The playbook · 18 tactics · 6 platforms

What actually works on each platform.

Each platform's algorithm rewards a different signal. We teach our engine the difference, then draft to whichever signal the post is going for. Tap a platform below to see three tactics each — anti-pattern (what busy operators write) vs engine fix (what MadCoolSocial would draft instead). All examples are hand-written and platform-tested.

3 tactics · anti-pattern → engine fixtap a tab to flip

Tactic

Lead with a counterintuitive claim

The first 200 chars decide whether the rest of the post even loads. Curiosity > credentials.

10,000 customers in. Three things I'd undo if we started over: 1. We launched paid ads month one — should've waited until our retention curve flattened. 2. We hired sales before we'd written down what 'qualified' meant. 3. We named the wrong feature the headline. 18 months of product-market fit erased by one positioning mistake. What's the one decision you'd undo from your last 10x?
What MadCoolSocial would draft

Tactic

Strip the 'I'm so excited' opener

Generic celebration triggers algorithmic boredom — LinkedIn down-ranks repeated phrasing patterns hard.

I joined Acme this week as Head of Marketing. The pitch that got me: every other CMO role I'd looked at had 14-month windows. This one has 4 quarters and a single number we agree to be measured against. That clarity is rare. One lesson I'm bringing in: B2B doesn't need more content, it needs better repetition of the few things that actually moved a deal forward last quarter. What's the one repetition that's been earning your dollars lately?
What MadCoolSocial would draft

Tactic

Ask a real question — not a rhetorical one

Comments are the ranking lever. Closed questions get likes. Open questions get replies that keep the post in the feed for 36 more hours.

Half the SaaS dashboards I open this year ask me to 'rate this experience' before I've finished the experience. Genuine question for the people building support tooling: what's the trigger you've found actually predicts a good NPS — outside of survey-bait moments? Mine: did the user open the product the day after the ticket closed.
What MadCoolSocial would draft

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