Is an Algorithm Your Landlord? Diagnose Platform Dependency for Creators
What percentage of your audience reach this month came from organic vs. paid algorithmic distribution — and what is your plan for the day the platform's algorithm changes? Because it will.
Why this question earns its place.
Content creators and influencers build audiences on platforms they don't own. An algorithm change can cut reach by 80% overnight with no recourse. This diagnostic measures your platform dependency, identifies which channels are rented vs. owned, and maps a realistic path to revenue diversification before the algorithm turns against you.
Inside your deliverable.
A direct answer, in the first paragraph.
No buildup, no throat-clearing. The verdict is on page one, stated the way an experienced operator would state it — number-grounded and specific to the business.
The math, worked out in public.
Back-of-envelope calculations with the assumptions labelled so you can stress-test them. Revenue, margin, and risk magnitudes stated in dollar terms — not hand-wavy percentages.
Evidence cited from the public web.
Claims are grounded in the business's homepage, product pages, reviews, pricing, social proof, and anything else publicly visible. No hallucinated internals.
A "take to your team this week" close.
Every report ends with one concrete experiment or conversation you can run in the next 7 days — the kind of low-cost test that converts opinion into data.
What an answer looks like.
Excerpt · gigdataserv.com
"You're leaving 15-25% of revenue on the table by pricing like a commodity seller when you're actually selling insurance against downtime…
… multiply this across 55,000 items sold over 23 years … $550,000 in cumulative revenue left on the table."
- 01 · Specific, not generic.
- 02 · Number-grounded in dollar terms.
- 03 · Cites public evidence — no fabricated internals.
- 04 · Ends with a 7-day experiment.
- 05 · $5. One report. No subscription.