Ilena- Beauty

Projects:

Ilena

Category:

Makeup and Beauty

Time:

11 Months

Location:

Delhi

Ilena- Ecommerce Makeup and Skin care Brand

Ilena is a makeup e-commerce brand selling products like liquid lipsticks, eyeliners, and kajals.
The products were good, pricing was competitive, but like most beauty brands, visibility and trust were the real challenge online.

When we started working with Ilena, the goal was not just to run ads.
The goal was to make people see the product being used, understand it quickly, and feel confident enough to buy.

The Problem Brand Faced:

Ilena was already running Meta ads and Amazon ads on their own, but the results weren’t there. Money was being spent, ads were live, but sales were inconsistent and unpredictable. On Meta, the creatives were promotional and didn’t hold attention long enough. People scrolled past them quickly, which meant high spend without real traction.

On Amazon, ads were running, but without a clear structure or strong product storytelling. Visibility existed, but conversions didn’t follow. The brand had products, pricing, and inventory ready. What was missing was the right content direction and a clear ad strategy. Instead of working together, Meta and Amazon were operating in isolation. There was no flow, no validation of what actually converts, and no clarity on what needed to be scaled. That’s where the gap was.

What We Did for Meta Ads and AI video Ads? 

We started with Meta ads focused on awareness, but not the typical brand-awareness style. For Ilena, ads worked because the content didn’t feel like ads. We created AI-generated creatives that looked completely real , natural faces, realistic lighting, clean movement, and professional editing. Nothing looked artificial or over-produced, and nothing felt “AI-made” to the viewer. But visuals alone weren’t the reason they worked.

Every ad was built around strong hooks and clear scripting. Instead of talking about features or pushing discounts, the content showed real usage, how the lipstick looks when applied, how the eyeliner performs, how the kajal sits on the eyes in everyday wear. The scripting was kept simple and relatable.
It felt like someone was using the product, not selling it.

  • Efficient Sprint Planning
  • Efficient Sprint Planning
  • Made the ads feel organic inside the feed
  • Better attention on Meta
  • Iterative Delivery Approach
  • Problem-solving
  • Improved engagement and conversions
  • Higher trust compared to overly polished ads

Because the content felt natural, people watched, related, and clicked, without feeling like they were being sold to. No artificial faces. No obvious AI textures Professional editing, realistic movements, and natural lighting. The final output looked like genuine user-generated content, not AI or studio ads.

Amazon Ads-

  • Product visibility inside Amazon search
  • Converting warm, ready-to-buy users
  • Supporting Meta traffic that later searched on Amazon

Alongside Meta, we ran Amazon ads with a clear sales objective. People searching on Amazon already have intent. So the strategy here was different. This created a multi-touch flow, where awareness from Meta and conversion from Amazon worked together instead of separately.

What Changed for Ilena?

This worked because we didn’t try to make Ilena look like a luxury brand or a viral brand.
We treated it like what it is, a product-led makeup business that needs trust before purchase.

  • Brand awareness improved through usage-focused content
  •  2 active sales channels
  • Ads felt relatable instead of promotional
  • AI-generated creatives performed without looking artificial
  • Amazon ads brought direct, measurable sales
  • Meta and amazon started supporting each other