# Paul Grieselhuber

Paul Grieselhuber works with direct-to-consumer ecommerce brands on conversion rate optimization and growth. Grieselhuber's posts discuss diagnosing checkout performance, using customer reviews to improve landing-page copy, and checking unit economics before adding acquisition channels.

- Profile: https://b2binfluencer.marketing/creators/paul-grieselhuber/
- LinkedIn: https://www.linkedin.com/in/paulgrieselhuber
- LinkedIn followers: 2,661
- Topics: ecommerce, unit-economics, conversion-rate-optimization, marketing-attribution
- Based on 11 dated posts, latest 2026-10-08

## Summary

Most useful for diagnosing DTC ecommerce conversion and unit economics before adding more marketing spend.

- Best for: DTC Shopify brands with flat sales and margin pressure seeking a diagnostic CRO engagement.
- Not for: Broad-reach awareness campaigns or B2B software and developer-tools thought leadership.
- Check first: Ask for rates, placements, and audience data before committing budget.

### Takeaways

- Check unit economics before adding affiliates or paid acquisition channels.
- Measure checkout completion by product because aggregate conversion can hide differences.
- Use repeated customer benefits and objections from reviews to test landing-page copy.

## Main ideas

- **Fix the economics before adding a sales channel**: Grieselhuber argues that affiliates can distribute a product but cannot make an unprofitable order profitable. If the first order already loses money, paying an affiliate commission can deepen the loss. The sequence: examine unit economics, then add acquisition channels.
- **Measure checkout completion by product before changing the funnel**: Grieselhuber argues that brands may focus on headlines or checkout design without knowing where shoppers actually drop out. Comparing checkout completion across products can help distinguish a site-wide template problem from an issue specific to a product or its offer.
- **Use customer reviews to shape landing-page copy**: Grieselhuber treats reviews as conversion research: they can reveal which benefits customers mention unprompted, what nearly stopped them from buying and the language they use. Compare those patterns with the page’s headline and its answers to common objections. AI analysis may help as a starting point, but the post emphasizes reading reviews, not just counting ratings.
- **Get one usable view of attribution—and scrutinize the product pitch**: Grieselhuber argues that conflicting platform and store reports make it hard for brands to decide where to spend. The proposed answer is a unified view of revenue across campaigns and the Shopify store. Because Ordinary is a product Grieselhuber says they built, treat its claims and offer as a sales pitch and ask for evidence before relying on them.

## Work to read

- [Use customer reviews as conversion copy research](https://www.linkedin.com/posts/paulgrieselhuber_your-customers-already-wrote-your-best-landing-activity-7451739339287543808-qF0r)
- [Checkout completion rate as the first conversion lever](https://www.linkedin.com/posts/paulgrieselhuber_the-single-biggest-move-you-can-make-to-double-activity-7452490327057276928-09_F)
- [Affiliates cannot fix broken unit economics](https://www.linkedin.com/posts/paulgrieselhuber_a-founder-told-me-last-week-they-wanted-to-activity-7455052126415835136-56Hd)
- [A full-scope CRO engagement, described in its own results](https://www.linkedin.com/posts/paulgrieselhuber_45-sales-increase-in-our-first-month-of-activity-7456080617986805760-Vn2v)
- [Ordinary, an attribution platform for Shopify brands](https://www.linkedin.com/posts/paulgrieselhuber_meta-says-you-made-40k-from-that-campaign-activity-7455373139494137856-npPw)

## Brand relationships

- **Ordinary** (owned_business)

## Partnerships

Paul Grieselhuber's five posts make commercial offers to brands: direct-message invitations for a full-scope conversion rate optimization engagement, early access to an attribution product called Ordinary, and a free-month pilot for a CRO engagement. These are services they sell to DTC brands, not paid placements, sponsored posts, or audience-access packages. A brand considering a sponsorship would need to ask directly through the LinkedIn profile or the direct-message invitations.

## Alternatives

- Fatima Rauf: Choose Fatima Rauf when the campaign decision is stuck at the TikTok Shop level rather than at the brand's own checkout. The posts describe two bottlenecks that Paul Grieselhuber's diagnostic sequence does not cover: creator supply and peak-season fulfillment. One walks through a US beauty shop that did $12,962 in gross merchandise value from 22,167 visitors and 299 customers. Demand and content were already working, but growth was capped two weeks before Christmas because all inventory sat in Amazon FBA, bringing slower order flow and volume limits. The other describes TikTok Shops stuck between roughly $7,000 and $10,000 a month, with fewer than five creators posting consistently, no outreach system, no instructions for creators, samples sent without follow-up, and no paid traffic spent. A US toy brand that recruited, instructed, and managed more than 150 creators before buying ads reached $79,040 in gross merchandise value and first place in its category in 45 days. If the same brand's problem is that no creators are posting and holiday fulfillment is throttling spend, this is a closer read on the decision than a unit-economics or checkout-rate engagement.
- Kainan Pires: Choose Kainan Pires when the same buyer decision points to post-click performance on warm traffic. The first post describes a CPG brand whose email program was already clean, with fine open rate, click rate, and deliverability, yet conversion sat under benchmark. Instead of rewriting subject lines, the team built a landing page for the offer and split the next sends against it for non-buyers only: the product page produced 7.7% add to cart and 4.2% conversion; the landing page, 14.1% add to cart and 9.4% conversion, with every order a first purchase. The post sets a 7% conversion benchmark for non-buyer campaigns and treats anything under it as a page problem rather than an email problem. The second post covers a supplement brand with high acquisition cost that was rebuilt as one system, with creator-led ads, a new landing page, email flows, an offer, and a pop-up; cost per acquisition began dropping by week 3. This is the same buyer task Paul Grieselhuber works on, approached from the traffic side: it answers what happens after the click, often where a flat or declining store is leaking.
- Ali Mirzaei: Choose Ali Mirzaei when the bottleneck is TikTok Shop operational scale and the brand already knows its product economics work. One post argues that running a TikTok Shop on the ground requires customer support, inventory, paid ads, promotions, and creator management; offshoring the whole function for $5,000 a month tends to fail because the platform moves too fast. It argues that mass sampling is inefficient and that the real key is curating creators who can make content without instructions. It also details the operational surface: 20 to 30 discount types running at once, weekly flash sales, seasonal pushes, and strict shipping windows where a 48-hour fulfillment delay can trigger suspension or a shop score decline that shadowbans the shop for 30 to 90 days. The author describes building Seller OS at Dimension Studios to replace Seller Center, running creator matchmaking on actual sales data rather than follower counts, and automating more than 80% of TikTok Shop operations, with one operator overseeing 10 shops. The second post quantifies the sampling problem: a shop sent 200 free products to creators; 99% do not respond or request samples, outreach limits hit and can be locked the following week, samples go approved out of desperation, and packages are then untracked against the 14-day posting window. If the campaign decision is about throughput and fulfillment rather than margin, this addresses the constraint directly.

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