
Investment Forecasting
With 25+ years & 10,000+ campaign experience, we have developed proprietary planning and modeling to accurately forecast return
Our Approach To Lead Forecasting
Élan utilizes a four-step methodology to deliver a comprehensive forecast.
Gathering Inputs
The initial step in the forecasting process is to identify the data we already have, determine the data we need, ascertain where we will obtain the necessary data, and recognize any data that is unavailable. This requires thorough research and the collection of historical data from multiple internal sources. Key factors to consider during this research include investment levels, population size in the targeted area, search volume, seasonality factors, and historical performance metrics.
Data wrangling is a crucial preparatory step in the analysis and forecasting process. It involves cleaning, structuring, and transforming raw data into a desired format to make it more usable and insightful. This process ensures that the data is accurate, consistent, and complete, thus providing a solid foundation for meaningful and reliable analysis. Proper data wrangling enhances the quality of the insights derived and supports informed decision-making.
Data Wrangling
Choosing A Model
Élan carefully selects a forecasting model that best aligns with our specific objectives and the unique characteristics of the data. Élan employs a diverse array of models, each specifically designed to address different forecasting scenarios. Among these models are the Auto Regressive Integrated Moving Average (ARIMA) and Exponential Smoothing (ETS). This comprehensive approach to model selection and application reflects Élan's commitment to delivering high-quality, reliable forecasts that drive business success.
Assessing The Output
Cross-checking the output of a forecasted model with historical internal data is essential to validate the model's accuracy and reliability. By comparing forecasted results with past performance metrics across analogous client datasets, Elan can identify discrepancies, refine our models, and ensure that predictions align with historical trends, leading to more robust and dependable forecasts.

“My company has had a great experience working with the Élan team. They developed reporting that we use every day to make better business decisions. The team is extremely thoughtful, responsive and enjoyable to work with. They understand the complexities of our business and proactively come up with strategies that will work for us.”
- Sarah C.
Predicting Success Through Data-Driven Forecasting
Lead forecasting is vital because it enables strategic planning for future opportunities. Élan analyzes historical data and market trends to project total leads and signed leads. These insights are instrumental for firms, as they help identify lucrative markets to enter, ensuring that investments are directed towards areas with the highest potential returns.
The insights gained from lead forecasts allow firms to determine the required investment to run an effective marketing campaign in the targeted regions. This allows firms to allocate their budgets more efficiently, optimizing their marketing strategies to maximize ROI.
Additionally, lead forecasting plays a pivotal role in workforce planning. By evaluating the anticipated caseloads and lead intake, firms can determine the appropriate staffing levels needed to handle the increased volume of work. This ensures that the firm is well-prepared to manage the influx of leads, maintain high standards of service, and support sustained growth.
In summary, lead forecasting equips firms with the knowledge and tools needed to make informed decisions, strategically allocate resources, and maintain a competitive edge in a dynamic market environment.

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