What features could Simpli.fi add to its cross-device attribution reporting to provide more actionable insights for advertisers?

Introduction

To improve Simpli.fi's cross-device attribution reporting for advertisers, we need to focus on providing more actionable insights. This involves enhancing the existing features to offer deeper, more granular data that can directly inform advertising strategies across multiple devices. I'll approach this by examining user segments, analyzing pain points, generating solutions, and proposing metrics for measurement.

Step 1

Clarifying Questions

• Looking at the cross-device attribution context, I'm thinking about the current state of Simpli.fi's reporting capabilities. Could you tell me what key metrics and data points are currently included in the cross-device attribution reports?

Why it matters: Determines the baseline for improvement and identifies gaps in reporting. Expected answer: Basic conversion tracking across devices, but limited user journey insights. Impact on approach: Would focus on enhancing granularity and adding new data dimensions.

• Considering the evolving digital landscape, I'm curious about the types of devices Simpli.fi currently tracks. Does the platform cover emerging technologies like smart TVs or voice assistants, or is it primarily focused on traditional devices like smartphones, tablets, and desktops?

Why it matters: Influences the scope of improvements and future-proofing of the solution. Expected answer: Primarily focused on traditional devices with plans to expand. Impact on approach: Would prioritize expanding device coverage and creating a flexible attribution model.

• Thinking about advertiser needs, I'm wondering about the level of real-time reporting currently available. How frequently is the cross-device attribution data updated, and what's the latency between user actions and data availability in reports?

Why it matters: Determines the potential for real-time optimization and the value of immediate insights. Expected answer: Daily updates with 24-hour latency. Impact on approach: Would focus on reducing latency and increasing update frequency for more timely insights.

• Considering the competitive landscape, I'm interested in understanding Simpli.fi's current market position. How does our cross-device attribution reporting compare to key competitors in terms of features and accuracy?

Why it matters: Helps identify unique selling points and areas for differentiation. Expected answer: Competitive in basic features but lacking in advanced analytics and visualization. Impact on approach: Would prioritize innovative features and improved data visualization to stand out in the market.