Experiment Suggestions
3 min read
Experiment Suggestions 🧪
Once you've logged performance metrics, the AI analyzes your data and suggests experiments to try. These are data-driven ideas to help you improve engagement, clicks, and conversions.
How Suggestions Work
- AI Analyzes Data — Looks at your top and bottom performers.
- Identifies Patterns — Finds what top content has in common.
- Generates Hypotheses — Creates testable ideas.
- Suggests Experiments — Recommends specific changes to try.
Example Suggestions
🎯
Try Question-Based Hooks
Your top 3 posts all started with questions. Experiment with question hooks in your next 5 posts.
📏
Shorten Your Posts
Posts under 150 words got 40% more engagement. Try shorter, punchier content.
📊
Add Statistics
Posts with specific numbers outperformed by 2x. Include data points in your next content.
⏰
Post Earlier
Your morning posts (8-10am) outperform afternoon posts by 35%. Shift your schedule.
Accessing Suggestions
- Go to Performance — Click "Performance" in your workspace.
- Open "Experiments" — Find the Experiments tab.
- Review Suggestions — See AI-generated experiment ideas.
- Start an Experiment — Click "Try This" to track your test.
- Log Results — After testing, log what happened.
Running Good Experiments
- Test One Thing — Change only one variable per experiment.
- Get Enough Data — Run at least 5-10 posts before concluding.
- Document Everything — Note what you tried and what happened.
💡 Pro Tip
Don't just try suggestions randomly. Pick one experiment, commit to it for 2 weeks, then evaluate. Consistency beats sporadic testing.