Bonkers.corner, a Mumbai-based streetwear brand, faced intense competition for Gen Z attention while relying heavily on Meta photo ads. To improve efficiency without increasing budget, they partnered with Meta to test a creative diversification strategy. By adding video ads in Reels alongside their usual static photos, they achieved a 20% lower cost per purchase and a 25% increase in overall purchases during a September 2025 test.
The mix of vertical video and static images reduced ad fatigue and captured diverse audience segments. Additionally, they shifted from using creators solely for acquisition to building a content engine focused on authenticity. Partnering with micro-creators produced lo-fi, relatable video that blended seamlessly into feeds, driving high organic discovery and low-cost customer acquisition.
Key takeaways for ad ops decision-makers: diversify creative formats (static + short-form video), embrace authentic creator content to build trust, and use structured A/B testing to measure impact. Bonkers.corner’s success shows that polished product shots tell only part of the story; dynamic, creator-led videos add human context and styling inspiration, enabling Meta’s AI to efficiently reach the right audience.
What's notable here is how Bonkers Corner's results reinforce a broader industry signal: the era of static-only ad campaigns is fading, especially for D2C brands targeting Gen Z. The 20% lower CPA and 25% purchase lift from mixing Reels video with static photos isn't just a tactical win—it's evidence that algorithmic ad delivery now heavily rewards creative diversity. Meta's AI, trained on engagement signals, clearly prioritizes formats that hold attention longer, like vertical video.
The key implication for UA teams is that testing a blend of formats isn't optional; it's becoming a baseline requirement for efficient scaling. Additionally, the pivot to lo-fi, creator-driven content underscores a competitive angle: authenticity now outperforms polish. By relying on micro-creators, Bonkers Corner essentially outsourced trust-building—a scarce resource in an era of ad fatigue.
This aligns with broader market conditions where privacy changes (e.g., iOS ATT) have reduced targeting precision, making creative relevance paramount. For monetization strategists, the takeaway is clear: invest in video-first creative strategies and partner with creators who resonate naturally with your niche. The algorithm will do the rest.
Meta announces end-to-end creative AI tools enabling brand-aware ad generation, testing, and optimization for all marketers. Key updates include a unified Creator Marketing Hub combining Instagram and Facebook creator discovery, plus AI agents connecting customer conversations to conversions. A study of 1M+ campaigns shows $4.13 average revenue per dollar spent (up 25% since 2022). New features: brand memory for consistent creative, enhanced text generation, language translations (11 languages), and integrated creative approval workflows.
TikTok's Symphony Agent is an AI-powered creative engine that helps advertisers produce trend-driven ads at scale. It powers Symphony Creative Studio for video generation from prompts, Content Suite for AI search of relevant creator videos, and TikTok One for streamlined creator matching and outreach. Key benefits include leveraging platform signals to generate authentic content, reducing manual effort, and enabling fast A/B testing. A limited offer provides ad credits for new SMB advertisers spending $100-$1500.
Meta introduces the Holiday Insights Center, offering data-driven strategies for small businesses to maximize holiday sales. Key insights: 85% of shoppers buy in-store after seeing products on social media; 59% message businesses during holidays; AI adoption is rising among shoppers and can streamline operations; 94% of shoppers use creator content for guidance. Advertising ROI is strong: $4 back per $1 spent. Actionable steps include optimizing social profiles, enabling messaging tools, leveraging AI, collaborating with creators, and updating data setups like Meta Pixel and Conversions API. The free Holiday Playbook provides step-by-step guidance.
Customer lifetime value (LTV) is a critical long-term metric for app success, but most marketers measure it per-device, understating true value by 2-5x. Cross-platform LTV stitches together web, app, CTV, and more, attributing all revenue back to the original acquisition campaign. Key drivers include retention (5% increase boosts profits up to 95%), purchase frequency, average order value, and acquisition quality. To improve LTV, focus on retention, cross-platform adoption, and optimizing acquisition by predicted LTV rather than CPI.
Meta's research shows 82% of consumers need to trust a brand before buying, while 79% demand convenience—these are dual expectations, not segments. The winning holiday strategy integrates brand-building (hearts) and performance (carts) using creators, Reels, and AI tools like Advantage+ campaigns. Brands should start early: audit product catalogs for AI discovery, identify creator partners by Q2, and set up Advantage+ foundations now. Peak performance requires proven campaigns by Q4, not last-minute launches.
ROBINMAY used Reels and AI optimization to expand from women to men without rebranding. Meta's Opportunity Score identified Reels as an untapped lever. By repurposing existing assets into short-form video, they reached male shoppers cheaply and effectively. The approach scaled to cross-border expansion, proving that changing format, not identity, unlocks new audiences. For ad ops: let AI surface gaps, invest in versatile creatives, and build repeatable systems.
Marketing attribution is critical for connecting spend to revenue, but platform self-reporting and last-click bias distort budget decisions. Single-touch models (first/last-click) are simple but miss the full journey; multi-touch models (position-based, data-driven) are more accurate but require robust data. Mobile attribution is particularly challenging due to ATT, SKAdNetwork, and cross-platform gaps, necessitating a mobile measurement partner (MMP) for independent, deduplicated measurement. Clean attribution data is essential for AI-driven optimization—bad signals lead to bad decisions. Starting with position-based attribution and incrementality testing provides a practical foundation.
Cross-platform measurement resolves the common problem of fragmented, device-level reporting that inflates ROAS and misallocates budgets. By unifying customer identity across web, mobile, CTV, and other surfaces, marketers gain a single view of LTV and attribution. AppsFlyer provides this via CUID stitching and Product Line grouping, enabling real-time, deduplicated insights without manual BI work. Key benefits include accurate cross-platform ROAS, elimination of duplicate attribution, and reliable data for AI-driven optimization.
Meta introduces the Holiday Insights Center, offering data-driven strategies for small businesses to maximize holiday sa...
ROBINMAY used Reels and AI optimization to expand from women to men without rebranding. Meta's Opportunity Score identif...
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