← Back to blog

Junior Analyst · Creative Economy Mission Pack

Ship Clean Analysis: Rafael's Funnel Fix in 5 Steps

Turn your analysis into approved execution. One funnel fix, one clear recommendation.

Who This Helps

You're a junior analyst who just found a drop in reach. Your manager wants a diagnosis, not a data dump. The Creative Economy Mission Pack is built for this moment. One mission, the Audience Funnel Snapshot, gives you a repeatable way to turn numbers into a decision.

Mini Case

Rafael, a creator analyst, saw reach drop 12% in 7 days. He ran the Audience Funnel Snapshot and spotted the leak: new viewers weren't converting to followers. His recommendation? Change the first 3 seconds of the video hook. The fix was approved in one meeting.

Do This Now (5 Steps)

  1. Pull your last 7 days of funnel data: impressions, reach, new followers.
  2. Calculate the conversion rate from reach to new followers. If it's below 2%, you have a hook problem.
  3. Pick one video with the biggest drop. Watch the first 3 seconds.
  4. Write one sentence that describes what's missing (curiosity, clarity, or conflict).
  5. Draft a single hook test for tomorrow's post. Share it with your team for fast approval.

Avoid These Traps

  • Don't report every metric. Pick the one that matters for the decision.
  • Don't recommend three things at once. One clear action gets approved faster.
  • Don't skip the context. Explain why the number matters, not just what it is.
  • Don't wait for perfect data. Use what you have and note the confidence level.
  • Don't forget the timeline. Attach a date to your recommendation.
  • Don't bury the ask. Put your recommendation in the first paragraph.
  • Don't use jargon like "optimize the funnel." Say "change the hook."
  • Don't assume your audience knows the data. Start with a one-line summary.

Your Win by Friday

By Friday, you'll have shipped one clean analysis with a single recommendation. Your team will approve it because it's clear, actionable, and backed by a simple number. That's the difference between data and a decision.