How I Built a Social Revenue Attribution Machine That Tracks Every Like to Every Dollar

Welcome to this week's newsletter where I break down the hidden playbooks behind scaling B2B growth through social intelligence.

I just cracked something that's been bothering me for months: the black hole of social attribution.

You know the drill. Marketing says "social is working" but can't prove which posts actually drive revenue. Sales says they're "building relationships on LinkedIn" but there's zero visibility into what's actually moving the needle.

Meanwhile, we're all posting into the void, hoping something sticks.

I wanted to fix this so I built a system that tracks every social interaction from first like to closed deal—and I'm about to show you exactly how I did it. The best part? It took me less than a day to set up, and now I can literally prospect out of my CRM at lightning speed while knowing exactly which content drives my highest-value prospects.

The Problem: Social Selling's Attribution Black Hole

Here's what was driving me crazy. I'd post something on LinkedIn, get 50+ engagements, and then... nothing. Complete visibility blackout.

Sure, I could see who liked and commented in LinkedIn. But what happened next? Did any of those people actually book demos? Sign up for our newsletter? Become customers?

I had zero clue.

And when someone did book a demo three months later, our attribution would point to "newsletter" or "website" as the source. We'd completely lose the fact that their first touchpoint was actually engaging with a specific LinkedIn post I made about signal-based prospecting.

The result? I couldn't answer basic questions like:

• Which types of posts actually drive qualified leads?

• Who from my target ICP is engaging but hasn't been followed up with?

• What's the true ROI of my social content efforts?

• Which LinkedIn posts should I be doubling down on?

Most B2B teams are flying blind here. They're creating content, getting engagement, but can't connect the dots to revenue. It's like running ads without tracking conversions.

The Solution: A Social Revenue Attribution Machine

So I decided to fix it. Using our own platform (Trigify) plus Attio and n8n, I built a system that automatically streams every piece of social engagement into my CRM as structured data.

Here's what it does:

Every time someone engages with my LinkedIn content, the system automatically:

1. Creates a record of the post in Attio (if it doesn't exist)

2. Creates a record of the person who engaged

3. Links the engagement back to the specific post

4. Tracks their full customer journey from that point forward

The magic happens because now I have granular visibility. I can see: "Joe Smith liked my post about social selling on March 15th, then signed up for our newsletter on March 20th, then booked a demo on April 2nd."

That's revenue attribution down to the individual post level. Game changer.

How It Works: The Technical Stack

I'm using three tools to make this happen:

Trigify (our social intelligence platform) - automatically detects and captures all social engagement across LinkedIn Attio (our CRM) - stores everything as custom objects with relationships n8n (workflow automation) - connects everything together via webhooks.

Step 1: Custom Objects in Attio

First, I created two custom objects in Attio:

1. LinkedIn Posts - stores every post I publish (URL, content, likes, comments, date)

2. LinkedIn Engagement - stores every person who interacts (name, company, engagement type, timestamp)

The key is creating a one-to-many relationship between posts and engagements. One post can have many people engaging with it, but each engagement links back to exactly one post.

Step 2: Real-Time Data Streaming

Trigify monitors my LinkedIn profile and sends a webhook to n8n every time someone new engages with my content. The webhook includes:

• The person who engaged (name, title, company)

• The post they engaged with (URL, content)

• Type of engagement (like, comment, share)

• Timestamp

Step 3: Smart Deduplication Logic

Here's where it gets clever. The n8n workflow first checks if the post already exists in Attio (using the post URL as a unique identifier). If not, it creates the post record. Then it adds the engagement, also checking for duplicates so the same person doesn't get added multiple times for the same post.

This means if 50 people like my post, it creates one post record and 50 engagement records, all properly linked.

Step 4: Revenue Attribution Tracking

Now the real magic happens. Because these engagement records are in my CRM, I can track the full customer journey:

• Social engagement → Newsletter signup → Demo booking → Customer

When someone who engaged with my content three months ago becomes a customer, I can trace it all the way back to the specific post that started the relationship.

What This Unlocks: From Insights to Revenue

Having all this data structured in my CRM has unlocked capabilities I never had before:

Social Prospecting

I can now prospect directly out of my CRM based on social engagement. See someone from my target ICP liked a post about social selling? I can immediately see their company, title, and engagement history, then reach out with highly relevant context.

Content Performance Analysis

I can actually measure which posts drive the highest-quality engagement from my target market. No more guessing—I have data on which content topics and formats my ICP actually engages with.

Revenue Attribution at Scale

For the first time, I can accurately attribute revenue back to specific social content. I can literally say "this LinkedIn post generated $50K in pipeline" with complete confidence.

Evergreen Campaign Optimization

Since I know which posts perform best with my target segments, I can create evergreen campaigns around those winning formulas. Why reinvent the wheel when I know what works?

The Results: What Changed

Since implementing this system two months ago:

Prospecting velocity increased 3x - I can identify and reach out to engaged prospects in real-time instead of waiting for them to come to me

Content ROI became measurable - I now know my best-performing post generated 12 demo bookings and $85K in pipeline

Follow-up improved dramatically - No more letting engaged prospects slip through the cracks. If someone from my ICP engages, they get followed up with automatically

Attribution accuracy skyrocketed - We went from attributing ~30% of deals to "unknown/direct" to having clear attribution for 85%+ of our pipeline

The Bigger Picture: Why This Matters

This isn't just about better tracking. It's about fundamentally changing how B2B teams approach social selling.

Most companies treat social media as a brand awareness play—post content, hope for the best, maybe track vanity metrics like reach and engagement rate.

But social platforms are actually goldmines of intent data. When your target buyer engages with your content about a specific pain point, that's a buying signal. They're raising their hand and saying "I care about this problem."

The issue is most teams have no way to capture and act on these signals systematically. They're leaving money on the table because they can't connect social engagement to revenue outcomes.

This system changes that. It turns social selling from a nebulous "brand building" activity into a measurable, scalable revenue engine.

How You Can Build This

Want to implement something similar? Here's your action plan:

Option 1: DIY Approach

1. Set up social monitoring (tools like Trigify, Brand24, or even manual tracking)

2. Create custom objects in your CRM for posts and engagement

3. Use Zapier/n8n to connect your monitoring tool to your CRM

4. Build deduplication logic to prevent duplicate records

5. Set up attribution tracking workflows

Option 2: Start Simple

Even without automation, you can begin tracking this manually:

• Create a simple spreadsheet with columns for post URL, engagement type, person, company, date

• Track engagements for your best-performing posts

• Follow up with engaged prospects from target accounts

• Note which engagements turn into opportunities

The key is starting somewhere. Even basic tracking will give you insights most teams don't have.

I did a video on this 👇

Final Thoughts: The Future of B2B Social Selling

Social platforms aren't going anywhere. If anything, they're becoming more important as buyers increasingly research vendors and engage with content before they're ready to talk to sales.

The teams that figure out how to systematically capture and act on social signals will have a massive advantage. They'll know exactly who in their target market is engaged and interested, what content resonates, and how to optimize their entire social strategy for revenue outcomes.

This system took me from posting blindly into the void to having a precise, data-driven social revenue engine. And honestly, it's just the beginning.

Next up: I'm working on predictive modeling to identify which engagement patterns are most likely to convert. Imagine knowing not just who engaged with your content, but which of those people have the highest probability of becoming customers.

That's where we're headed. And the teams building these capabilities now will own their markets tomorrow.

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Keep building, Max

P.S. - If you found this valuable, please share it with your network. More teams need to start thinking about social selling as a systematic revenue driver, not just a brand play.