# Kofoshi Olayinka

Kofoshi Olayinka is a creative strategist who develops advertising for direct-to-consumer and ecommerce brands, with a focus on customer desires, ad messaging, and creative performance.

- Profile: https://b2binfluencer.marketing/creators/kofoshi-olayinka/
- LinkedIn: https://www.linkedin.com/in/kofoshiolayinka
- Topics: ecommerce, creative-strategy
- Based on 11 dated posts, latest 2026-10-01

## Summary

Most useful for DTC ecommerce ad creative strategy, especially desire research and awareness-stage messaging.

- Best for: A DTC ecommerce brand improving ad creative with a test-and-scale method.
- Not for: A brand seeking fixed sponsorship packages, published pricing, or confirmed audience demographics.
- Check first: Confirm scope, pricing, audience analytics, and whether real account case data exists.

### Takeaways

- Sell the desire people already have, not the need the brand assumes.
- Use different messages for awareness stages: 3%, 17%, 20%, and 60%.
- Treat posts as tests and analytics as results to guide scaling.

## Main ideas

- **Ad creative should sell the desire people already have, not the need the brand assumes**: Kofoshi Olayinka argues that brands waste ad spend by writing around what customers should need, while people actually spend on what they want. The post defines market desire as what people want, multiplied by how badly they want it and how many people want it. The strategist’s job, it says, is to find the most frustrating desire a large group is already losing sleep over and put it at the top of the ad. The method is research, not assumption. Most products satisfy more than one desire, but not all desires are equal.
- **One buy-now message cannot serve customers at every awareness stage**: Kofoshi Olayinka splits buyers into four buckets: 3% ready to buy right now, 17% gathering information and comparing options, 20% problem-aware but unsure what they need, and 60% unaware or unwilling to admit anything is wrong. The argument is that brands running only come-and-buy ads are fighting hardest for the smallest piece of the pie; creative strategy has to speak to all four stages. These percentages are Kofoshi’s working framework, not outside research, so ask for supporting data before applying them to a brief.
- **Organic posts are cheap tests, and analytics decide which ideas to scale**: Kofoshi Olayinka argues that analytics—not guesswork—show why some posts travel and others stall. Viral posts reach second- and third-degree connections; posts that stay within the creator’s network underperform. Posts are experiments and analytics are their results, Kofoshi says, but most people never review those results and repeat the same failed test. They apply the same analytical habit they use to sell for direct-to-consumer brands to their own LinkedIn content.
- **Skill stacking and paid mentorship are treated as an operating system, not a backup plan**: Kofoshi Olayinka describes a self-assembled board of directors watched from afar, with a stated mentorship spend of over $10,000—not necessarily paid in cash, the post qualifies. The lessons map onto how they talk about the work: speed and community building, sales and offer creation, discipline and work ethic, broad thinking and content creation, and large-scale positioning. Each figure is credited individually rather than blended into one influence.
- **A small LinkedIn following is presented as usable career infrastructure**: Kofoshi Olayinka says they missed the 4,000-follower milestone and then 5,000, before writing about reaching 5,300. A content pillar had shown how to make LinkedIn work with fewer than 5,000 followers; this post is the last in that series, closing out the under-5k angle. The reasoning is that job leads, shared opportunities, rejections that forced skill stacking, and connections made on the platform all compound even at low follower counts. The follower numbers and six-to-seven-figure career description are self-reported.
- **The public position is framework-led teaching, rooted in copywriting**: Across the posts, Kofoshi Olayinka teaches by naming a framework, disputing a common assumption, then walking through an example and a next step. Their self-description shifts from copywriting to creative strategy for DTC and ecommerce brands. The labels change while the subject matter stays close: hooks, offers, messaging, and what makes an ad sell.

## Work to read

- [Wants versus needs: market desire and painkiller positioning](https://www.linkedin.com/posts/kofoshiolayinka_i-was-a-really-smart-babe-but-a-terrible-activity-7492844628669399041-u5Fl)
- [Customer awareness stages: 3%, 17%, 20%, and 60%](https://www.linkedin.com/posts/kofoshiolayinka_i-almost-paid-26-million-naira-for-a-creative-activity-7472946655001128960-9nVx)
- [Analytics as ad testing: LinkedIn posts are tests, analytics are results](https://www.linkedin.com/posts/kofoshiolayinka_did-you-notice-linkedin-added-a-simple-feature-activity-7498660699091484672-jmAH)
- [Board of directors: paid mentorship and strategic influences](https://www.linkedin.com/posts/kofoshiolayinka_i-pay-over-10000-in-mentorship-fee-to-these-activity-7476197689169281025-Djuh)
- [From 4k to 5.3k followers: LinkedIn as career infrastructure](https://www.linkedin.com/posts/kofoshiolayinka_i-didnt-celebrate-4k-followers-on-linkedin-activity-7494985578967465984-Pwc5)

## Brand relationships

- **Alex Hormozi** (mention)
- **Dan Koe** (mention)
- **Myron Golden** (mention)
- **Adeife** (mention)
- **Mahdi Shafiei** (mention)

## Partnerships

Across five full LinkedIn posts (June–August 2026) and the linked profile, Kofoshi Olayinka describes client work for DTC and ecommerce brands and promotes their creative strategy services. No rate card, media kit, sponsored post format, audience-deliverable specification, or published inquiry route appears, so there is no off-the-shelf package to price or book. Brands should contact them through their LinkedIn profile to negotiate scope and terms, and expect the conversation to focus on creative strategy services rather than a standard creator placement.

## Alternatives

- Israel Akhuetie: Choose this when the creative problem is the offer rather than the message. Akhuetie's breakdown of AG1 treats falling ROAS as a symptom of a missing offer strategy: teams respond by writing more ads and testing more hooks, while the fix is to increase perceived value and reduce perceived risk. They show the mechanism in detail: a free welcome kit framed as “Save $114,” so the buyer compares value received with price paid, and a 90-day money-back guarantee that removes the risk of a first purchase. The logic is that profit comes from the second purchase and every subscription after it. This is the stronger starting point for a brand with subscription or repeat-purchase economics, or one where price and commitment risk block the first order rather than awareness. Their 28-angle list also provides a ready-made taxonomy — desire, fear and pain, curiosity, proof, authority, story, and offer — useful when the team needs a large volume of angle variants to test, not one deep insight.
- Emilis Karvelis: Choose this when the need is capability building rather than a campaign. Karvelis's three-step blueprint — learn the skills, build a portfolio or case studies, make yourself visible — and the later AI-powered version best serve a brand that wants to build or train an in-house creative strategist, or assess how a junior candidate plans to close the experience gap. The posts specify the steps: watch creative strategy content, read DTC marketers daily, implement AI tools in workflows, do creative audits for brands, design ads from scratch, work for free, and post so brands can find you. The urgency argument is plain: AI can do much of the work, the edge is temporary, so moving early matters.
- Kevin Viet Tran: Choose this when the brand needs to produce scripts and video sales letters at volume, or is deciding how to screen junior creative hires. Tran describes a working cadence in concrete numbers: writing ten scripts a week, analysing the data on every ad, and recording a hypothesis for each test; a first five-minute VSL taking three hours, compared with roughly thirty minutes for a good seven-to-eight-minute unaware VSL later, research excluded; and a daily habit of one idea, one piece of copy, and one ad breakdown. Tran also writes from the hiring side, arguing that a CV with no experience proves nothing; the junior who sends free example briefs and scripts every day beats the one with a polished CV; a free one-week test is the only door that opens at entry level; and they hire hunger over skill because someone who shares the vision applies what they are given. These posts are useful for scaling in-house script production and designing a test-week hiring process.

---
AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/