1️⃣ Start with the right questions. Are we driving clicks, conversions, or engagement? Knowing what we’re measuring ensures the data informs the copy. 2️⃣ Look beyond surface metrics. Open rates and likes are great, but I dig deeper: Which headline led to the most conversions? Where did users drop off?... 3️⃣ Test, analyze, refine. I treat every campaign as an experiment. A/B testing allows me to compare variations, understand what works, and continuously improve copy based on real insights. 4️⃣ Focus on storytelling with numbers. Data tells what happened, copy tells why and how. I use analytics to identify trends and craft messaging that speaks directly to audience behaviours and needs.

Ouvir o público é o segredo para criar um copy que realmente conecta. Dá para juntar números, como a taxa de cliques, com o que as pessoas falam em enquetes ou comentários. Se o público acha o texto confuso, e você vê que muita gente sai rápido da página, é o sinal perfeito para ajustar. Refaz o copy, testa uma nova versão e fica de olho no impacto. Esse ciclo esperto não só melhora o texto, mas também deixa claro que você está ligado no que a galera quer.

1. Determine our objective first, is it for increasing revenue, or generating leads, or bringing more awareness 2. After knowing our objective, I recommend to make experiments. How to do this? For example make a copy for the product for a month. After one month we have all the copy and performance of each copy 3. Then put all the copy and result in a simple sheet. This to identify which copy that converts more based on our objective in the first poin 4. After knowing the copy that works, you can make a similar copy with the same pattern for the next month 5. Always do the experiment to your audience with various copy and circle back again to poin 1

To bridge the gap between data analytics and copy performance, focus on aligning insights with creativity. 1. Start by setting clear goals like increasing engagement or conversions so both teams are on the same page. 2. Use audience data to understand what they need and craft messages that truly resonate. 3. Experiment with A/B testing to see what works best and refine your approach. 4. Most importantly, encourage collaboration between data and content teams to ensure the strategy feels unified and impactful. It’s all about combining data with a human touch to create content that connects. Hope that helps :)

To bridge the gap between data analytics and copy performance, use a combined approach: 1. Data-Driven Insights: Analyze metrics to identify trends, preferences, and areas for improvement. 2. Copy Optimization: Refine copy based on data insights, ensuring resonance with the target audience. 3. A/B Testing: Systematically test variations to validate hypotheses and inform future optimizations. 4. Continuous Monitoring: Regularly review performance, adjusting strategies to maintain peak effectiveness. 5.Collaborative Review: Unite data analysts and copywriters to ensure harmonized goals and maximized impact.

As a copywriter, I use data to guide my creative decisions—whether it’s through A/B testing or analyzing audience behavior. The key is always staying adaptable and refining copy based on real-time insights.

Preencher a lacuna entre a análise de dados e o desempenho da cópia exige a integração de insights quantitativos com uma abordagem qualitativa e criativa. O primeiro passo é definir métricas específicas para avaliar a performance da cópia, como taxa de cliques, conversões e tempo médio na página, utilizando ferramentas como Google Analytics ou Meta Ads Manager para monitorar esses dados. Em seguida, realize testes A/B consistentes, comparando diferentes versões da cópia para identificar quais elementos geram maior engajamento e conversões. A segmentação do público com base em dados comportamentais e demográficos é essencial para ajustar a linguagem e o tom da mensagem, tornando-a mais relevante para cada grupo.

KPIs und A/B-Tests sind hilfreich, aber die eigentliche Lücke schließt man, indem man die Menschen hinter den Zahlen versteht. Statt die Daten nur als Zahlen zu sehen, sollte man die Bedürfnisse der Zielgruppe dahinter erkennen und in eine Geschichte umwandeln, die überzeugt. Nur so entstehen Texte, die echte Ergebnisse liefern.

En los negocios, existen 2 habilidades CLAVE: - Contar historias. - Analizar datos. Y lo mismo sucede en Marketing: es un 50% creatividad y 50% análisis de datos. Es MUY importante respetar ambos aspectos, porque sin uno, el otro estaría desequilibrado. Pero, ¿cómo puedes usar los datos para mejorar tus textos? Haciendo pruebas A/B. Al comparar 2 versiones de un texto, puedes saber qué funciona mejor para tu público y por qué. Estos tests te permiten aprender más rápido y ajustar sobre la marcha. Al final, no se trata solo de ser creativo o de seguir datos fríos. Se trata de crear un mensaje que conecte y, al mismo tiempo, se pueda medir y mejorar.