Master Course in Account-Based Marketing (ABM2.0)

Identify and prioritize high value accounts using data-driven scoring and engagement metrics to guide personalized campaigns, content, and targeted advertising for revenue growth.

Create an account scoring model for ABM by identifying key factors like revenue potential, lifetime value, fit, and engagement; rate, total, and prioritize accounts to drive personalized campaigns and revenue.

Identify potential lifetime value and conversion likelihood from data to guide account based marketing campaigns. Score target accounts on engagement, demographics, firmographics, and technographics to prioritize high value opportunities.

Create personalized messaging and content for target accounts by researching their pain points and goals, then tailor emails, ads, and landing pages to engage segments and drive revenue.

Personalization drives ABM 2.0 by tailoring messaging and content to high-value accounts, increasing engagement and revenue through targeted emails, ads, and account-specific case studies.

Tailor messaging and content for cannabis marketing to address specific pain points and opportunities for target accounts by researching accounts, industry, competitors, challenges, and using case studies, whitepapers, and blogs.

Use artificial intelligence and machine learning to target high-value accounts more effectively in ABM, predicting conversions with predictive analytics, intent data, and enhanced scoring to personalize messaging at scale.

Discover how predictive analytics drives ABM 2.0 by using data mining and machine learning to identify high-value accounts likely to convert, enabling personalized messaging and improved account scoring.

Combine CRM, third-party, website, and social data to create a complete account view and boost account-based marketing with personalized messaging and content.

Develop a multi-channel approach for engagement in account-based marketing. Personalize messaging across email, social, direct mail, and events to resonate with target accounts.

Identify the right mix of email, social media, and direct mail for target accounts, map content across channels, and measure results to optimize engagement.

Develop a cohesive, multi-channel engagement plan for ABM2.0 that maps touchpoints across email, social, and direct channels to guide target accounts along the customer journey, optimize results, and personalize experiences.

Measure ABM 2.0 campaign success by defining clear goals and KPIs, tracking account engagement, pipeline acceleration, ROI, and CPA, while using qualitative and quantitative data and applying best practices.

Identify and track key ABM 2.0 metrics such as engagement, duration, pipeline velocity, and revenue to measure campaign success. Set KPIs to achieve goals, like generating 50 leads per month.

Set clear goals and objectives, monitor and analyze data, and run tests to optimize ABM 2.0 campaigns, using technology and personalization to continuously improve high value accounts.

Discover real-world ABM 2.0 campaigns that target high-value accounts with personalized content and multi-channel outreach, driving enterprise growth and revenue.

Define your ideal customer profile with detailed target account attributes. Align sales and marketing to deliver personalized messaging across channels using data analytics and AI to optimize ABM 2.0.

Overcome common challenges in ABM 2.0 implementation by improving data quality and availability, integrating marketing technologies, and aligning sales and marketing to target high-value accounts.