Customer Experience Competitive Analysis

my competitor and i launched identical linkedin campaigns. same budget, same audience, same product category. i crushed him 8:1 on deal conversion. he was confident going into the test. better product. stronger brand recognition. more funding. bigger team. we both targeted VPs of sales at 500+ person companies. same demographic criteria. same ad creative quality. $10K budget each. month one results: me: 47 deals closed. him: 6 deals closed. he was convinced i got lucky with better prospects. "let me see your targeting strategy," he asked. i pulled up my dashboard. "i don't target demographics at all." "what do you mean? you're running linkedin ads." "i target behaviors." i showed him my approach: instead of job titles, i track content consumption. instead of company size, i monitor website journeys. instead of industry filters, i watch engagement patterns. "i built an audience of people who've consumed competitor content in the last 30 days. downloaded sales automation guides. attended webinars about pipeline management. visited pricing pages of tools like ours." my "audience" wasn't demographic. it was behavioral. "linkedin lets you upload custom audiences," i explained. "i upload lists of people who've shown buying behavior. then i target those lists with ads." he was targeting people who might need our product. i was targeting people actively shopping for our product. "how do you identify buying behavior?" he asked. "third-party intent data. website pixel tracking. content engagement scoring. competitor analysis tools." i showed him my process: week 1: identify companies researching sales tools. week 2: find individuals at those companies consuming content. week 3: build custom audiences from behavioral data. week 4: launch ads to pre-qualified prospects. "demographics tell you who someone is," i said. "behavior tells you what they're doing." he was advertising to VPs of sales. i was advertising to VPs of sales currently shopping for solutions. same title, completely different mindset. my prospects were already in buying mode. his were just scrolling linkedin. the conversion difference made perfect sense. he rebuilt his entire approach: behavioral targeting instead of demographic filtering. intent data instead of job title assumptions. shopping behavior instead of profile characteristics. next month's results for him: 52 deals closed. 9x improvement over his original campaign. the lesson was clear: demographics describe who people are. behavior reveals what people need. target the behavior.

Are you scraping everyone who likes a competitor's post? ☠️ Then you're wasting your time. Tracking competitor engagement is smart. But most tools grab anyone who engages. The problem is that half of those people aren't even in your ICP. Here's a better way to do it: - Build a filtered list of the exact people you want to talk to. - People who are already engaging with your competitors. - People who fit your ideal customer profile. And here's how you can do it with OpenFunnel (YC F24): 1. Create a new signal in Precision mode 2. Select "Competitor LinkedIn Engagement" 3. Define your ICP criteria upfront 4. Drop in your competitor's LinkedIn page 5. Set your timeframe (last day, week, or month) 6. Automate it to run daily Check out the video for the full rundown. The tool builds a clean audience list for you. No noise. Just qualified prospects already showing interest in your space. This is how you make competitor tracking actually useful. Are you tracking your competitors' post engagements?

Sellers are stuck in outdated methods. Noticeably poor results are all over the market 👎. Those actually generating $ are selling differently: For 10+ years sellers were neither trained nor equipped to focus on ACTUAL buyer value + intent. It was cold call this, cold email that, and an over-optimization of inputs and outputs. Great for investors. Not great for the buying experience. The better way: Showing sellers which signals actually matter, what they mean, & consolidating them into a digestible way for them to use. 💡 Examples of High-Intent Signals (Data from Common Room): Social level: - Prospect mentions competitor on LinkedIn - Prospect comments on an industry leader’s post Product level: - Aha! Moment reached - Upgrade screen activity - Multiple workspaces created Community level: - Activity spikes from power users - Community/forum question asked Website level: - Pricing page visits - Problem-specific pages - Resource pages (templates, etc.) Think your sellers know how to prioritize these? No. Sellers have enough on their plate. So, a new era of tools (like Clay & Common Room) are coming out to play. Give a rep a Common Room and you immediately remove the headache of navigating all these signals. 📈The right context at the right time, so sellers spend energy with prospects that will actually become pipeline. As Adam Robinson said about attention: “We are in an attention war. The prize is that you get a signal. The reason that’s important is that’s the only outbound that’s working these days.” Today’s highly accessible options for using signal-based sales vs the old model - where sellers were blasting their (likely poorly defined) ICP with communications - has buyers showing their preference… Buyers know how they want to spend their time & attention: With sellers who understand their pain & the context of their needs, at the right time. My favourite stack of signals are: Social Signals - Competitor social engagement (especially questions) - Partner/ecosystem social post engagement (non-competitive, similar tech) Website Signals - Activity on pricing & problem pages - Who has recently engaged on your website Partner Ecosystem Signals - Have your partners experienced upgrades/downgrades? - What is the prospect's existing tech stack? Do you work with THOSE companies today? (See tools like Crossbeam + EULER) Consolidating signals with Common Room to properly give a view into who actually cares + is showing intent… is like giving a flashlight to a hunter in the dead of night. THIS is how you reach buyers that care. If they care, they’re more likely to convert 🤑. There’s even a Chrome extension to pull relevant/popular LinkedIn posts directly into your Common Room to prioritize those interested in your problem space. As Florin Tatulea wrote a week ago, never reach out with “Hey I saw you liked…” What signals are you using? I’ve been researching Common Room’s resource on 100s of signals their clients use. 👇

Want to reduce churn? Start tracking when your customers engage with competitors on LinkedIn. While your customer success team monitors usage metrics and satisfaction scores, they're missing a powerful early indicator: your customers actively engaging with competitor content online. Here's what happens: Your customer with "healthy" metrics likes several posts from your competitor. Their decision-maker connects with your competitor's founder. Your champion comments on a competitor's feature announcement. These actions happen 60-90 days before traditional churn signals appear. By monitoring this engagement, you gain precious weeks to intervene. Here's how smart CS teams are getting ahead: >Build your competitor watchlist List all competitors and their key executives Include their company pages and personal accounts >Set up tracking with Apify Monitor all posts and engagement activity >Capture interaction data systematically Use Clay to match with your customer base Instantly identify which customers are showing interest elsewhere >Create your early intervention system Alert CS managers when valuable accounts engage with competitors Develop targeted reengagement strategies based on what content they're responding to This approach gives your team the insight to schedule strategic reviews, highlight upcoming features, or address concerns before your customer ever mentions alternatives. Companies that identify at-risk accounts can address concerns earlier, potentially improving retention rates significantly. The data is there. The tools are available. Are you using them?