See how ABM teams use Mutiny to engage target accounts at scale.
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WHAT YOU'LL LEARN
WHAT YOU'LL NEED
B2B sales has a noise problem. Your buyers are drowning in the same templated emails, empty value props, and zero-context cold calls.
The kicker? They are showing interest. But sales teams can’t see it in time—or don’t know what to do with the signals when they do.
On top of that, most outreach isn’t personalized enough to break through. It’s either too generic to resonate or too manual to scale. So even great accounts slip through the cracks.
We needed a system that did three things:
Let us know who was showing intent and when
Made personalization fast and scalable (thanks, AI)
Kept marketing and sales in sync, every single week
If we could reach out at the moment a buyer showed interest—with a message tailored to what they cared about—we could create warm conversations out of cold outreach.
And if we could do that at scale, using AI and real engagement signals, we’d book more meetings, accelerate deals, and keep sales and marketing rowing in the same direction.
Spoiler: it worked. And now we’re breaking it down for you.
Monday: Mutiny’s BDR team reviews last week’s outreach performance—open/reply rates, bounce rate, meeting rate. We note top subject lines, messaging that hit, and campaigns that flopped.
Tuesday–Wednesday: Campaign launches go live. We pace sends over two days to protect domain health.
Thursday: Research + sourcing. We identify titles and accounts showing real intent based on page visits (via Mutiny’s Web Extension) and Account Intelligence.
Friday: New cadences are built. AI helps us draft messaging that feels hyper-personal—without handcrafting every line.
🛠 Shared Notion Doc: Campaign data, themes, and results all live here. It’s how we align across teams without endless Slack threads.
We're not guessing what to say—we're using real-time data.
When someone from a target account browses a high-intent page (e.g. pricing or product tour), Mutiny’s Web Extension notifies us. We can see which pages they visited, how long they stayed, and what content they read.
With those insights, we can spin up tailored outreach using ChatGPT + Clay to draft copy that pulls in company-specific pain points and industry proof points.
⚡️ Pro tip: We use prompts like:
“Write a 3-sentence cold email to a Director of Marketing at a 500-person SaaS company who just viewed our pricing page. Mention challenges with personalizing at scale and reference their recent Series C funding.”
It’s fast, on-message, and feels like we did hours of research—even though we didn’t.
Then our AEs can take things even further once a deal’s in motion.
After each call, our AE pulls highlights from Gong and drops them into ChatGPT:
“What are the main goals, blockers, and buying signals from this transcript?”
We then format those insights into a CSV and uploads them into Mutiny to generate 1:1 microsites—custom pages built for each account, featuring:
Their stated goals
Product features that map to their pain
Relevant case studies or offers
Direct Calendly links to keep the deal moving
Prospects land on a page that looks like it was built just for them (because it was). And they engage—fast.
🔁 Bonus: Every time they come back to the site, we get new signals that feed into even more relevant follow-ups.
By building this system, we’ve seen:
Faster replies — prospects reply in minutes, not days
Higher efficiency — reps focus on hot accounts, not dead ones
More velocity — 50% of in-flight deals now visit their 1:1 page
Deeper alignment — sales and marketing share wins and adjust in real-time
This isn’t theory—it’s what we do every week. And it works.