How CAINTÈ scaled 2212% since the start of the collaboration

CAINTE experienced three primary challenges that were hindering their growth:

1. Lack of creative strategy and emotional brand understanding

‍CAINTE's marketing was previously driven by logical USPs such as fast delivery, customer service, and Trustpilot reviews. However, as a lifestyle and jewellery brand, it was essential to create an emotional connection with customers to strengthen the brand identity and guide potential customers through a natural purchase journey.

2. Inefficient testing set-up and lack of structure in advertising

‍The company was testing too many variables simultaneously in their ad manager on Meta and TikTok. They were constantly experimenting with different audiences, creatives, and messages without having a structured set-up to identify which factors were actually driving sales. This resulted in inefficient budget allocation and an unnecessarily high burn rate on the ad budget.

3. Lack of insight into ad performance and ROI

‍The owner, Mathias, experienced frustration over a lack of transparency in how the ad budget was being spent and which campaigns were generating the most profit. He needed a partner who could ensure a structured approach to data, so he could focus on product development and branding without worrying about inefficient advertising.

To solve these challenges, we implemented a three-step strategy:

1. In-depth onboarding and research

‍We started with an intensive analysis of CAINTE's ideal customer avatar to identify the emotional triggers that drive purchase decisions. Through a creative brief and audience insights, we mapped out how CAINTE's customers related to the brand and what created engagement. The result was a shift in creative strategy from USP-driven communication to brand-building storytelling that appealed to customers' desires and aspirations.

2. Structured funnel execution and AI-driven testing

‍We redesigned CAINTE's ad structure by implementing:

• Dynamic creative testing (3:2:2 model): We let Meta AI optimise and identify the best mix of creatives, copy, and CTAs faster and more cost-effectively than manual set-up.
• AI-based targeting over manual targeting: We let Meta's algorithms optimise messaging to the right segments to reduce costs and improve conversion rates.
• Spark Ads and organic testing on TikTok: We tested creatives organically to identify the best performers before boosting them as paid ads.

3. Transparency and performance tracking

‍To create an effective feedback loop, we implemented:

• Weekly performance analyses: Pattern-based reporting where we analysed trends in performance across Meta and TikTok.
• Triple Whale Attribution: To ensure accurate attribution.
• Ongoing landing page optimisation: To ensure that the brand experience in ads matched the user experience on the webshop, we optimised conversion rates through clearer value propositions and social proof.