##### Scenario A company sells a product through three channels – online, phone and email – and supplies click-through and conversion rates for each. ##### Question Given impressions, click-through rate and conversion rate for each channel, compute the expected number of purchases per channel. Rank channels by conversion efficiency and overall expected revenue if an average order value is supplied. Which additional metric(s) would you request to judge channel performance more holistically? ##### Hints Conversions = impressions × click rate × conversion rate; compare per-impression or per-click ROI.

This question evaluates proficiency in marketing-funnel analytics, quantitative channel performance calculation, and revenue estimation, testing skills relevant to a Data Scientist role in the analytics and experimentation domain.

How do I approach Analytics & Experimentation interview questions?

Analytics & Experimentation questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master analytics & experimentation interviews.

What difficulty level is this interview question?

This is a medium difficulty Analytics & Experimentation question, commonly asked during Technical Screen rounds at OneMain Financial.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at OneMain Financial during technical interviews.

Determine Channel Performance with Additional Metrics Needed

Compute Expected Purchases and Revenue by Channel

Context

A company sells a product through three channels: online, phone, and email. For each channel, you are given:

Impressions (I)
Click-through rate (CTR)
Conversion rate (CVR)
An average order value (AOV) may be supplied

Assume CTR and CVR are provided as percentages and represent:

CTR: probability of a click given an impression
CVR: probability of a purchase given a click (post-click conversion)

Task

Compute the expected number of purchases for each channel.
Rank channels by conversion efficiency.
Compute and rank overall expected revenue given AOV.
List additional metrics you would request to judge channel performance more holistically.

Formulas

Expected purchases per channel: Purchases = Impressions × CTR × CVR
Conversion efficiency (two useful views):
- Post-click efficiency: CVR
- End-to-end efficiency per impression: CTR × CVR
Expected revenue: Revenue = Purchases × AOV

Hint: Compare per-impression or per-click ROI when cost data are available.

Compute Expected Purchases and Revenue by Channel

Context

A company sells a product through three channels: online, phone, and email. For each channel, you are given:

Impressions (I)
Click-through rate (CTR)
Conversion rate (CVR)
An average order value (AOV) may be supplied

Assume CTR and CVR are provided as percentages and represent:

CTR: probability of a click given an impression
CVR: probability of a purchase given a click (post-click conversion)

Task

Compute the expected number of purchases for each channel.
Rank channels by conversion efficiency.
Compute and rank overall expected revenue given AOV.
List additional metrics you would request to judge channel performance more holistically.

Formulas

Expected purchases per channel: Purchases = Impressions × CTR × CVR
Conversion efficiency (two useful views):
- Post-click efficiency: CVR
- End-to-end efficiency per impression: CTR × CVR
Expected revenue: Revenue = Purchases × AOV

Hint: Compare per-impression or per-click ROI when cost data are available.

Determine Channel Performance with Additional Metrics Needed

Quick Overview

Compute Expected Purchases and Revenue by Channel

Context

Task

Formulas

Solution

Comments (0)

Determine Channel Performance with Additional Metrics Needed

Quick Overview

Compute Expected Purchases and Revenue by Channel

Context

Task

Formulas

Solution

Comments (0)