Strategy Pace Chart
The Budgeting tools in Marin provide both a budget Pace tool and a budget Plan tool to help you plan and optimize your monthly budgets. The Pace tool allows you to forecast your publisher spend for the current month, while the Plan tool summarizes various spend targets and the corresponding KPIs (Key Performance Indicators) for the current month. Y...
Budget Pacing Dashboard
Marin's Pace to Spend objective automates hitting your spend targets by adjusting campaign daily budgets. Strategies using the Pace to Spend objective appear on the Optimize > Pacing Advanced machine learning predicts your spend based on seasonal patterns and adjusts your spend according to the goals and rules you specify. How To Using Pacin...
Strategy Recommendation Calculations
This article details how the Recommendations for a Strategy are calculated and sent to the publisher. Columns The campaigns grid has new columns showing the Strategy recommendations: Column Description Rec. Campaign Budget The ideal recommended budget for the specified target. Adj. Rec. Campaign Budget The recommended budget given settings such as M...
Dynamically Allocate Budget to a Monthly Target (SBA)
Overview Used for clients or prospects wishing to deploy a dynamic allocation of campaign daily budgets across a broader array of publishers than is currently available through Ascend Dynamic allocation. Allocated budgets according to: The remaining budget for each SBA Strategy budget group Remaining days in the month Historical spend and spend pote...
Maximize Conversions / Revenue Strategy Goals
Marin gives you the tools to take control of your performance marketing budgets to maximize impact and return on investment by dynamically allocating budget to the most productive campaigns. Maximize Conversions and Revenue Strategy Goals Maximize Conversion and Revenue are the strategy goals for marketing looking to get the best performance from t...
Forecasting FAQ
Do the models consider impression share? Yes, the models themselves will be different depending on impression share; if you're already at 100%, expect far flatter slopes. Google simulations are sensitive to impression share, and Marin models have dedicated models for high/medium/low/unknown impression share brackets. Other constraints such as budg...