Configurations

This document provides a comprehensive guide on configuring your Advertising Strategy within the EVA platform. You will learn how to set up core parameters that govern automated advertising optimization, including: 1. Selecting Your Advertising Focus: Choose between various strategies like Growth Focused, Lean Growth, Balanced Approach, Lean Profit, and Profit Focused to align with your business priorities. 2. Choosing the Performance Metric: Understand the differences between ACoS (Advertising Cost of Sales) and TACoS (Total Advertising Cost of Sales) for evaluating campaign efficiency, and set a target ACoS. 3. Defining Bid Boundaries: Establish minimum and maximum bid limits to control automated bidding behavior in advertising auctions. 4. Saving Your Strategy Configuration: Finalize and apply your settings to ensure EVA optimizes your advertising campaigns according to your defined strategy. By following these steps, you will effectively configure your advertising strategy to optimize performance and achieve your business goals.

This help content provides a comprehensive guide on configuring advertising optimization rules within the EVA platform. Users will learn how to automate campaign adjustments based on performance metrics, ensuring efficient management without manual intervention. Key sections include: 1. Opening Optimization Settings: Instructions on navigating to the relevant section within the platform. 2. Creating a New Optimization Rule: Step-by-step guidance on defining rule parameters such as name, action, conditions, and execution timing. 3. Defining Actions: Common actions like adjusting bids or pausing campaigns are explained in detail. 4. Adding Rule Conditions: Users will learn how to set specific metrics and thresholds that trigger the rule. 5. Configuring Execution Timing: Guidance on setting a wait period before the same rule can be executed again to maintain stability. 6. Saving the Rule: Final steps to ensure the rule is active and applied automatically. Overall, this document equips users with the knowledge to effectively optimize their advertising campaigns using automated rules.

This help content provides a comprehensive guide on configuring Dayparting Rules for advertising campaigns. Users will learn how to control campaign behavior based on different hours of the day and days of the week, enabling them to optimize advertising performance. Key sections include: 1. Understanding Dayparting: Learn about the benefits of adjusting bids and budgets dynamically based on performance patterns. 2. Configuration Steps: Detailed instructions on how to open the Dayparting configuration page, analyze performance through a heatmap, and select time slots for rule creation. 3. Rule Types: Insights into time-based and metric-based rules, explaining how they operate. 4. Actions and Parameters: Guidance on configuring actions like bid or budget adjustments and setting specific parameters for those actions. 5. Saving and Managing Rules: Instructions on saving rules, managing multiple rules, and understanding execution order. By following this guide, advertisers can effectively manage their campaigns, improve resource allocation, and enhance overall advertising efficiency.

This article provides a comprehensive guide on configuring Automated Campaign Creation (ACC) within EVA Commerce Intelligence. You will learn how ACC can streamline the creation of advertising campaigns by using predefined templates and optimization rules, eliminating the need for manual campaign setup. Key Sections Covered: 1. ACC Settings Setup: Understand how to access and configure the ACC settings, including budget, scheduling, and product scope options. 2. Campaign Types: Explore different types of campaigns that can be automatically generated, each designed for specific advertising strategies and targeting methods. 3. Strategy Optimization Rules: Learn to create rules that dictate how campaigns are generated, including setting budget limits, bidding strategies, and target counts. By following the steps outlined in this article, you'll be able to effectively set up automated campaigns that are tailored to your advertising needs.

This help content provides a comprehensive guide on how to review AI advertising decisions using the AI Decisions page. Users will learn how to navigate the page, understand the decision log table structure, identify different types of optimization actions, and utilize filtering and search functions to efficiently analyze automated decisions. Key sections include: 1. Navigating to the AI Decisions Page: Step-by-step instructions to access the decision log. 2. Understanding the Decision Table Structure: Explanation of the data recorded for each AI decision. 3. Identifying Decision Types: Overview of common optimization actions, such as bid adjustments, negative keyword decisions, and status changes. 4. Filtering and Searching: Tools to focus on specific types of decisions or campaigns. 5. Adjusting the Date Range: How to select time periods for decision analysis. 6. Customizing Table Columns: Options to tailor the view of the decision log. 7. Reviewing Decision History: Techniques to monitor and verify optimization behavior over time. By following this guide, advertisers can effectively track and understand the automated optimization decisions made by EVA’s advertising system.