LinkedImpact: Revenue Attribution for LinkedIn Content

18yo built LinkedROI in 3 weeks — a dashboard that shows which LinkedIn posts bring real money (not just likes)

18yo built LinkedROI in 3 weeks — a dashboard that shows which LinkedIn posts bring real money (not just likes)

For an 18-year-old who built this in 3 weeks, the product is genuinely useful. The pricing question you should be asking isn't "what should I charge?" — it's "who has the most money riding on the answer?" **The value of knowing which posts drive revenue scales with how much revenue is at stake.** A solopreneur making $5K/month from LinkedIn? Knowing which post drove a $2K deal is nice. A LinkedIn agency managing 10 clients each paying $2K/month? Knowing which post drove revenue for which client is ESSENTIAL. They're losing $20K/month if they can't prove ROI to their clients. **Price for the agency, not the individual creator:** - **Free:** 1 LinkedIn account, 3 tracked links, basic dashboard. This is your wedge. Individual creators get value, tell their friends, and some of them are agency owners. - **$29/month (Creator):** 1 account, unlimited tracked links, revenue attribution by post, conversion funnel. For serious solopreneurs. - **$99/month (Agency):** 5 accounts, client-level attribution, white-label dashboard export (PDF/CSV), team access. This is your bread and butter. Agencies will expense $99/month without thinking. - **$249/month (Scale):** 20 accounts, API access, custom attribution models, priority support. **Why $99 for agencies works:** An agency charging $2K/month per client needs to prove that their LinkedIn strategy is working. Right now they're screenshots of engagement metrics. You're giving them dollar-amount ROI per post. That's the difference between "our posts got 400 likes" and "our posts generated $12K in pipeline this quarter." The second sentence lets them raise their retainer from $2K to $3K. Your tool just made them $1K/month more — $99 is a no-brainer. **The attribution models are your moat.** You mentioned first-touch, last-touch, and linear. Most analytics tools only do last-touch. The fact that you built all three means you can show a creator "your viral post started the conversation (first-touch) but your case study closed it (last-touch)." That's a story, not a number. Stories are worth more than numbers. **One thing that would make me pay immediately:** Slack/email alerts when a tracked link converts. "Your post about [topic] just generated a $5K pipeline opportunity — here's the click path." Real-time attribution beats a dashboard you have to remember to check.

I went through this same “vanity vs revenue” thing, just on Reddit instead of LinkedIn. What helped was forcing everything to map back to a real pipeline metric: booked calls, trials started, closed deals. I’d bake that into your product language so it’s not “analytics” but “this post printed $X this month.” I’d also add a way to tag posts by theme and offer. I found the magic was in seeing patterns like “founder stories = cheap leads, case studies = fewer leads but higher ACV.” Being able to compare those at a glance is way more useful than just top-10 posts. For discovery, I ended up using things like Clay and PhantomBuster for prospect lists, then Pulse for Reddit to catch buying-intent threads and see what angles actually drive signups. Same idea for you: show creators which content angle and CTA combo actually moves revenue, not just likes.