Luta Beauty x SAS Case Study Image Source
Pro tip: During the checkout process, always analyze customer sentiment. If you notice they’re hesitant, ask your AI to suggest a less pushy, more engaging CTA, such as “Are you sure you want me? Let’s take a look” instead of “Buy now.” This subtle shift can resolve purchasing anxiety and increase conversion rates.
Analyze customer behavior
AI is very good at sifting through vast amounts of customer data—website visits, app interactions, social media activity, purchase history, email clicks, and more.
It maps out the different touchpoints your customers interact with during the buying process so you can identify any roadblocks or friction points in your customer journey.
It can also analyze a customer’s
Purchasing history to identify products that the customer is likely to purchase together. You can use this information to create targeted upsell and cross-sell campaigns to increase average order value.
A very good tool is Adobe Mortgage Protection Telemarketing Leads Customer Journey Analytics, which provides insights into the customer journey across various channels (online and offline). It offers connection data and unlimited customer data collection. And you get contextual insights instantly, which is a huge advantage.
Adobe customer journey analysis
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Pro tip: Try using HubSpot’s behavioral targeting tool to create segmented lists based on personas and engagement. Additionally, the tool helps identify and respond to high-intent behaviors such as website visits, email interactions, and form submissions.
Behavioral Targeting for HubSpot
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Predict audience behavior
One of the biggest advantages of artificial intelligence is its ability to predict audience behavior and pinpoint customers who are very interested in taking certain actions or those who are at risk of churn (unsubscribe or stop using your service).
For example, Google Analytics and
Its predictive audiences are perfect for this purpose. Predictive likely to take a specific action, such as making a purchase soon.
It includes users with a higher
Probability of performing a specific Lead Generation in Strategies action. For example, “Likely to Buy in days” includes those with a higher probability of purchasing. Adding additional criteria can further refine your audience.
Google AI Insights Predicting Audiences Image Source
Pro tip: Work with industry experts and trend forecasters to develop “what if” scenarios for your customer journey. Explore potential disruptions, changing customer expectations, and even the impact of new technologies.
Artificial Intelligence Status Report
New research on how marketers are using artificial intelligence and key insights into the future of marketing.
