especially when it comes to connecting with customers. PWC found that more than 35% of customers wish that the restaurant ordering experience was more digitized and a survey found that 45% of consumers say that offering mobile ordering or loyalty programs would encourage them to use online ordering services more often.

For restaurant brands that want to create amazing customer experience for their customers, Amir Zamanian and I will be hosting the webinar, “How QSR, Fast Casual and Restaurant Brands Can Create Incredible Customer Experiences.”

We’ll explain how you can use mobile to boost engagement and deliver smarter coupons, loyalty cards and more. We’ll also be sharing best practices on keeping customers coming back by understanding what they want and delivering personalized messages at the right time on the right channel.

We hope you join us on October 22! We look forward to giving examples of what top brands are doing and answering your questions. If you can’t make it to the live webinar, you should still register to receive the recording and the slides after the webinar.

We’d love to chat with you on how we can help you create magical customer experiences.

Let’s Connect!

The post [Upcoming Webinar] How QSR, Fast Casual and Restaurant Brands Can Create Incredible Customer Experiences appeared first on Airship.

Introducing Predictive Send Time Optimization

Dee Dee Wolverton — Thu, 20 Sep 2018 11:22:00 +0000

Timing is everything. Make every message more engaging and effective by personalizing send time. Read on to learn more, and get in touch to request a demo anytime!

At Urban Airship we continue to help marketers deliver in-the-moment messages that drive more value for brands and their customers. So naturally we’re thrilled to introduce Predictive Send Time Optimization, the second solution in our predictive offerings (the first was our ever-popular Predictive Churn Solution).

Predictive Send Time Optimization is powered by machine learning — which means it uses individual behavioral signals and continually improves over time. This helps brands send messages at a personalized time — the time someone is most likely to open it.

As we built and tested the model on over 100 hundred pushes that went to over three million users, we found:

Our personalized best time more accurately predicts the hour a user opens a message (50% higher match rate) than our baseline test group.
A moderate to significant increase in direct open rate for the users who received a time-optimized version of a message — with one test showing a 5% higher direct open rate.

So our modeling is working well, and messages using the model to send at an optimized time perform better. What's not to love?

Our beta partners are loving it, and are already deep into their use of the model, including:

One client who has done serious experimentation running A/B tests against different audiences and campaigns with fantastic results so far.
Several customers who have completely switched over to the model for all campaign scheduling.
One major retail brand using predictive scheduling to spread messages out to avoid traffic spikes in their app.

Ready to learn more? Request a demo today!

The post Introducing Predictive Send Time Optimization appeared first on Airship.