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WHAT YOU'LL LEARN
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In today's B2B landscape, generic marketing approaches are increasingly ineffective, yet many companies struggle to implement true personalization at scale. According to Forrester's latest report, 72% of B2B customers expect personalized content when buying a product or service. Personalization isn't an option anymore. If you don't personalize, you're leaving money on the table.
However, most personalization efforts remain superficial, merely inserting company name as a dynamic variable and calling it a day. The challenge was to create meaningful, account-specific experiences that could be built efficiently without requiring extensive engineering resources for each target account.
Additionally, even when companies manage to create personalized content, they struggle to measure its effectiveness and optimize based on actual engagement data. Without these insights, marketing teams waste time personalizing elements that prospects don't engage with while missing opportunities to enhance the aspects they do notice. Let's dive into this playbook so you can see how we're approaching personalization at scale, using Mutiny.
I believe that truly effective personalization needs to go beyond basic company name insertion to deliver meaningful impact. Our marketing team's approach is built around three core components:
Visual personalization: creates immediate recognition and builds trust by incorporating brand elements that resonates with target accounts.
Pain point alignment: demonstrates deep understanding of each account's strategic priorities and goals, showing that Mutiny had done their research and genuinely wants to help them succeed.
Proof and examples: validates Mutiny's solution through relevant customer stories that built credibility with target accounts.
By combining these elements with AI-driven content generation and a systematic distribution strategy, we hypothesized we could create personalized experiences that would drive higher engagement from target accounts and accelerate pipeline.
First up: a foundational landing page to work off of. We leverage Mutiny's AI capabilities to automatically generate landing page templates based on existing web content.
In the absence of a personalization platform, marketers rely on engineering or web teams to build a landing page from scratch - but ain't nobody got time for that.
Instead, we provide Mutiny's theme builder with a URL to one of our product pages, and it generates a template that matches our brand's style, including fonts, colors, and formatting. This template becames the foundation we personalize for each target account without needing to rebuild the page structure each time.
The template includes various sections such as a hero area, logo bar, social proof section, and a "How it Works" walkthrough that can all be customized using variables and AI prompts. Boom.
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With the template in place, we use a combination of variable insertion and AI prompts to create dynamic, account-specific content. This ain't your grandma's personalization.
For messaging alignment, we use AI prompts to generate content that speaks directly to each account's priorities, without manually researching and writing custom copy for each account. AI dynamically generates relevant content based on the target account's known priorities and goals.
Prompt idea: "You're a B2B marketer writing for this particular copy. Here's your mission: Research [target account]'s top three priorities and write a sentence that speaks to their priorities and how my product can help them."
We even personalize based on account ownership, showing the assigned account rep on the page.
My personal favorite? I use AI to automatically format colors based off of the account's brand colors.
To maximize pipeline potential, we integrate direct booking capabilities into personalized pages. Rather than just providing contact information or a form, we input calendar functionality directly on the page, using an embed block.
This approach removes friction from the booking process by allowing prospects to immediately schedule time with their assigned account representative without leaving the page or waiting for follow-up.
Creating personalized pages is only half the battle—getting target accounts to visit them is equally important. We follow a three-pronged distribution strategy.
Partner with sales: Embed these personalized links into outbound reachout.
Website popup: Mutiny can identify target accounts visiting your website and generate a sidepop directing them to their personalized pages
Paid: Put your paid dollars to work by placing the 1:1 page as the landing page for that ad.
To ensure sales adoption, I created a structured collaboration process with the BDR team. We maintain a shared workspace where we plan campaigns together, align on messaging, and incorporate the microsites into outbound sequences. Snag that ungated template here.
The final component is using engagement data to continuously improve our personalized experiences. I use the session replay functionality to see exactly how visitors interact with their pages: where their mouse hovers, how long they scroll down, and what parts they skip.
This insight was eye opening. I spent hours personalizing one particular section, and it took hours. When I launched the campaign and started watching session replays, I realized that everyone just skimmed through that section. That made me realize I didn't actually have to spend all that time personalizing it. I could move on and focus my energy somewhere else.
We also use account timeline views to understand the prospect's entire journey, seeing what pages they visit before they turn into pipeline. What this does is give you something you can bring to your AE and say, 'Hey, I noticed your account has been going through our website. Maybe it's time to give them a really good one-to-one email.'"
There's still a lot to learn, but implementing this AI-driven personalization strategy has transformed our ABM program, creating a systematic approach to engaging high-value target accounts.
Some results we're seeing:
Our ABM program contributes to 50% of closed won deals
We've shifted our pipeline composition to focus more on enterprise by 20%
Outbound and paid continuously exceed 100% of pipeline goal
Through this combination of AI-powered personalization, strategic distribution, and data-driven optimization, we're creating a scalable approach to ABM that delivers highly relevant experiences to their most valuable target accounts—without requiring extensive manual effort for each account, and sharing our tips to other marketers as we go.