Artificial Intelligence in Marketing
AI Use Cases to Efficiently Drive Brand Awareness and Customer Engagement
80% of surveyed CROs have formally invested in AI for their marketing teams, yet only 1 in 5 marketing teams are currently using AI to support outreach or planning. What is the best approach to implement AI initiatives that will ultimately drive marketing growth goals?
For marketing, fundamental growth goals center around driving brand awareness and customer engagement with products and services. Improving demand generation, developing qualified pipeline, acquiring new logos and leveraging e-commerce for scale are commonly used growth plays in marketing. AI serves as a growth play “accelerator” being used for:
Data capture and analysis
Use AI to gather and interpret prospect data to understand activities and engagement to inform marketing and product decision. This may include time spent on webpages, social media interaction, and email open and click rates.
Strategy design and execution
Use AI to align outreach timing, content and channel to prospect preferences. This includes predicting what time of the week/day and type of channel(s) a customer is most likely to interact with.
Content and interaction generation
To get more mileage out of content, use generative AI tools to effectively repackage existing content into additional formats (i.e., creating videos, SMS or podcasts from written form content).
58% of revenue leaders are currently using AI-enabled tools
AI Investment is #2 Marketing priority in 2024, behind Lead Gen Roles
Around 80% of revenue leaders are keeping flat or increasing 2024 Marketing spend
Commercial Organizations are Investing in AI; Implementations are Ongoing
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The journey to effective AI implementation begins with understanding your goals and leveraging the right tools to achieve them.
Interested in more AI use cases for marketing and the AI tools that are aligned to drive awareness and engagement? Download a preview of the report.
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