Best Practices for Account Segmentation

𝗧𝗵𝗲 𝗼𝗻𝗲 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗜 𝗰𝗮𝗻’𝘁 𝗴𝗲𝘁 𝗲𝗻𝗼𝘂𝗴𝗵 𝗼𝗳? Customer segmentation by size, industry, and geography. Why? Because when you stop treating all customers the same, you start growing 𝗳𝗮𝘀𝘁𝗲𝗿, more 𝗽𝗿𝗼𝗳𝗶𝘁𝗮𝗯𝗹𝘆, and with fewer 𝘀𝘂𝗿𝗽𝗿𝗶𝘀𝗲𝘀. This analysis is the unlock for: 📈 Smarter growth strategies 💰 Healthier margins 🤝 Happier customers 𝗪𝗵𝘆 𝘀𝗲𝗴𝗺𝗲𝗻𝘁 𝗯𝘆 𝘀𝗶𝘇𝗲, 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆, 𝗮𝗻𝗱 𝗴𝗲𝗼𝗴𝗿𝗮𝗽𝗵𝘆? ✅ 1. Sales & service effectiveness • A $250M CPG distributor in the Midwest doesn’t need or want the same approach as a $7bn manufacturer in Germany. • Segmentation helps you sell and support the right way - for the right customer. ✅ 2. Better strategic & operational decisions • Want to know which customers are high-effort but low-margin? Which industries are expanding the fastest? Which region has the stickiest customers? • Segmentation brings that clarity. ✅ 3. Improved customer experience • Customers don’t expect to be treated equally - they expect to be treated relevantly. • When all your teams understand the nuances of the customer they're serving, retention and satisfaction go up. 𝗛𝗼𝘄 𝘁𝗼 𝗱𝗼 𝗶𝘁 𝘄𝗲𝗹𝗹: 1️⃣ Group customers by: • Size (revenue or headcount) - a useful proxy for complexity • Industry (manufacturing & industrials, tech, services, life sciences & healthcare, CPG, etc.) • Geography (region, market, country) 2️⃣ For each segment, analyze: • Profitability • Support/service effort • Sales cycle and retention • Volumes, expansion or upsell potential 3️⃣ Find your high-leverage segments 4️⃣ Align GTM, finance, ops, and support around them 5️⃣ Refresh regularly - your base will evolve 𝗧𝗵𝗲 𝗕𝗼𝘁𝘁𝗼𝗺 𝗟𝗶𝗻𝗲 • Customer segmentation isn’t just a data exercise. It’s a strategic advantage hiding in plain sight. • When you know who your best customers really are - you build better, sell smarter, and scale faster. #CustomerStrategy #Operations #Finance #Growth #Segmentation #BusinessStrategy #fpanda

Teams who take a “boil the ocean” approach to outbound will fail. Here’s how to fix it and build sequences that actually drive results: Step 1: Focus your team on accounts most likely to buy now, invest at a premium, and become long-term customers or referral sources. This means moving beyond “anyone who fits the ICP” and zeroing in on high-priority targets. Step 2: Create deeper, more meaningful segments from that refined group. Traditional segments are great for organizing territories but fall short for crafting sequences that resonate. Instead, you need segmentation that helps your team speak the language of specific sub-groups. Use multiple layers of data—firmographics, intent signals, and contact-level insights—to break your TAM into smaller, actionable groups. Step 3: Launch micro-campaigns that target those precise segments with messaging designed to feel tailor-made. When you take this approach, personalization becomes scalable because it’s rooted in segmentation. Your reps don’t waste time on one-off customization, and your messaging feels 99% relevant to the prospect. I've been teaching this process as #ValueBasedSegmentation for the better part of a decade. It’s the key to building sequences that drive higher CTRs, replies, and engagement without tedious manual effort. ➡️ With this approach, you’ll: - Improve email performance - Write copy that prospects actually care about - Give your team a clear roadmap for focused outbound 📌 How are you helping your team build relevance into their outbound sequences?

Segmentation beats personalization. Personalization is terribly inefficient... (and oftentimes unnecessary outside of highly strategic enterprise selling). Think about the ads that really grab your attention. None of them have your name in them. Or mention podcasts you were interviewed in or posts that you wrote. These ads work because they're segmented based on patterns amongst small-ish groups of people. Outbound should be treated similarly. Pro tip: this approach works WAY better over the phone than via email. The expectation for personalization and quality is much higher in emails than over the phone. Here are a few ideas for segmenting your lists so you don't have to personalize so much: ✅ By region/location If you sell anything brick & mortar, SLED, etc—segment your accounts by geographic region. You really don't have to personalize much when you can: - Name-drop local businesses/organizations - Drop the location This sounds like: "Hi David, we work with Fit & Fashion right down the road in SLU. It's Jason with ________. Ring a bell?" ✅ By tech stack Let's say you sell a tool that enhances Salesforce. Or Jira. Or some other specific tool. Segment your accounts by tech stack. This sounds like: "Hi Katie, we're partnering with engineering teams who wish sandboxes were way easier to set up and use in Zendesk. It's Jason with ________. Got a min?" ✅ By persona Let's say you sell to ecomm solutions to SMB retail business owners. This sounds like: "Hi Tom, we're working with several retailers in the Seattle area. It's Jason with ________. Heard our name tossed around?" (H/T Armand Farrokh) ✅ By trigger This list gets pretty extensive. Hiring, job changes, customer/champion change, M&A, expansion/contraction, promotion, etc This sounds like: "Hi Dave, congrats on the promotion. It's Jason from __________. Was just talking to a new HR leader yesterday who's running into all kinds of complications scaling international hiring. That by chance something you're running into?" ✅ By niche One of my favorites. Take a well-recognized logo like Rippling. You could go after direct competitors, but it's even better to focus on non-competitive products selling to the same personas. This sounds like: "Hi Cierra, we're working with Rippling to help scale their product suite for HR leaders. It's Jason with ________. Thought you might want to hear how they've doubled ACV in the last 6 months. Have a min?" ~~~ Before you think of personalization, start with segmentation. Do the work upfront to avoid having to customize too much. Agree or disagree? We're training entire sales orgs at companies like Shopify, Rippling, Zoom, and many more on how to land more meetings with outbound. Interested in custom training for your team? DM or email me jason [at] outboundsquad.com for more info.

If I was running ABM at a fast-growing security company (like Wiz, Snyk, or Netskope), here's how I'd avoid wasting money on bad-fit accounts. 👇 AI Segmentation. Most companies segment by industry. They say something like: "We target Tech, Retail, and Hospitality companies with 1,000+ employees." Motel 6 and Airbnb show why this breaks. Same firmographic profiles. But very different business situations, needs, and priorities when it comes to information security (or any tech purchase). You wouldn't sell to them the same way. AI Segmentation helps you uncover and target the highest value segments for your business, beyond basic industries. Here's how I would do this for a security company: 1.) Segment on business situation (not industry). -- Analyze your best customers (high NRR, high ACV). -- Group by specific situations that align to your value prop. e.g. Security Maturity Level, Security Use Cases, Compliance Sensitivity, etc.  -- Find the *natural* clusters based on value, not generic industry labels. 2.) Identify segments with AI. -- Use Keyplay AI to categorize every account in your market. -- Backtest segments against historical data to find which segments have the highest NDR, ACV, and Win Rates. -- Find new ICPs, outside generic vertical groups. 3.) Action the data -- Create ABM plays at intersections with highest win rates. -- Develop content specific to each segment combination (e.g., "Cloud Security for Advanced DevSecOps Teams in Retail") -- Refine your segmentation models as you grow. This process can reduce non-ICP Spend (waste) by 20-30% and help you find thousands of net new target accounts. Don't just throw your budget at industries. Find the segments where your solution resonates most, where you win often, win fast, and win big. That's strategic segmentation. p.s. If you want me and my team to kick-start this process for you, we're offering a free strategic segmentation analysis to CMOs at SaaS security companies with >$20M ARR. Get your report here --> https://lnkd.in/gMezS4Zk #ABM #ICP

I learned this the hard way. A while back, I thought I had segmentation figured out. I pulled CRM data, built ICPs, and refined personas. Like many of us, I believed segmentation was a marketing exercise - something that I could fix by tweaking messaging or targeting. But then I watched deals stall. Sales kept chasing wrong accounts. Marketing campaigns felt scattered. And leadership? They kept pushing for more pipeline instead of better pipeline. The big shift? Segmentation isn't about who you want to sell to. It's about who actually buys and why. I used to believe I could expand my market by testing new segments. In reality, the more I broadened the weaker my conversions got. My learnings: - If sales isn't focussed, pipeline turns into a mess of "maybe-fit" deals. - If leadership isn't aligned, segmentation becomes a guessing game. - If marketing optimizes for lead volume along with the above two, it creates pipeline bloat. Sounds obvious when you read it. But not easy to operationalize it. Especially if you're in the weeds of day-to-day work. Here's what I did to separate the good pipeline from the bad. I broke them down into four categories: - Winner Segment; This segment is driving high demo volume and has high conversion rates. These were my REAL ICPs. Double down here and find what channels these folks came from, the pages they landed on, the content they read. - Opportunity Segment: This segment doesn't look great initially because you're not getting a ton of conversions. So they don't pop in your reports. But if you dig deep these convert as well as your winner segment. These were our hidden gems — niche but valuable. Now the question was, does this segment make sense for us? And do we have more people, time, and money to prioritize this and double down on this? - Bleeder Segment: This is the exact opposite of the Opportunity segment. They look good in reports but they're actually creating a ton of false positives and end up burning your resources. Sometimes these are also the ones that end up draining your support/success teams. - Pause Segment: This one is obvious. These are people who never convert further in the pipeline. Sometimes it's channel specific. But in most cases these kinds of demo requests slip in every once in a while. These are the folks we needed to politely decline It was eye opening once I made this segment based view of what was happening But the hardest part? It was getting the leadership team to buy into it. So before you do another segmentation exercise, ask yourself (and even the extended team): - Are we optimizing for revenue or just for more meetings? - Are we prioritizing these segments across the org or is it just being talked about during your weekly sync ups? - Are we cutting bad-fit prospects fast enough? Because segmentation isn't about shrinking your market. It's about scaling smarter I wrote my process in detail in my newsletter. You can read it by clicking on the link in my profile