# Davy Laudet

Davy Laudet works in user-generated content (UGC) and influencer marketing at Flowbox, sharing advice on how eCommerce brands can create, place, and measure creator and customer content.

- Profile: https://b2binfluencer.marketing/creators/davy-laudet/
- LinkedIn: https://www.linkedin.com/in/davylaudet
- LinkedIn followers: 4,345
- Topics: artificial-intelligence, ecommerce, ecommerce-marketing, influencer-marketing
- Based on 12 dated posts, latest 2026-10-04

## Summary

Useful for practical advice on UGC placement, measurement, rights-cleared reuse, and creator mix for eCommerce.

- Best for: An eCommerce brand or SaaS vendor selling to eCommerce brands fixing UGC or influencer programmes.
- Not for: A consumer brand wanting a named creator for sponsored posts to a large consumer audience.
- Check first: Confirm audience data and whether any creator package or rate card exists.

### Takeaways

- Product-page UGC drove four times more revenue than homepage UGC across more than 300 brands.
- 20 creators at around 2,500 followers produced 2.25 times impressions and five times content.
- Judge an influencer platform by rights-cleared reuse and revenue attribution after publication.

## Main ideas

- **UGC is usually underused because of where it goes, not how it is made**: Davy Laudet argues that brands spend heavily briefing creators and reviewing content, then put the result in one spot—a homepage or social profile—and never think about it again, later wondering why it did not move the needle. Different placements do different jobs, so placement is a strategic decision to make alongside the campaign’s content requirements, not after them. The problem is distribution and performance, not content quality.
- **Judge an influencer platform by what it makes possible after the post is published**: Davy Laudet judges influencer marketing software by whether it turns content into a rights-cleared asset the brand can use beyond the social feed. Finding and managing creators, running campaigns, and paying invoices are necessary but insufficient. Campaign value is realized on product pages, in paid ads, and through revenue attribution; a tool that cannot support those uses leaves the brand unable to exploit content it has already paid for.
- **Conversion rate is too narrow a measure for UGC**: Davy Laudet notes that teams understand and trust conversion rate, but argues that it hides part of the return. In Flowbox’s measurement, customers who engaged with UGC differed from other customers in two ways at once; together, those differences produced the revenue effect. A UGC program judged only on immediate conversion can therefore be undervalued.
- **AI-generated content makes authentic customer proof more valuable, not less**: The argument is about supply and buyer skepticism. AI has made brand content cheaper to produce, so there is more of it, and buyers have learned to discount polished messaging made to fill a quota. Brands can generate a thousand polished posts, but the tools cannot manufacture a real customer voluntarily recommending a product they bought, in their own words. That asymmetry is why Davy Laudet sees UGC as increasingly valuable, not superseded by AI.
- **Same spend, smaller creators: volume and efficiency can beat a big name**: Davy Laudet explains the pull toward fewer, bigger influencers as an internal-risk decision: one large name looks good in a planning deck, and if it underperforms, the choice was at least defensible. But the data cited favors a wider pool when the objective is content volume or conversion. The argument is not a blanket rule: pure reach still justifies a bigger name, so the creator mix should follow the campaign objective.

## Work to read

- [Where UGC appears can matter more than the content itself](https://www.linkedin.com/posts/activity-7470059654992252929-ntHN)
- [What an influencer platform should do once the content exists](https://www.linkedin.com/posts/activity-7493276835615784963-XWn2)
- [Look beyond conversion rate when measuring UGC](https://www.linkedin.com/posts/activity-7471146799198732288-xxqL)
- [AI content makes authentic customer proof more valuable](https://www.linkedin.com/posts/activity-7472936116552302592-mhvm)
- [Smaller creators can outperform larger ones on impressions and content](https://www.linkedin.com/posts/activity-7501254881077288960-FpWW)

## Brand relationships

- **Flowbox** (employment)

## Partnerships

No sponsorship or paid-collaboration format is described in Davy Laudet's posts. They appear as a Flowbox staffer writing about UGC and influencer marketing for eCommerce brands, with recurring calls to action for Flowbox's own research, blog articles, and platform pitch—not third-party sponsors. Buyers will find no published creator offering to plan around: no rate card, sponsored-post examples, stated deliverables, or separate commercial terms. The posts discuss commercial requirements from the vendor side: rights-cleared content reuse, connecting a post to revenue, and measuring UGC by placement and spend efficiency. Brands seeking this kind of input should expect to engage Flowbox as a software vendor rather than book them as a sponsored creator.

## Alternatives

- Riley Cronin: Consider Riley for an eCommerce campaign aimed at building a creator community that supplies affiliate and ad content over time. Riley’s post lays out a six-step approach: recruit creators, brief and coach them, test their organic and affiliate content, then invest more in consistent performers. This gives teams a concrete operating model for growing creative supply and identifying potential ad winners.
- Peter Hall: Consider Peter when the main challenge is proving campaign value to finance or improving client reporting. Peter recommends choosing a small set of metrics tied to the campaign funnel, setting attribution expectations at kickoff, comparing results with a benchmark, and stating what the team would change. Those steps can strengthen measurement in the same UGC and influencer programme.

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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/