Contextual Advertising with Machine Learning

Contextual Personalization in Advertising is Changing ●

While traditional ad spending has decreased, digital spending is expected to increase by 6% year over year in 2020.

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Businesses naturally expect to see results from all of their spending, whether it's in the form of ROI, increased conversions, or a higher lifetime customer value.

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Even as marketers embrace digital, the landscape is shifting. New technologies are emerging and taking the place of old ones.

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Artificial intelligence (AI) and its applications in digital marketing are one example.

AI is a mature technology, even if it is not widely used.

Demand for Cookies ●

At the start of 2020, the big tech companies dropped a bombshell: a two-year phaseout of cookies in their web browsers.

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Some marketers may be concerned about the end of cookie technology.

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With GDPR, CCPA, and other laws restricting the specific data businesses collect from customers, contextualization provides a way to personalize without requiring personal information.

Tailor the Messages ●

Contextualization may necessitate a bit more work for marketers initially.

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However, the granular results that may be obtained through this form of customisation may result in increased sales and business impact.

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A marketing solution that uses artificial intelligence can help your organization reach its goals of improving marketing ROI, lifetime customer value, or incremental discussions.

Chatbots are More than Just Talking Machines ●

The internet is becoming a place where people converse with one another rather than at them.

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In 2019, 33% of American adults interacted with businesses via chat.

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34% of people said chatbots were useful for answering inquiries, 29% consider it excellent for receiving thorough answers, and 27% said they were good for customer service.

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Using chatbots into conversational advertisements has huge promise.