Go-to-market teams struggle with inconsistent value propositions across marketing assets and sales outreach. This disjointed messaging confuses buyers and hampers sales productivity. Teams lack a centralized way to align on key messaging and automatically disseminate it across all customer-facing content.
Marketing creates generic content that fails to resonate with specific industries or accounts. Sales reps waste time hunting for relevant talk tracks and case studies. The fragmented buyer experience makes it hard to stand out from competitors and close deals.
A GTM AI Platform enables teams to codify core value propositions and use cases for each target industry and account. AI-powered workflows automatically generate on-brand content and campaigns that speak directly to each audience's unique needs. This approach maximizes relevance and consistency from the first touchpoint to the final proposal, accelerating GTM Velocity.
A GTM AI Platform provides two key workflows that work together to solve inconsistent value propositions:
This workflow helps go-to-market teams develop a deep understanding of each target account so they can align their messaging and create highly relevant content.
Inputs Needed:
How the Workflow Works:
The Account Research Workflow aligns sales and marketing on the same strategic insights about each target account. It provides key information on what matters most to each stakeholder.
Example in Action: The sales team at a B2B marketing analytics company targets a major enterprise account. They run the account's domain through the Account Research Workflow, along with key trends like the rise of multi-touch attribution and martech consolidation. The workflow discovers that the CMO focuses on improving campaign attribution and consolidating their martech stack. It suggests emphasizing their solution's ability to provide unified multi-touch attribution across all channels. It also generates ideas for account-specific content like customer case studies, an ROI calculator, and a webinar on marketing measurement best practices. The sales team shares this research with marketing to inform the account-based campaign strategy.
The Account Research Workflow uncovers the account's key initiatives and challenges, enabling hyper-relevant messaging and content. It serves as the foundation for developing a cohesive narrative that will resonate with all decision-makers.
This workflow enables marketing teams to quickly spin up comprehensive campaigns that are tailored to each target account's needs. It ensures consistent messaging across all touchpoints while saving hours of manual content creation.
Inputs Needed:
What the Workflow Does:
The Campaign Creation Workflow develops full-funnel campaigns that speak directly to each account's unique context. Sales and marketing engage decision-makers at every stage with the right mix of content and tactics.
Example in Action: Continuing from the previous example, the marketing team takes the account research insights and runs them through the Campaign Creation Workflow. They select a mix of assets including a series of personalized emails, an account-specific landing page, a customer case study, and a targeted LinkedIn ad campaign.
The workflow automatically generates the content, weaving in the account's key initiatives and pain points around campaign attribution and martech consolidation. The messaging emphasizes the company's unique value proposition around unified multi-touch attribution.
After refining the content, the marketing team launches the account-based campaign across channels. Sales reps follow up with personalized outreach that builds on the messaging. By engaging the account with a cohesive narrative, they are able to book a meeting with the CMO and start a sales conversation.
The Account Research and Campaign Creation Workflows enable go-to-market teams to:
This integrated approach unifies sales and marketing messaging while tailoring outreach to each account. It improves conversion rates by ensuring maximum relevance at every interaction, accelerating GTM Velocity.
Standalone AI copilots like ChatGPT help with individual content creation tasks, but they can't align value propositions across teams and automatically disseminate insights at scale. Some key gaps with copilots include:
Relying solely on copilots still allows inconsistent messaging and requires more manual effort from go-to-market teams. An integrated GTM AI strategy solves this issue and avoids GTM Bloat.
With a strong foundation of account research and on-brand content, go-to-market teams can expand their efforts by using additional workflows in a GTM AI Platform:
Aligning value propositions across the entire buyer journey maximizes the impact of account-based plays and drives more revenue. A GTM AI Platform unifies messaging and automates content creation to deliver a standout customer experience at every touchpoint.
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By implementing the workflows and best practices covered in this guide, you'll be well on your way to solving inconsistent value propositions and accelerating GTM velocity. Ready to see how a GTM AI platform can help you achieve your goals? Book a demo today and let's discuss your specific needs.