Future Now: Using Data to Create Repeat Customers and Draw Back Lapsed Customers
Customer loyalty and retention is a hot topic regardless of industry, but for arts, festivals and theatres, where funding it is getting squeezed day by day - it is critical to retain customers when you can. There are two strands to retention in this sense - how do we keep customers coming back (e.g., drive repeat purchases) and how to we draw back lapsed customers (e.g., customers that used to buy and no longer do)?
Keep Customers Coming Back for More
In order to enticing customers to become repeat customers, we need to do two things:
- Encourage cross purchasing or higher value purchasing during the purchase journey and,
- Create post-purchase targeted, behaviour driven campaigns that attract them back for more.
Talk to Them When They are Buying
When is the best time to increase the value of your customer’s basket? Right when they are on your site of course! With Ticketsolve this is dead easy; recommendations based on the purchase, or add ons such as drinks or meals are all automatically presented to customers during the purchase process. This type of cross selling and upselling right during the customer journey is a great way to promote more of the things your customers want.
Encourage Customers to Come Back For More
If you use Ticketsolve, then you know you the system helps to collect vital patron data that you can use to create targeted post purchase campaigns. These messages can be used to draw customers back for more - and can be tailored to each segment of your audience.
For example, using our Mailchimp integration, you can set up an automated post purchase email. This means, that as soon as a customer purchases a ticket, kicks off an automatic Mailchimp trigger for a “post purchase” email to be sent. This email should thank them for their purchase of course, and it can also include other show recommendations, cross purchase options (concessions, merch etc.), etc. Importantly, you can set this to trigger automatically with the Ticketsolve integration - so it couldn’t be easier.
Then using your Ticketsolve data, you can track your post purchase campaigns from opens to click throughs to purchase, so you can see how you are doing. This gives you a chance to tweak your campaign, segment your audience if you need to and try again. You might even consider A/B testing earlier to get a feel for what works best.
Still, even with the best recommendations in the world, some customers will lapse. Using data, we can look at re-engaging these customers.
Show Lapsed Customers The Love
Purchase Frequency
First, we need to determine what the average time is between purchases. Now this may be tricky depending on the buying patterns of your patrons. Do they tend to buy for the season or do they buy more ad hoc? Do you see a spike in purchasing right after a show for other shows?
Average purchase frequency can give you a sense of when a customer is "lapsed". So if it is 11 months between purchases for your patrons, those who fall outside of these parameters can get a targeted message. You may want to also consider splitting the groups here further.
Repeat customers may have a shorter time frame between purchases, than new customers. Are there any repeat customers who then become lapsed? In this way you can now determine, with data, specific times to send messages.
RFM Analysis
Now what about recency, frequency and monetary analysis of customers? This is really interesting information to understand total number of purchases and the total lifetime purchases per customer. This gives an even deeper view into lapsed customers and their behaviours.
Perhaps you have customers who buy infrequently, but buy a lot - they are not necessarily lapsed, but just purchase differently. Still other patrons bought a lot once, but haven't bought since. Each of these types of patrons can be identified and targeted (especially easy to do if you have Ticketsolve :) and with our MailChimp integration you start working on winning those lapsed customers back.
What Messages to Use?
While even a simple, "We've Missed You" campaign is useful, using other data such as previous purchase history or timing can let you target your message more effectively. Current recommendations based on previous purchases or perhaps discounts or even complimentary items are excellent ways to welcome back lapsed customers.
While this is only one strand to customer retention and lapsed customers, using data to create targeted campaigns and segmenting your lapsed customers can help you zero in on those customers with targeted messages and campaigns.
We will be taking a closer look at remarketing which can also help with your win back campaigns.
Looking forward to seeing everyone at AMA on Wednesday!
Categories
Recent posts
- Counting Down to AMA Digital Marketing Day: Let's Talk 'Being Human'!
- London Museum’s Digital Transformation: A New Era with Ticketsolve
- Networking: Building Your Tribe for Personal and Professional Growth
- Discover the Secrets Behind the Success of the Book of Kells Experience
- Unlock Efficiency and Engagement with Ticketsolve’s Email Automation Features
Archive
- November 2024 (4)
- October 2024 (4)
- September 2024 (7)
- August 2024 (5)
- July 2024 (3)
- June 2024 (3)
- May 2024 (4)
- April 2024 (3)
- March 2024 (4)
- February 2024 (5)
- January 2024 (3)
- December 2023 (3)
- November 2023 (4)
- October 2023 (4)
- September 2023 (5)
- August 2023 (3)
- July 2023 (4)
- June 2023 (4)
- May 2023 (5)
- April 2023 (4)
- March 2023 (4)
- February 2023 (5)
- January 2023 (4)
- December 2022 (4)
- November 2022 (3)
- October 2022 (4)
- September 2022 (5)
- August 2022 (2)
- July 2022 (4)
- June 2022 (5)
- May 2022 (4)
- April 2022 (5)
- March 2022 (3)
- February 2022 (4)
- January 2022 (4)
- December 2021 (2)
- November 2021 (3)
- October 2021 (5)
- September 2021 (4)
- August 2021 (4)
- July 2021 (3)
- June 2021 (4)
- May 2021 (2)
- April 2021 (4)
- March 2021 (5)
- February 2021 (4)
- January 2021 (5)
- December 2020 (4)
- November 2020 (4)
- October 2020 (5)
- September 2020 (5)
- August 2020 (4)
- July 2020 (7)
- June 2020 (5)
- May 2020 (5)
- April 2020 (5)
- March 2020 (8)
- February 2020 (4)
- January 2020 (5)
- December 2019 (3)
- November 2019 (5)
- October 2019 (4)
- September 2019 (4)
- August 2019 (5)
- July 2019 (4)
- June 2019 (4)
- May 2019 (5)
- April 2019 (4)
- March 2019 (4)
- February 2019 (3)
- January 2019 (5)
- December 2018 (4)
- November 2018 (8)
- October 2018 (2)
- September 2018 (3)
- August 2018 (5)
- July 2018 (4)
- June 2018 (4)
- May 2018 (1)
- April 2018 (1)
- March 2018 (3)
- February 2018 (2)
- December 2017 (2)
- November 2017 (3)
- October 2017 (4)
- September 2017 (2)
- August 2017 (1)
- July 2017 (5)
- June 2017 (3)
- May 2017 (2)
- April 2017 (3)
- March 2017 (2)
- February 2017 (3)
- January 2017 (3)
- December 2016 (4)
- November 2016 (1)
- September 2016 (1)
- July 2016 (3)
- June 2016 (1)
- May 2016 (2)
- April 2016 (2)
- February 2016 (1)
- January 2016 (3)
- December 2015 (2)
- September 2015 (1)
- August 2015 (2)
- July 2015 (1)
- June 2015 (2)
- May 2015 (2)
- April 2015 (5)
- March 2015 (2)
- February 2015 (2)
- January 2015 (4)
- December 2014 (3)
- November 2014 (3)
- October 2014 (2)
- September 2014 (3)
- August 2014 (3)
- July 2014 (3)
- June 2014 (7)
- May 2014 (6)
- April 2014 (3)
- March 2014 (2)
- February 2014 (1)
- January 2014 (3)
- December 2013 (1)
- August 2013 (1)
- June 2013 (1)
- April 2013 (1)
Sign up for regular updates