Personalized outreach has become the standard expectation in modern sales. The challenge is that true personalization usually requires hours of research, digging into company news, understanding industry context, identifying relevant triggers, and tailoring messaging for every prospect.
For most sales teams, especially smaller ones, that level of research simply doesn’t scale.
The opportunity is to bridge that gap by creating outreach that feels thoughtful and relevant while still moving fast enough to support real go-to-market plays. With the right combination of data, signals, and AI-driven workflows, teams can design structured sales cadences that adapt to each account without requiring manual research for every message.
Here’s an example of how we built a personalized seven-step cadence that combined calls, emails, and LinkedIn outreach, while still operating at scale in GTM Studio.
Establishing the Structure of the Cadence
The first step was deciding how the cadence itself would work.
We began with a phone call. That meant we needed a phone script. Instead of writing it manually, we created a prompt for ZoomInfo’s data agent to generate the script.
While designing the prompt with the client, we focused on making it as detailed as possible. We included discovery questions, potential challenges the prospect might be facing, and likely pain points. Then we went even deeper. Because we were using the AI data agent, we could refine the prompt further and make it extremely specific.
Once we finalized the prompt, we generated the script.
The result was a structured opening call. It included an introduction and permission-based opening, context-setting for the conversation, and discovery questions tailored to the prospect. The script automatically referenced the prospect’s first name and their company name. It also incorporated details about the company’s industry, a short company description, relevant triggers, and the challenges and pain points that might matter most to that business.
The client reviewed the output and agreed it was strong. But instead of stopping there, we decided to build on it.
Building the Follow-Up Email
The next step in the cadence was a follow-up email tied to that first call.
We went back to the AI data agent and created another prompt for a personalized email generator. The instructions were simple but important: use the information from the first call, build on it, and avoid repeating what had already been said.
We reused the same pain points identified in the first prompt, but we expanded on them. We introduced case studies and examples to make the outreach more relevant. We also included references to blog posts and thought leadership content that the client had already published. These pieces of content gave the prospect something valuable to explore while reinforcing the client’s expertise.
The result was an email that followed a very specific set of rules while still feeling personal and contextual.
When we opened the email output, it included a subject line that was concise but specific. The message referenced the prospect by first name and incorporated relevant company news. It built directly on the themes introduced in the call script.
From there, we continued expanding the cadence.
Expanding to a Full Seven-Step Sequence
Using the same process, we layered additional communications on top of the first two steps.
Each new step referenced the previous interactions so the conversation felt continuous rather than repetitive. The cadence ultimately included a mix of cold call talking points, follow-up emails, and LinkedIn messages.
Because everything was powered by GTM Studio’s data agent, each step could draw from the same underlying context — industry details, company information, triggers, challenges, and pain points — while still adding something new to the conversation.
The result was a seven-step outreach cadence that maintained personalization across hundreds of accounts.
Personalization at Scale
This approach allowed the client’s small BDR team to launch a highly targeted end-of-quarter sales play without getting stuck in manual research. Instead of spending hours digging through company data, the team could generate structured messaging that already incorporated the signals and insights they needed.
In the end, we helped the team eliminate hours, possibly days, of research. The seven-step cadence combined email, LinkedIn, and cold call outreach, all personalized at scale. Most importantly, it allowed the team to launch their campaign on time and execute the end-of-quarter play they were planning.
Learn how this works in practice with GTM Studio.
