Email Sequences Triggered by Content Views

If you’re still using sequence-based outbound in 2025, you’re doing it wrong. Here's why 👇 You know the play: Day 1 – Email Day 3 – LinkedIn message Day 5 – Bump email Day 8 – “Just circling back…” It’s mechanical. Predictable. Easy to spot from a mile away. And buyers aren’t responding to it anymore, because it’s not about them. It’s about your calendar. The best outbound right now isn’t based on days. It’s based on signals. Signals that show someone is thinking about the problem you solve right now. Here’s what I mean: They viewed your profile They liked or commented on your post They followed you last week They just changed jobs Their company raised a funding round They engaged with a competitor’s content These are all signals. And if you’re not acting on them, someone else will. At Atticus, we’ve rebuilt the outbound engine around signals, not sequences. Here’s what that looks like in practice 👇 1. Scrape the signals We track profile views, post engagers, comment threads, company milestones, and more. We use tools like: Valley Clay Breakcold PhantomBuster And combine it all into a dynamic lead list. New signals get added daily. No static list-building. No manual scrape sessions. 2. Filter for ICP fit Not everyone who views your post is a lead. So, we layer in job title, company size, industry, and recent activity. Then score them against your ICP. You end up with a live lead list updated daily, based on actual buying signals. 3. Trigger the right touchpoint Based on the signal, we trigger a message on the right channel: → Viewed your profile? DM. → Engaged a post? Comment > then DM. → Job change? Email with reference to the new role. → Competitor follow? Positioning-focused message that reframes why you’re different. All written to feel like a real conversation, not a sales sequence. 4. Track what converts Every touchpoint gets logged. We track responses, meetings booked, and what signals led to the highest conversion rate. You start to see patterns: “Profile views after webinars respond at 23%.” “New followers with job changes → demo within 7 days.” That’s how you scale what works. Not a guess. Not spam. Just signal > response > call. The result for us? → 40–50 SQLs/month → 3–5x reply rate compared to sequence-based outreach → No SDRs needed It’s a full-funnel outbound system. And it’s built to start conversations, not burn your domain. Still running outbound from a 5-day drip campaign? It’s time to level up. Interested in having us build this for your business? DM me. And I’ll walk you through how we do it.

About 2-3 months back, I found out that one of my client’s page had around 570 people visiting the pricing page, but barely 45 booked a demo. Not necessarily a bad stat but that means more than 500 high-intent prospects just 'vanished' 🫤 . That didn’t make sense to me because people don’t randomly stumble on pricing pages. So in a few back-and-forth with the team, I finally traced the issue to their current lead scoring model: ❌ The system treated all engagement as equal, and couldn’t distinguish explorers from buyers. ➡️ To give you an idea: A prospect who hit the pricing page five times in one week had the same score as someone who opened a webinar email two months ago. It’s like giving the same grade to someone who Googled “how to buy a house” and someone who showed up to tour the same property three times. 😏 While the RevOps team worked to fix the scoring system, I went back to work with sales and CS to track patterns from their closed-won deals. 💡The goal here was to understand what high-intent behavior looked like right before conversion. Here’s what we uncovered: 🚨 Tier 1 Buying Signals These were signals from buyers who were actively in decision-making mode: ‣ 3+ pricing page visits in 10–14 days ‣ Clicked into “Compare us vs. Competitor” pages ‣ Spent >5 mins on implementation/onboarding content 🧠 Tier 2 Signals These weren’t as hot, but showed growing interest: ‣ Multiple team members from the same domain viewing pages ‣ Return visits to demo replays ‣ Reading case studies specific to their industry ‣ Checking out integration documentation (esp. Salesforce, Okta, HubSpot) Took that and built content triggers that matched those behaviors. Here’s what that looks like: 1️⃣ Pricing Page Repeat Visitors → Triggered content: ”Hidden Costs to Watch Out for When Buying [Category] Software” ‣ We offered insight they could use to build a business case. So we broke down implementation costs, estimated onboarding time, required internal resources, timeline to ROI. 📌 This helped our champion sell internally, and framed the pricing conversation around value, not cost. 2️⃣ Competitor Comparison Viewers → Triggered: “Why [Customer] Switched from [Competitor] After 18 Months” ‣ We didn’t downplay the competitor’s product or try to push hard on ours. We simply shared what didn’t work for that customer, why the switch made sense for them, and what changed after they moved over. 📌 It gave buyers a quick to view their own struggles, and a story they could relate to. And our whole shebang worked. Demo conversions from high-intent behaviors are up 3x and the average deal value from these flows is 41% higher than our baseline. One thing to note is, we didn’t put these content pieces into a nurture sequence. Instead, they were triggered within 1–2 hours of the signal. I’m big on timing 🙃. I’ll be replicating this approach across the board, and see if anything changes. You can try it and let me know what you think.

Your outbound sequence is costing you replies. Here’s how we fixed ours. A few months ago, we ran outbound sequences targeting clients in a niche segment. We had: ✅ A solid contact list. ✅ A well-crafted email sequence. ✅ A good offer. And yet… silence. Open rates were decent. Clicks were happening. But actual conversations? Barely any. We dug into the data and found a pattern: we were treating every prospect the same, no matter how they engaged. Someone could: 🔹 Click a link to read our case study - but get the same generic follow-up as someone who never opened the email. 🔹Open three emails in a row - but never hear from a rep. 🔹Visit the pricing page - but get an email two days later instead of a timely outreach. Mistake? Relying too much on static, pre-set sequences, assuming people would eventually respond. But buying behavior is not linear anymore. We built an AI-driven workflow that adapted in real time based on prospect activity. Here’s how it worked: 📌 If a prospect clicked a link but didn’t reply → Instead of another generic email, we sent a follow-up referencing that exact content and expanding on it. 📌 If someone opened multiple emails but never clicked anything → We tested a short, casual email with a direct question—no fluff, just a conversation starter. (Example: “Hey [First Name], I noticed you’ve been checking out [Topic]. Is this something you’re working on right now?”) 📌 If they visited the pricing page → A Slack notification went to the SDR in real time, triggering a personalized email or LinkedIn message within 30 minutes, before they bounced. 📌 If someone engaged but didn’t respond after 5 touches → We paused email and switched to a LinkedIn or call, instead of spamming their inbox. Results? ✅ Better replies. ✅ Quality conversations with the right people. ✅ Fewer wasted follow-ups on cold prospects. Outbound is as much about timing, context, and relevance as it is about volume. Remember, buyers don’t follow your steps, they follow their own journey. #outbound #salestips #b2b

Most cold email sequences get 1% to 3%reply rates. Mine get 10% (Here's the difference) 𝗕𝗮𝗱 𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝘀: - Time-based follow-ups - Same message for everyone - "Just checking in" emails - 3+ hours to build 𝗚𝗼𝗼𝗱 𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝘀: - Behavior-based paths - Different messages for different engagement - Triggered by actions, not days - Built in 15 minutes with AI 𝗧𝗵𝗲 𝘀𝗵𝗶𝗳𝘁: - Stop following YOUR calendar. - Start following THEIR behavior. 𝗛𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝗜 𝗺𝗲𝗮𝗻: - "Opened 5+ times? → Send: 'Seems like good timing to chat?'" High intent path. - "Clicked pricing link? → Send case study + booking link immediately" They're ready. Strike now. - "Replied 'not interested'? → Move to 90-day nurture sequence" Long game. Stay top of mind. - "Zero opens? → Try completely different value prop" Your angle isn't landing. Switch it. - "Opened 2-3 times, no clicks? → Send: 'Noticed you checked this out - questions?'" Soft nudge. They're curious. 𝗧𝗵𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: Building these manually takes 3+ hours per sequence. Most teams don't have that time. So they use generic templates and get generic results. 𝗧𝗵𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻: I started using AI to map the logic. (Specifically: Saleshandy's AI Copilot) Drop in website → Answer 3 questions → Get full behavior-based sequence. 3 hours → 10 minutes. 𝗕𝘂𝘁 𝗵𝗲𝗿𝗲'𝘀 𝘄𝗵𝗮𝘁 𝗺𝗮𝘁𝘁𝗲𝗿𝘀: The framework comes first. AI just speeds up execution. Time-based sequences = treating everyone the same. Behavior-based sequences = treating everyone right. As long as you match message to behavior... Hard not to see reply rates double. Which approach are you using? #SalesStrategy #ColdEmail #B2BSales #EmailMarketing #Outbound

The 5 outbound flows we used to book 95+ qualified meetings in 90 days. The best part? They all run on autopilot. Here's the breakdown: → 1. Signal-Based Email Campaigns Track job changes, funding news, and hiring sprees with Clay. Then fire automated sequences through Instantly.ai or lemlist when prospects hit buying triggers. → 2. Website Visitor Re-engagement Identify anonymous visitors using RB2B or Vector 👻(free!). Push them into Clay for enrichment, then hit them with personalized cold email mentioning their site visit. → 3. LinkedIn Profile Visitor Outreach Use Teamfluence™ to track who viewed your profile. Enrich in Clay, find emails with Prospeo.io, then send sequences referencing their LinkedIn activity. → 4. Content Engagement Follow-up Monitor post engagement with Trigify.io. Auto-connect with commenters, then follow up via email sequences that reference their specific comment or interaction. → 5. Multi-Channel Account Penetration Target high-value accounts across LinkedIn and email simultaneously. Use HeyReach.io for LinkedIn, Instantly.ai for email, all orchestrated through Clay workflows. These workflows work because they're built on warm signals, not cold spray-and-pray. If you're tired of outbound that feels like throwing darts blindfolded, this is your playbook. Which workflow hits different for you?

There’s a lot of talk on here around the promise of end-to-end outbound automation. Take a signal → trigger a workflow → send a contextual outbound message (And all without any human intervention) I get the hype. It’s a game-changing new way to run go-to-market. But talk is cheap, and I’m not seeing anyone showing how it’s done. So in this post (video really), I’m going to show how it’s actually done with Common Room. Here’s how to automate outbound for a pricing page visit. Let’s start with tools. Stack used in the video: 🌐 Hubspot → to track website visits (or form fills or email clicks) 🤖 Common Room → for enrichment and workflow automation 💌 Outreach → for outbound sequencing Side note — It’s incredible to me how consolidated this stack is compared to the days of needing a growth team to hack together website tracking + enrichment + prospecting + custom email scripting for personalization (think liquid syntax & customer.io) + email automation. Next, pre-requisites: ✅ You’ll need website tracking to identify and trigger from web activity. This comes out-of-the-box with most HubSpot plans. And if you use a CDP or other web analytics tracking tool, that also works. ✅ You’ll need a sequencing tool with a template built. I use Outreach in the demo but you can also use other tools for messaging like Apollo. ✅ You’ll also need to hook up these tools to Common Room. Good news! We have built-in integrations for both, and it takes just a few clicks to connect. And finally, a few steps to build the workflow in Common Room: 1️⃣ Set a trigger to kick off the workflow (pricing page views) 2️⃣ Apply account and role fit filters (org size > 100 & role = product) 3️⃣ Select an outbound sequence and mailbox to send from Save. And voila! You’ve got an automated, end-to-end pricing page view → sequence workflow all set. Now, you can take a nap and let the pipeline roll in while you sleep.