Incrementality and Budget Calculators
This repository contains four calculators designed to help businesses and marketing teams make data-driven decisions regarding incremental ad spend, return on ad spend (ROAS), cost of sale (COS), and other key metrics. The goal is to provide tools that assist in forecasting, budgeting, and evaluating the potential impact of marketing activities.
These calculators are made available under the Apache License, and we encourage contributions to improve their functionality and accuracy.
About StatBid
Since, 2015 StatBid has focused on helping merchants grow their profit through search. We are passionate about building community and fostering peer learning, believing that cooperation and shared growth benefit everyone. By sharing these calculators publicly, we hope to contribute to the collective knowledge of the industry, reduce wasted ad spend, and improve productivity.
Available Calculators
- Purpose: Helps calculate the Cost of Sale (COS) by considering various business metrics such as average order value, lifetime revenue, cost of goods sold, shipping costs, and other transaction-related expenses.
- Ideal for: Businesses wanting to understand the efficiency of their ad spend and optimize for profitability.
- Purpose: Assists in estimating the impact of changing marketing budgets on COS and revenue. It allows users to input their current spend and revenue and explore the effects of potential budget changes.
- Ideal for: Marketing teams looking to forecast the outcome of budget adjustments and incremental spend.
- Purpose: Provides insights into how changes in COS can affect spend, revenue, and profitability. It helps users visualize the effects of different COS targets on their overall marketing efficiency.
- Ideal for: Businesses aiming to adjust their marketing strategies to achieve desired COS targets and assess the impact on revenue.
- Purpose: Estimates the required budget and time length for running an incrementality test to determine the added value of advertising. It helps calculate the time needed to see a measurable lift in performance.
- Ideal for: Marketing professionals conducting incrementality tests to measure the effectiveness of their ad spend.
Contributing
We welcome contributions! Please feel free to submit issues, feature requests, or pull requests to help improve these calculators. Together, we can build tools that provide even greater value for the community.
License
This project is licensed under the Apache License 2.0, which means you are free to use, modify, and distribute the code with attribution. For more details, please refer to the LICENSE file in this repository.