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By Zaheer | Updated 11 October 2026 Disclosure: I created the Market Recon Engine skill mentioned in this post and sell it on Agensi. The guidance before that section works without it.   Every founder ends up doing the same late-night exercise: seven browser tabs, a half-finished spreadsheet, and a gut feeling about where the market has room. It is slow, easy to get wrong, and usually ends with a pile of facts instead of a decision. This post explains what a useful competitive analysis should actually contain, and shows a short sample from a real run of Market Recon Engine , a skill I just listed on Agensi that does this research in one pass. What a decision-ready competitive analysis includes A good analysis isn't a research summary you still have to interpret. It gives you something you can act on. These are the six parts I think matter most. 1. Feature comparison matrix The capabilities that actually move a purchase decision, rather than a padded checklist of every ...

By Zaheer | Updated 11 October 2026 Disclosure: I created the Digital Seller Success skill mentioned in this post and sell it on Agensi. The guidance before that section works without it.   Most digital sellers lose money after the sale, not before it. Buyers get access, feel a flash of overwhelm, don't find a fast win, and quietly refund or disappear, long before the product has had a fair chance to work. This post covers the five most common reasons buyers refund, a simple 30-day plan to prevent each one, and the skill I built to put that plan into practice. Why buyers refund: the five real causes Expectation mismatch: the product isn't what the buyer thought they were getting. Overwhelm: too much content or too many options, with no obvious place to start. Technical friction: trouble with access, downloads, or setup. No quick win: the buyer doesn't see any result early, so doubt sets in. Buyer's remorse: second thoughts after paying, espe...

By Zaheer | Updated 11 October 2026 Disclosure: I created the Keyword Forge skill mentioned in this post and sell it on Agensi. The guidance before that section works without it.   Knowing what to write next shouldn't require a $100-a-month subscription. Paid tools like Ahrefs and Semrush give you volume and difficulty data, but they are priced for agencies. The usual alternative is asking an AI for keyword ideas, which produces plausible-sounding phrases from its training data rather than what people are searching for right now. There is a third option: autocomplete suggestions. Every major search box suggests what people actually type, and those suggestions are free and update constantly. This post explains how to use that data for a content plan, and shows the skill I built to automate it. Why autocomplete data is useful Autocomplete suggestions come from real searches, so they reflect live demand. Google, YouTube, Bing, and Amazon each suggest slightly different phras...