# Philip Speidel

Philip Speidel shares advice on using user-generated content (UGC) to develop and test paid ads for e-commerce brands. The posts discuss creator quality, audience-focused content and data-led production; Philip Speidel also describes working with the team at Xtreme Socials.

- Profile: https://b2binfluencer.marketing/creators/philip-speidel/
- LinkedIn: https://www.linkedin.com/in/philip-speidel-10964618b
- LinkedIn followers: 3,558
- Topics: paid-ads, creative-testing, paid-social-advertising
- Based on 10 dated posts, latest 2026-09-28

## Summary

Useful for UGC paid-ad testing advice and a repeatable creative pipeline for e-commerce brands.

- Best for: A DTC brand with an established paid-social program needing repeatable UGC ad tests.
- Not for: A brand seeking one-off influencer reach or viral views without testing.
- Check first: Confirm performance data, testing plan, deliverables, production capacity and rates.

### Takeaways

- Gather data before making more ads, then test hooks, bodies and calls to action.
- Judge content by reaching and converting the intended audience, not by views alone.
- One post claims at least 160 ads per shoot day.

## Main ideas

- **Hiring the wrong UGC creators wastes budget**: Speidel argues that most ecommerce brands lose money by working with the wrong UGC creators. Hiring individual creators can look like the cheap, authentic option, but they say it often leads to four recurring failures: inconsistent quality, missed deadlines, creators who don’t understand the product, and content that looks good without converting. Speidel recommends an agency-style partner that writes scroll-stopping hooks, aligns creative with buying intent, delivers high-quality work at scale, maintains consistency across campaigns and uses data to improve month over month. The post closes with three instructions: review whether recent ad creative converts or just fills space, study what works in other industries instead of copying direct competitors, and work with a team built for performance rather than influencers or hobbyists.
- **Find winning ads by testing individual parts at volume, not by trial and error**: Speidel describes the standard approach to UGC creative as throwing work at a wall until something sticks: roughly 70 percent guesswork, with creator output landing about 50-50 in quality. In response, they say the team at Xtreme Socials built and runs a data-driven system that produces at least 160 UGC ads per shoot day. Each ad has multiple hooks, bodies and calls to action, allowing brands to test each element separately and identify a winning creative style within two to three months.
- **Publishing the whole production system for free**: Speidel says the team gave away the entire UGC production engine that clients pay to have implemented in a free webinar, and acknowledges being asked whether that was reckless. The reasoning is partly commercial: brands that adopt the system will need more content, strategy and direction, and some may turn to the founders for help. Speidel calls that a financial benefit and says so openly. They also frame the giveaway as a way to raise the standard of UGC work across ecommerce, helping brands that use the system compete with larger rivals.
- **Viral views are not the same as a buying audience**: Speidel argues that high view counts look good on paper but don’t build brand loyalty or turn viewers into customers. Chasing virality, they say, pulls a brand away from the people who would actually buy. Their remedy is content aimed at a specific niche and built around the audience’s real problems: stop trying to speak to everyone, lead with insight rather than trends, and build connection before chasing conversion. The goal is to become a voice the audience wants to hear from, not just a product.
- **Gather the data before making the creative**: In a post about fourth-quarter scaling, Speidel says there is only one way to scale with UGC content: collect enough data from the brand’s own ad account, competitors’ ad libraries, and UGC work in other markets and industries. They treat that input as the foundation for everything else, writing that without it every other tactic fails. Speidel connects the approach to a free webinar they describe as data focused.

## Work to read

- [Why brands waste money on the wrong UGC creators](https://www.linkedin.com/posts/philip-speidel-10964618b_stopwastingmoneywithcreators-ugcmp4-activity-7329827165003251712-mEE8)
- [Viral views are not followers, and followers are not customers](https://www.linkedin.com/posts/philip-speidel-10964618b_viralvideovsfollowers-socialmediamp4-activity-7331284292167229440-u8wS)
- [Giving away the whole UGC production system](https://www.linkedin.com/posts/philip-speidel-10964618b_i-just-downed-a-pint-of-milk-and-this-is-activity-7359545094955225089-HGQz)
- [The Q4 scaling claim and what it depends on](https://www.linkedin.com/posts/philip-speidel-10964618b_optimise-your-ugc-ad-strategy-for-q4-activity-7364266762281881601-oUz1)

## Brand relationships

- **Xtreme Socials** (employment)

## Partnerships

The posts here do not document a sponsorship or brand-partnership offer for Philip Speidel. The four posts from May to August 2025 are advice posts for e-commerce brands and a promotion for a free webinar run by Xtreme Socials, the team Speidel describes working with. No sponsorship tiers, rates, deliverables, usage terms, exclusivity conditions, or application process appear in the posts here, so a brand cannot plan a paid partnership from what is shown here. This is a gap in what the posts show rather than a statement that Speidel never accepts sponsorships or paid collaborations. A buyer evaluating Speidel for a paid content campaign should treat the absence of published terms as something to clarify directly before committing, and should not read the webinar promotion as a partnership format. The posts themselves show the working relationship model Speidel describes: Speidel says Xtreme Socials builds and runs a UGC production system for client brands, giving away the webinar version of that system while charging brands to have it implemented. That is a service offer to brands, not a creator sponsorship format, and it carries no published pricing, contract terms, or booking route in the posts here.

## Alternatives

- Shahbaz Akbar: For a brand seeking UGC content to support paid growth concentrated on TikTok Shop, Shahbaz Akbar is the stronger choice when the bottleneck is demand creation through creator-led content rather than high-volume ad testing. Akbar argues that TikTok Shop is not old e-commerce with videos: customers scroll rather than search, and the journey depends on content, creators, comments, live selling and product working together. They group winning content into problem-solution, product demonstration and creator review, and say trust beats polish. That fits a brand needing an integrated TikTok Shop system where creator trust and social proof are central to the funnel.
- Jim Schroën: Jim Schroën is a better choice for a brand seeking UGC content for performance ads when it already has a creative strategy but lacks editing and production capacity, or when its UGC content must also support AI search and affiliate visibility. One post recruits editors for short-form and long-form paid-social video ads, including UGC, VSLs and direct-response creatives, and stresses improving editing from performance data. Another says UGC ads for DTC brands are the same creator content AI tools pull from when recommending products, citing affiliate, reviewer and creator networks as an AI visibility strategy. That combination fits a brand needing execution volume plus content that can be cited in ChatGPT, Claude and Google AI, and prepared to build an affiliate or creator network.
- Asad Khan: Asad Khan is the closer alternative when the same DTC brand's problem is store trust, offer clarity or early Shopify and Meta Ads fundamentals rather than a UGC production engine. Khan argues that dropshipping is not dead but cheap-looking stores are, and describes rebuilding a store like a real brand, answering customer questions before they ask, testing multiple creative angles and scaling gradually after finding what works. They also frame marketing around consumer psychology, including desires, fears, motivations and emotions, rather than campaign setup alone, and offer free Shopify and Meta Ads audits by Loom video. That fits a brand needing a diagnostic on the store, product page and ad funnel before committing to a larger UGC testing program, especially at lower spend.

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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/