CAINTE Case Written EN

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.