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Product Management Metrics Question: Measuring success of an automated bidding platform for digital advertising
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Nextsprints

Updated Jan 22, 2025

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How would you measure the success of New Engen's Automated Bidding Platform?

Product Success Metrics Medium Member-only
Metric Definition Data Analysis Strategic Thinking AdTech Digital Marketing SaaS
Product Metrics Digital Advertising ROI Optimization Automated Bidding

Introduction

Measuring the success of New Engen's Automated Bidding Platform requires a comprehensive approach that considers multiple stakeholders and metrics. This product success metric framework will cover core metrics, supporting indicators, and risk factors while addressing the needs of key stakeholders.

To effectively evaluate the Automated Bidding Platform, we'll examine its context, define clear goals, establish a North Star Metric, and identify supporting and guardrail metrics. We'll also consider trade-offs and counter metrics to ensure a balanced view of success.

Framework Overview

I'll follow a simple success metrics framework covering product context, success metrics hierarchy, and strategic initiatives.

Step 1

Product Context

New Engen's Automated Bidding Platform is a software solution designed to optimize digital advertising spend across multiple channels. It leverages machine learning algorithms to automatically adjust bids in real-time, maximizing ROI for advertisers.

Key stakeholders include:

  1. Advertisers: Seeking improved ad performance and ROI
  2. New Engen: Aiming to increase market share and revenue
  3. Ad platforms (e.g., Google, Facebook): Looking for increased ad spend

User flow:

  1. Onboarding: Advertisers input campaign goals, budget, and constraints
  2. Setup: The platform integrates with ad accounts and imports historical data
  3. Optimization: AI algorithms continuously adjust bids based on real-time performance
  4. Reporting: Users monitor performance and adjust strategies as needed

The Automated Bidding Platform fits into New Engen's strategy of providing cutting-edge marketing technology solutions. It competes with similar offerings from companies like Marin Software and Kenshoo, differentiating itself through advanced AI capabilities and multi-channel optimization.

Product Lifecycle Stage: Growth - The platform has proven its value but is still expanding its user base and feature set.

Software-specific context:

  • Platform: Cloud-based SaaS solution
  • Integration points: APIs for major ad platforms (Google Ads, Facebook Ads, etc.)
  • Deployment model: Continuous integration/continuous deployment (CI/CD)

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