Small wins help build momentum
Posted: Wed May 21, 2025 5:47 am
Leading AI adoption across the entire organization can be overwhelming. You need to start small with narrow and impactful use cases. It’s tempting to deploy AI across all facets of marketing, but a focused approach with smaller, quicker use cases allows for deeper understanding, clear measurement of impact, and iterative learning.
This could mean starting with AI-driven personalization in email marketing or predictive analytics for lead scoring, or taking advantage of generative AI capabilities to help scale content creation.
and support for more extensive venezuela whatsapp lead AI applications.
(Back to top)
Learn the ins and outs of AI
Jaime López of Aiven.io walks you through how to use Marketing Cloud Account Engagement’s new generative AI features for better B2B marketing.
Watch the webinar
Prepare your MarTech build for scale and flexibility
Before you start realizing the power of AI in B2B marketing, it’s essential to maximize the out-of-the-box capabilities of your existing stack, particularly your marketing automation and customer relationship management (CRM) platforms.
If you’re not using a platform with built-in AI capabilities, the next step is evaluating your existing stack for AI compatibility.
This could mean starting with AI-driven personalization in email marketing or predictive analytics for lead scoring, or taking advantage of generative AI capabilities to help scale content creation.
and support for more extensive venezuela whatsapp lead AI applications.
(Back to top)
Learn the ins and outs of AI
Jaime López of Aiven.io walks you through how to use Marketing Cloud Account Engagement’s new generative AI features for better B2B marketing.
Watch the webinar
Prepare your MarTech build for scale and flexibility
Before you start realizing the power of AI in B2B marketing, it’s essential to maximize the out-of-the-box capabilities of your existing stack, particularly your marketing automation and customer relationship management (CRM) platforms.
If you’re not using a platform with built-in AI capabilities, the next step is evaluating your existing stack for AI compatibility.