When analyzing conflicting data in influencer marketing, I focus on a few key factors to determine the true impact. First, I assess whether the influencer’s content aligns with my brand’s values and objectives. This ensures the partnership is authentic. Next, I look beyond surface-level metrics like likes and focus on meaningful engagement—comments, shares, and conversation—that indicate a genuine connection with the audience. Finally, I track conversions, monitoring how many leads or sales are directly attributed to the campaign. By focusing on these core areas, I can cut through the noise and get a clear picture of an influencer's true impact.

Comienza por desglosar las fuentes de información ??. Compara las métricas de engagement, alcance y conversión en distintas plataformas y herramientas para ver si alguna fuente es más consistente o precisa ??. También analiza el contexto de cada dato, considerando factores como la estacionalidad o cambios en el algoritmo, que podrían afectar las cifras ??. Realiza pruebas A/B o analiza las tendencias de interacción a lo largo del tiempo para ver qué tan sostenibles son los resultados ??. Finalmente, consulta con el equipo y valida con métricas cualitativas, como el feedback directo de la audiencia ??. Con esto, puedes lograr una visión equilibrada y respaldada del verdadero impacto de la campa?a ??.

It's crucial to set up clear OKRs before the start of the collaboration based on the result that your client asked you. Most of the time the two results are brand awareness and lead, and I used to see it as reach, click on the link, and sales.

I'd go over the campaigns and see the metrics, not focusing on vanity metrics but metrics that matter depending on the goals and objectives of the campaign. I'd use social listening and monitoring apps to really see what's resonating and track positive and negative comments. Track how many leads or sales are actually driven by these influencer campaigns.

We cross-reference multiple data sources: Compare data from various platforms (e.g., social media, websites, sales data), look for consistencies and discrepancies; Focus on KPIs, prioritize metrics that directly relate to our campaign goals; Implement proper attribution modeling, use multi-touch attribution models, consider both first-click and last-click attribution to get a comprehensive view; Conduct A/B testing, run controlled experiments with and without influencer involvement; Analyze long-term trends&look beyond immediate campaign results; Monitor brand sentiment and awareness over time; Conduct surveys with customers to understand their purchase decisions Consider market conditions, seasonality, or concurrent marketing efforts