Plus, True Classicâs post-purchase experience and how it drives revenue
There are a lot of reasons to reassess your martech stack. Best case scenario: Youâve outgrown it because business has increased so much. Whatever the reason, before you pull the plug on a particular solution, consider these three ideas from contributor Michelle Tackabery. Also today, we look at a brand, True Classic, thatâs seen tremendous growth since launching just before the pandemic. With all the plates spinning, the company wanted to give its customers a better post-purchase experience that included accurate delivery times. As a result, more good news â happy customers purchased more. Chris Wood Editor | | |
Marketing technology | | Understand if it's time to move on by evaluating solution fit, looking into your vendor's plans and exploring the competitive landscape. | | |
Customer experience | | The company increased customer satisfaction with the aid of a tool by parcelLab that provides accurate shipping and delivery updates. | | |
Marketing artificial intelligence (AI) | | New features include in-app text-to-image generation and the use of reference images that can match brand styles and themes. | | |
Customer data platform (CDP) | | Having a vision for your data is critical for any marketing strategy. And building a trusted data foundation is the first step in executing on that vision. | | |
MarTech webinar | | Learn how to deliver consistent and personalized experiences across channels that bridge the gap between digital and face-to-face marketing and beat out the competition. | | |
Marketing analytics | | The importance of predictive analytics in marketing continues to grow as brands try to get ahead (and stay ahead) of the customer. | | |
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MarTech intelligence reports | | Learn best practices for creating more relevant, personalized emails with the newest AI-powered platforms using this marketerâs resource. | | |
Customer experience | | The family restaurant chain uses PAR Technology to bring together ordering, dining in, loyalty perks and data. | | |
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