I'm Manhal, a writer and data analyst. I help brands write copy that performs because I can actually measure what does.
Most copywriters write what sounds good and hope it works. I write what I have reason to believe will work.
Eight years in data analysis. SQL, Python, AWS Athena. I spend my days reading queries, running models, and pulling patterns out of customer behavior data at scale.
Degree in psychological and health sciences from the University of Toronto. Freelance writing practice across DTC, healthcare, B2B, real estate, parenting media, UX research, dating, and hospitality.
The day job makes the writing better. I know what an open-rate lift looks like. I know which copy moves a 7-day funnel and which doesn't. When I write a hook, I'm pulling from review data I've actually mined. When I draft a subject line, I'm thinking about a real audience, not a fictional one.
A selection from across DTC, healthcare, B2B, real estate, parenting media, and food.









Motherly's sponsor work has to clear a high bar. The voice is specific. First-person. Vulnerable in a real way, not a brand way. If a paragraph reads like ad copy, the editors send it back.
I write dedicated emails, paid social, and IG stories for Motherly's sponsor brands. Every campaign starts with a stack of recent Motherly pieces so the opening line lands as a playground-bench confession, not a brand pitch.
Glance is the daily clinical news brief for working optometrists and ophthalmologists. The audience reads it between exam rooms, so every story has to land in under 400 words and surface the one finding worth changing your practice over.
I take a full peer-reviewed paper, pull the methodology and the stat that matters, and write the Q&A so each question is one a clinician would actually ask. The editor's note that keeps coming back: "low edit, ready to ship."
Media Scaling produces short-form video at volume for DTC brands and creators. Hooks have three seconds to land. Watch-time has to clear platform thresholds. CTAs have to feel earned, not stapled on.
I deliver weekly batches using a slot-machine approach: multiple variants per format, each one pulled from what's already winning on the platform and bent to the brand. Top single script across the roster has crossed 30M views.
I pulled every product review on a Foxybae heat tool, ran a keyword count on the low-star comments, and the same fear kept surfacing: damage. 142 mentions of "damage." 89 of "break." That objection was killing conversion before the script ever got to the demo.
The hook had to name the fear first. Lead with the demo and the viewer who already thinks the product is risky scrolls past it. Open with the objection in her own words, and the script earns the next three seconds.
View duration lifted 4.2x against the prior batch. Click-through doubled. The hook line got recycled into the next round of scripts because it kept working. Opening by naming the top objection from review data is now the default move for any Foxybae launch.
I lead with data tools because the data shapes the writing. AI tools sit in here too, used the way you'd use any other tool. They don't write the copy. I do.
If you've got a project, a brand voice question, or you just want to know if I'm available, drop a line. I usually respond within a day.