Phase 1

Account Audit & Listing Readiness Review

We began with a comprehensive audit of bewants' existing Amazon advertising account, reviewing campaign structure, keyword targeting, and spend allocation to identify inefficiencies and missed opportunities. Alongside this, we reviewed the brand's existing listings to ensure they were optimized for advertising performance, from image and content readiness to conversion-supporting elements, laying the groundwork for a stronger, more scalable PPC strategy.

This audit surfaced several structural issues, including overlapping keyword targeting and budget spread too thin across low-performing campaigns, both of which were diluting overall ad efficiency.
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Phase 2

PPC Strategy Development & Campaign Execution

Based on the findings from our audit, we rebuilt bewants' Amazon advertising framework from the ground up, developing a full-funnel PPC strategy across Sponsored Products, Sponsored Brands, and Sponsored Display campaigns. Campaigns were structured around high-intent, conversion-focused keywords, with clear separation between TOFU and BOFU targeting to maximize both discovery and conversion efficiency.

We executed this strategy with a strong focus on eliminating wasted ad spend, reallocating budget toward the keywords and placements driving the strongest returns, and building a foundation for consistent, scalable growth.

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Phase 3

Continuous Optimization & Creative Expansion

In the beauty and skincare category on Amazon, competition is especially fierce, standing out requires more than efficient bidding; it demands constantly fresh, engaging creative that can capture attention in a crowded field. With this in mind, Disrupt shifted focus toward continuous testing and creative expansion, regularly refining campaign structure and budget allocation based on real-time performance data.

To keep pace with the category's need for constant creative rotation, we leveraged AI-generated video creative to produce eye-catching, scroll-stopping content for use across Sponsored Products video ads, Sponsored Brands video ads, and bewants' Amazon Brand Store. This allowed us to test and iterate on video creative far more efficiently than traditional production would allow, continuously refreshing ad content to edge out competitors and sustain strong performance over time.

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Phase 1

Setting the Strategic Foundation

Disrupt developed a Meta and TikTok advertising strategy for bewants centered on driving purchase intent and traffic toward the brand's Amazon storefront, while building broader brand awareness among U.S. beauty shoppers. Audience targeting focused on individuals interested in K-beauty, skincare, and self-care, layering interest signals to define precise, high-relevance audience segments.

To execute this, Disrupt leveraged Meta Advantage+, Detailed Targeting, and Retargeting Audiences to build an efficient budget allocation framework, complemented by an Ad Group Budget Optimization (ABO) strategy to maximize daily spend efficiency and closely monitor performance across campaigns.

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Phase 2

Fueling Campaigns with Fresh Creative

To keep pace with the volume and freshness of creative needed to perform on Meta, Disrupt led a dual-track content approach. We produced new, eye-catching ad creatives using AI-generated video and image assets, allowing for faster iteration and a wider range of creative concepts than traditional production alone could support.

Alongside this, we sourced bewants' existing UGC content and re-edited it into more engaging, ad-ready formats, optimized for scroll-stopping performance on Meta and TikTok. This combination of AI-generated and creator-sourced content ensured a steady pipeline of fresh, high-performing creative to fuel ongoing testing.

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Phase 3

Testing, Scaling, and Refining Performance

Following launch, Disrupt continuously optimized performance through audience refinement and creative A/B testing, identifying which combinations of creative and targeting drove the strongest engagement and conversion signals. High-performing creatives and audience segments were scaled, while underperforming combinations were quickly phased out to protect efficiency.

This structured, data-driven approach to testing and optimization strengthened bewants' brand presence on Meta and TikTok and drove measurable improvements in traffic and purchase intent flowing to the brand's Amazon storefront.

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Phase 1

Sourcing Creators Who Fit the Brand

Ahead of Amazon's Big Spring Sale, Disrupt led a TikTok influencer campaign for bewants' Seaweed PDRN Glow Peel Off Mask, designed to drive awareness, curiosity, and trend association through short, organic-style content rather than polished ads. We built out selection criteria targeting U.S.-based micro-influencers on TikTok with 500+ followers, then searched, vetted, and contacted creators whose content and audience aligned with the brand, ultimately building a roster of 70+ influencers for the campaign.

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Phase 2

Guidelines, Seeding & Ongoing Coordination

With creators confirmed, we developed detailed campaign guidelines covering content format and tone, then coordinated product shipping to each influencer. Throughout the campaign, we maintained close communication with all 70+ creators, monitoring content as it came in, flagging misalignments with brand guidelines, and following up to keep posting on track within the campaign timeline.

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Phase 3

Monitoring, Reporting & Performance Analysis

As content went live, we tracked performance across all posts, ultimately generating 82 pieces of content (77 TikTok, 5 Instagram) that reached over 53,000 users and drove close to 7,900 total interactions, for a 14.71% engagement rate, well above the typical 3–6% benchmark for micro-influencer campaigns. Beyond surface metrics, we analyzed what separated high- and low-performing content, isolating patterns such as strong hooks, native talking-to-camera formats, and visual-first demonstrations as key drivers of engagement.

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