Why marketers need to jump on the AI bandwagon

  • “Using AI generates a 40% bump in marketing productivity, according to MobiDev figures. The use of algorithmic systems can lead to hours of savings in managing accounts, resulting in greater or equal returns with less budget.
  • In another study, 41% of marketers reported revenue improvements after using AI in their email campaigns, with a 13% improvement in click-through rates on average.
  • According to Salesforce data, 56% of buyers are interested in purchasing only from brands that they perceive as innovative. A set-and-forget strategy may work at creating personalized content to start, but it will need to be monitored to ensure it’s still effective.”


How Tymely combines NLP and a human-in-the-loop approach to improve chatbot conversations

“Tymely claims its AI technology can create personalized messages. Launched in 2022, the company says that it’s building an AI that understands complex human language to improve CX. Unlike most chatbots and other fully automated solutions, Tymely claims it has a human-level understanding of the customers’ language, with its technology being a mix of people and AI.”


What’s SMS Got to Do With Conversational AI?

  • “Various reports show that SMS has a 90% delivery and open rate — much higher than any other channel, and a relatively low unsubscribe or opt-out rate.
  • It’s not SMS itself so much as the landscape around it that’s evolved. Conversational AI tech has advanced by leaps and bounds, integration between systems and data flow capability has improved, as has marketers’ abilities to gather high-quality data and segment and personalize it — and all of it has unlocked new and interesting use cases for SMS marketing.
  • But message relevance is based on the quality of segmentation, which can, in turn, be based on diverse criteria — from date of joining, order category, cart abandons, feedback, etc. SMS allows for a wide array of segmentation options to try different campaigns and optimize what works.”


Why digital optimization is the new digital transformation

  • “The key to a successful digital strategy is understanding what keeps your customers coming back, and then optimizing and personalizing digital experiences based on those insights.
  • Many companies still focus the majority of their efforts on acquiring new customers, which is important for short-term growth, but long-term, sustainable growth requires lifelong customers and brand advocates. When you gain better insight into how your customers engage with your digital products and experiences, you can dramatically improve offerings to increase retention and, ultimately, revenue.
  • Digital transformation must be rooted in cross-functional alignment, particularly when it comes to managing and dispensing data.
  • Data provides much more value to the company if all teams not only can access it, but utilize it to experiment with new ideas and innovate new solutions that customers actually want.”


Challenging Headwinds Loom, Here’s Why Being Data-Driven And Insights-Led Is More Important Than Ever

  • “Sophisticated companies are making good progress connecting internal and external data to create functional insights that can be easily shared and used by decision makers across the business. But two key developments have brought a certain urgency to the question for businesses across the globe.
  • The first is the pivotal nature of this moment for business. Consumer habits and behaviors continue to be shaken up, and longstanding business and operating models disrupted. And with that, we’ve discovered that the ability to use data intelligently to sense and respond to changing market conditions and patterns of consumer behavior has never been more important.
  • The second key development is the rapid advances in real-time data and analytics technologies, specifically artificial intelligence (AI) and machine learning. It means that, rather than simply analyzing what has happened in the past, companies now have the ability to spot new and evolving patterns in the moment.
  • Effective personalization relies on having a cloud-based architecture able to collect and process real-time data to deliver the right contextualized messaging at the right moment through the right channel.”