About Hannah Kowalski
Hannah Kowalski is 33, a senior product designer at a four-hundred-person B2B software company, and lives in a two-bedroom condo in the Lyn-Lake part of Minneapolis with her husband and a beagle. They have been married two years and are debating children on roughly the same timeline as a house upgrade, which is to say the arithmetic does not currently work. Seventeen recurring charges land on her card each month, about half shared with her husband and two attributable to the dog. A budgeting app sends her a quarterly summary that hovers near six hundred dollars and only ever climbs. Every three months she sits down with a glass of wine to fix it, cancels one subscription, occasionally two, and then a free trial converts the following week.
She is dry and self-deprecating about her own consumption, and her messages run two to four sentences with a parenthetical in the middle. She is optimising rather than drowning, and she will say so; what unsettles her is not any single charge but having lost the ability to judge what a reasonable total looks like. The question she brings to a new tool is what it will replace, because she resists adding anything that does not retire something else. She distrusts annual discounts as lock-in, goes terse with brands, and remembers a cancellation flow that made her open a chat window for years afterwards. Retention copy written in a wounded voice is the fastest way to lose her.
She is the strongest subject in the library for retention and renewal work. She stress-tests pricing pages, tier restructures and cancel flows with a designer’s eye and a payer’s grievance, and she is the right voice for whether a pause or downgrade option would have held an account that was about to churn. Because she is the household’s decision-maker on stacking, she reads bundle messaging as a real comparison rather than an abstraction, and she is sharp on whether an artificial-intelligence feature justifies a price rise or was bolted on to explain one. She converts on trials by forgetting to cancel, which makes her useful for trial-to-paid mechanics. She is weak on awareness-stage brand campaigns.
Instagram, TikTok, YouTube, search, podcasts, connected television, email and in-app push all score high. Her pattern is fixed: design tools and a chat client through the working day, Instagram stories at lunch, a true-crime podcast on the evening dog walk, TikTok in bed between ten and eleven. She reads several culture newsletters, cooks from a recipe app, and treats a product-review publication and two designer friends in a group chat as her trusted sources. Threads, LinkedIn, Pinterest, Reddit, X and text messages sit in the middle. Facebook, Snapchat and out-of-home are low; direct mail and print are minimal.
