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Explore real influencer marketing examples from brands like Noshinku, Le Petit Lunetier, and Obvi, with verified results and the platform behind each campaign.
Strong influencer marketing campaigns start with specific goals. Not “build awareness” but “acquire 500 customers under $40 CPA.” The goal shapes everything: which creator tier to pursue, what content formats to test, and how to structure attribution.
Choosing the right creator tier matters more than chasing follower count. Nano influencers and micro creators drive the best cost per acquisition because their audiences trust them. Mid-tier and macro influencers serve different purposes: launch amplification, category awareness, reaching younger audiences at scale. The mistake is treating all tiers the same.
Attribution infrastructure separates campaigns that improve over time from those that stay static. You need unique discount codes, UTM links, and post-purchase surveys to connect creator activity to revenue. Without this, you cannot tell which influencers share personal stories that convert versus those who just generate vanity metrics.
Several influencer marketing examples below were run through AMT, an AI-native creator marketing platform that automates creator discovery, outreach, briefs, content collection, payments, and analytics. The performance metrics in each AMT-powered example come directly from the platform's dashboard. This is real data from real campaigns, not third-party estimates.
Noshinku is a premium hand sanitizer and wellness brand. After the pandemic, they faced a repositioning challenge: shift from necessity items to everyday lifestyle products. They needed scalable creator content for paid social, and their existing creative was not performing.
The approach combined three concurrent programs: gifting, sponsored content, and paid media repurposing. All powered by AMT’s creator marketing automation. Over five weeks, the team tested 110 creator-driven ad creatives using a discovery, optimization, and ROAS-protected scaling framework.
What worked: close-up, tactile product-in-hand visuals with action-focused hooks in the first 2-3 seconds. This format beat lifestyle content by +39% watch time and +27% conversion rate. Engaging content that showed the product in use outperformed traditional ads trying to tell a broader brand story.
The results speak for themselves:
| Metric | Before | After | Change |
|---|---|---|---|
| CPA | $101 | $40 | −60% |
| Daily ad spend | $50 | $150 | +200% |
| Conversion rate | 0.7% | 1.9% | +171% |
| Add-to-cart to purchase | 14% | 29% | +107% |
| Remarketing ROAS | — | 2.3x | — |
| Blended ROAS | — | 1.37x | — |
AMT automated creator sourcing, vetting, outreach, contracts, payments, and performance tracking. That automation made testing 110 creatives operationally realistic for a lean team.
The lesson: Creative testing at volume, supported by automation, is what drives major CPA gains. You cannot guess your way to a 60% CPA reduction.
Le Petit Lunetier is a premium French eyewear brand expanding into Belgium, Switzerland, and other European markets. Their challenge: scale influencer content across 7 markets and 3 languages without hiring more staff.
The approach used persona-driven creator discovery. Instead of filtering by follower count, the team targeted fashion-forward urban professionals, eyewear enthusiasts, and lifestyle micro influencers whose target audience matched the brand values.
AMT handled multilingual outreach across seven markets and three languages, contract negotiation, shipping coordination, content collection, compliance tracking, and usage rights management from one dashboard. Campaign launch speed improved from 3-4 weeks to 5-6 days between creator activation and paid media deployment.
Key results from 30 days:
Persona-based selection improved content consistency across markets. When you pick creators whose audiences genuinely care about eyewear, the social media posts perform. Brand messaging stays coherent because creator and brand identity align.
The lesson: The real bottleneck in multinational influencer programs is operations, not finding creators. Automation removes that bottleneck.
Wild Nutrition is a UK-based premium supplement brand with multiple wellness product lines: Sleep, Energy, Hormone Support, and Daily Essentials. Each line speaks to different potential customers with different needs.
The challenge was scaling creator content across these product categories without adding headcount. The solution: persona-driven creator selection matching wellness advocates to Sleep products, fitness experts to Energy products, beauty influencers to Hormone Support, and parents to Daily Essentials.
AMT automated discovery, outreach, shipping, content collection, compliance tracking, and performance tracking to maintain an always-on creator engine. Over 8 months, the program uncovered which creator types drove the best engagement rate and conversion for each SKU. That data now informs every future wave of creator selection.
Results over 8 months:
The internal team focused on strategy and brand messaging while AMT handled the operational layer. This is what building genuine relationships with creators at scale looks like.
The lesson: An always-on influencer marketing program is a system that compounds learning over time, not a one-off campaign.
Reading.com is an EdTech platform helping families teach children to read at home. Education is a trust-sensitive category. Parents do not respond well to polished brand ads when making decisions about their children’s learning.
The challenge: create trustworthy, emotional content without overextending a lean team. The approach used persona-based outreach to teachers, first-time parents, homeschool families, neurodivergent-affirming educators, and bilingual households. A diverse group of creators whose own voice resonates with niche audiences.
Content formats tested included progress videos documenting reading milestones, emotional personal storytelling, app walkthroughs, and day-in-the-life clips. What worked: unscripted parent testimonials and “I can’t believe this just happened” moments. This user-generated content significantly outperformed polished brand assets.
Results over 9 months:
| Metric | Result |
|---|---|
| Creators activated | 334 |
| Content pieces produced | 826 |
| Total views (organic + paid) | 29 million |
| Videos surpassing 1M views | 7 |
| Videos surpassing 100K views | 20 |
AMT centralized creator communication, content collection, usage rights, and performance reporting. The team focused on narrative and positioning while the platform handled everything else.
The lesson: In trust-sensitive categories, real user stories from the right personas become both a growth and product validation engine.
Neoplants is a bioengineered plant startup launching its Power Drops product in the US market. Product launches live or die by momentum in the first 72 hours.
The challenge: orchestrate a high-impact creator-led launch with many influencers posting at once while keeping a small team focused on strategy. The approach used AI-driven creator identification targeting eco-conscious lifestyle influencers and lifestyle creators whose audiences care about sustainability and wellness.
AMT automated creator sourcing, outreach, negotiation, content collection, post tracking, and usage rights management to synchronize launch timing. Having 91 creator partnerships going live on launch day created a wave of organic-feeling content. Not a single hero post but coordinated coverage that felt like internet culture catching on.
Launch day results:
Tight creative guardrails in the briefs kept the brand story consistent while allowing each creator creative freedom in their own voice.
The lesson: Coordinated, high-volume launch-day coverage is only realistic with automated influencer management.
Obvi is a wellness and supplements brand active on TikTok and Instagram. Their problem: agency-produced videos were expensive, slow to turn around, and not performing like native Reels and TikTok content. Traditional advertising formats felt out of place on social platforms.
The solution: shift budget from agencies to a creator-sourced UGC engine run through AMT. The focus was nano and micro creators who produce high quality content that looks native to the platform.
AMT automated sourcing, outreach, creator onboarding, content collection, and usage rights management. The brand could scale from small tests to hundreds or even 1,000+ creators using the same workflow.
Core results:
When brands pay influencers to create content that matches how their audience already consumes media, performance improves. Obvi's Instagram follower count increased as UGC frequency rose.
The lesson: Creator-sourced UGC reduces costs while improving native performance for social-first brands.
Every successful influencer marketing campaign above started with a specific performance goal. Target CPA, target ROAS, content volume requirement. Not vague awareness aims.
Persona-driven creator selection and audience fit mattered more than raw follower count across all brands. Le Petit Lunetier chose eyewear enthusiasts. Reading.com chose homeschool parents. The right influencer is the one whose audience matches your customer.
Each program ran at meaningful volume. You need enough data to know which creatives and creators truly work. Running 5 creators tells you nothing. Running 100+ reveals patterns.
Organic influencer content was systematically repurposed into paid ads across every campaign. This turns influencer marketing into a creative testing engine. You boost engagement on winning organic posts, then scale them as paid partnerships.
Automation through AMT removed the operational bottlenecks that typically limit creator programs. Lean teams managed hundreds or thousands of creators without increasing awareness of every operational detail manually. That is the key takeaway from these influencer marketing campaign examples.
These results are not outliers. They are what influencer marketing looks like when it runs as a system.
The common denominator is structure, not massive budgets. Clear goals that define success before content creation begins. The right creator tiers matched to those goals. Attribution infrastructure that connects creator activity to direct sales. And automated workflows that make scale possible without adding headcount.
When run this way, creator programs generate two outputs simultaneously: a high-performing content library and a pipeline of winning paid media creatives. Brand loyalty builds through long term influencer partnerships. Consumer interest compounds as you generate buzz across social media platforms.
The infrastructure exists. The playbook is proven. The question is whether you are ready to run it.
Want to see more examples of what is possible? Browse AMT’s full case study library or book a demo to see what AMT can do for your creator program.
Strong influencer marketing examples include Noshinku cutting CPA from $101 to $40 in five weeks through micro creator content testing at volume. Le Petit Lunetier activated 2,000 creators across 7 European markets in 30 days, achieving 5.8x ROAS. Reading.com generated 29 million views through authentic parent-led creator content over 9 months, with 7 videos surpassing 1 million views.
The most successful influencer marketing campaigns share three elements: a specific, measurable goal (not just “build awareness”), the right creator tier for that goal (nano and micro influencers for conversion, macro influencers for launch amplification), and proper attribution infrastructure. Tools like unique discount codes, UTM links, and post-purchase surveys connect creator activity to business outcomes. Volume matters too. Testing 10+ creators generates the data needed to identify what actually works.
Brands measure influencer marketing results through attributed revenue tracked via promo codes and UTM-tagged links, engagement rate per creator, CPA, and ROAS. Post-purchase surveys capture sales that codes and links miss. AMT centralizes creator performance data inside a single dashboard, making it significantly easier to track which creators drive real revenue. Real-time analytics allow teams to double down on winning creators and content formats.
Product-first, story-driven content consistently outperforms polished brand-style ads. The highest-performing formats include unboxings and first impressions, “why I switched” narratives, routine integration showing the product in real daily life, and before-and-after content for products with visible results. Honest reviews build emotional connection. Content with action-driven hooks in the first 2-3 seconds and clear CTAs generates higher watch time and conversion rates than lifestyle content without product focus.
AMT is an AI-native creator marketing platform that automates the full influencer campaign workflow: creator discovery, personalized outreach, content collection, usage rights management, payments, and performance analytics, all from one dashboard. The campaigns featured in this article, including Noshinku, Le Petit Lunetier, Wild Nutrition, Reading.com, Neoplants, Obvi, as well as QRxLabs, Aspen & Arlo, and Stars + Honey, all used AMT to run creator programs at a scale that would not have been operationally viable with manual processes. AMT lets lean DTC teams manage 25–50 creator relationships per month without adding headcount. Explore the case studies or book a demo to see how it works.
