Go-to-market teams often struggle with low personalization in their outreach efforts, leading to generic messaging that fails to resonate with key decision makers in their target industries. This lack of personalization is a costly problem - it results in poor engagement, low conversion rates, wasted time and resources, and ultimately fewer closed deals. The solution lies in leveraging AI-powered workflows to efficiently research contacts and craft highly personalized outreach at scale.
By combining a Contact Research workflow to build in-depth profiles with a Cold Messaging Creation workflow to generate tailored messaging, outbound sales teams can dramatically improve the relevance and impact of their outreach.
To overcome the challenges of low personalization, go-to-market teams need two key AI-powered workflows:
When used together, these workflows enable teams to align their messaging with each contact's specific interests, responsibilities, and pain points. This personalized approach captures attention, builds rapport, and compels contacts to engage. The right GTM AI strategy can transform outreach from generic and ineffective to highly targeted and impactful.
The Contact Research workflow automates the time-consuming process of researching individual contacts.
Inputs Needed: LinkedIn URL of the contact
What the Workflow Does:
This workflow enables go-to-market teams to quickly gain deep insights into each of their contacts, so they can tailor their messaging to resonate with the individual. By aligning outreach with the contact's interests and responsibilities, teams can dramatically improve the effectiveness of their sales efforts and boost GTM Velocity.
The Cold Messaging Creation workflow makes it easy to generate personalized messaging and templates optimized for multiple channels.
Inputs Needed:
What the Workflow Does:
With this workflow, go-to-market teams can ensure all of their cold outreach is highly relevant and effective, without spending hours manually crafting emails and scripts. The workflow makes it simple to standardize messaging best practices across the team, reducing GTM Bloat from inconsistent and inefficient processes.
When the Contact Research and Cold Messaging Creation workflows are combined, go-to-market teams have a powerful solution for overcoming low personalization in outreach. The Contact Research workflow equips reps with in-depth insights on contacts, while the Cold Messaging Creation workflow leverages those insights to produce relevant, compelling outreach across channels. Sales leaders can have confidence that their team's outreach will consistently resonate with target personas.
Together, these workflows drive significant improvements in open rates, response rates, and ultimately pipeline generation. It's a prime example of how the right GTM AI strategy can transform sales effectiveness.
AI copilots like ChatGPT can help generate generic cold outreach, but they lack the ability to produce deeply personalized messaging at scale. Copilots don't have built-in mechanisms to research contacts and identify the most relevant angles and value propositions on a per-prospect basis. As a result, copilot-generated outreach often still feels impersonal and disconnected from contacts' true needs and priorities.
Plus, relying on individual reps to prompt copilots introduces inconsistencies in messaging across the team. Without standardized inputs, each rep's outreach will vary based on how they engage with the copilot. This lack of control introduces risk in terms of brand voice and positioning. Achieving personalization at scale requires purpose-built workflows within a GTM AI Platform.
The combination of Contact Research and Cold Messaging Creation lays the foundation for highly personalized outreach across the buyer's journey. The rich insights generated by the Contact Research workflow can be used by marketing to build targeted ad campaigns and content. Customer success can leverage the data to tailor onboarding and adoption campaigns to each new customer. Product teams can analyze the insights to prioritize features and enhancements that align with key use cases.
By operationalizing these AI-powered workflows, go-to-market teams can make personalization a true competitive advantage. The data and messaging can be used cross-functionally to provide a cohesive, relevant experience from first touch through to customer expansion. With this foundation in place, companies can differentiate based on a deep understanding of each prospect and customer, maximizing GTM Velocity.
If you found this guide helpful, then you might also be interested in the following resources:
These additional resources provide actionable strategies and examples to help you take personalization to the next level. And when you're ready to see how the Copy.ai GTM AI Platform makes personalization easy and effective, book a demo to learn more!