Martech
APRIL 22, 2022
Artificial intelligence (AI) in marketing leverages machine learning to make automated decisions. With AI, brands can boost the ROI of marketing campaigns through predictive modeling, advanced segmentation, and personalization. In this piece, we will dive deep into the value of AI technologies in marketing. AI chatbots.
Econsultancy
FEBRUARY 4, 2022
As a result, marketing analytics will continue to grow in importance over the coming years. But with marketing budgets still being limited to a certain degree, what should be prioritised? Bringing marketing analytics tools to the masses. Marketing analytics benefits all.
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Martech
NOVEMBER 15, 2023
To many non-marketing executives, marketing is perceived as more of a “nice to have” than a “must have” function. As a result, when it comes time to reduce expenses, marketing becomes the obvious place to start. Dig deeper: How brands should react to market slowdowns Self-correction? Calculate any ROI metrics.
Use Insider
APRIL 17, 2023
For most brands in the market, personalization means the ability to recommend the right product to the right user. Brands typically rely on using historical and behavioral data to personalize the customer experience on-site with data-driven recommendations.
Martech
MARCH 29, 2023
“We announced that we are offering a full suite of conversational marketing capabilities, so for automating conversations on your website, and to pass a live conversation through to a sales rep, to be able to continue that conversation,” he explained. “That was the primary use case.”
CXL
JUNE 16, 2022
Recommending additional products or services can help customers solve problems while upping their investment. This will improve customer lifetime value (CLTV), making customer acquisition costs (CAC) healthier. Here are some examples of brands that nail selling without forcing it and what you can learn from them.
Use Insider
FEBRUARY 16, 2022
Customers are like bullfrogs — they jump from one surface to another in order to find what they are looking for. You probably filtered selections on a brand website, scrolled through an Instagram store and jumped between multiple shopping apps before making a decision—and you’re not alone. When are customers leaving?
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