FAQ
What services does Predictiv provide?
Our services are rooted in applied mathematics, machine learning, and years of industry expertise.
We help clients achieve measurable improvements in their marketing performance by understanding how each activity or channel affects sales.
Whether it’s optimizing ad spend or predicting future trends, Predictiv is here to guide you through smarter, data-driven decision-making .
How does Preditiv help businesses make decisions?
Predictiv is focused on delivering actionable insights tailored to meet the specific needs of businesses. Our dashboard is intuitively designed around distinct user journeys, ensuring that insights are accessible and meaningful across all levels—from junior media buyers to CFOs.
What sets Predictiv apart is our bottom-up approach , where insights are built from granular data to provide a more detailed and accurate understanding of performance drivers. This contrasts with the traditional top-down approach, enabling more precise and customised recommendations.
Additionally, Predictiv understands the unique requirements of businesses from the standpoint of media buyers and marketing agencies . Our solutions are built with a practical focus on how these professionals operate, ensuring that our tools are relevant and impactful in optimising their execution of your strategies.
What type of data is needed for analysis?
The scope and accuracy of our analysis depend on the data provided. At a minimum, we require key performance indicators (KPIs) such as sales data or new customer acquisition metrics. To enhance the depth of our insights, additional data—such as media spend by channel, pricing information, distribution metrics, and promotional activities—will be essential for relevant analyses.
The exact data requirements will be clarified during initial discussions to align with the agreed project scope and objectives. Our team will work closely with you to identify the most valuable data sources, ensuring we deliver actionable insights tailored to your business needs
What is the timeline for the model?
Upon onboarding, your team will gain immediate access to our micro-tools, providing quick insights to begin aligning strategies. The most time-intensive phase is usually data collection, which depends on the availability and quality of the provided data. Once the data is consolidated, our team typically requires 2-3 weeks to develop and refine the models, though this may vary based on the task’s complexity and scope.