The Metrics That Matter

By: Scott Stein, SVP, Client Development

There’s a quiet but telling divide that runs through the online sample marketplace. It lives in the metrics companies choose to measure for their business.

On one side: EPC (Earnings Per Click). On the other: DAR (Data Acceptance Rate) and DIFOT (Done In Full, On Time).

At first glance, they all measure performance. But what they’re actually measuring tells you everything about a company’s focus.

EPC is a profit metric often used by programmatic sample companies. It measures how efficiently a system converts traffic into revenue. When EPC is the primary signal driving decisions, the technology is built to match. Higher-paying clients get prioritized traffic flow. Lower-tier projects get what’s left. The routing engine isn’t really asking “who is the best respondent for this study?” It’s asking “which click earns the most right now?” The technology is pointed at the bottom line.

DAR and DIFOT measure something entirely different, and at OpinionRoute, they’re what we build around.

DAR tells you how much of the data collected actually got accepted by the client. DIFOT asks whether the project was delivered completely and on time. These aren’t just operational metrics. They’re a signal of how a company defines success. Not “did we generate revenue from that click?” but “did the researcher get what they needed?”

“Show me the incentives, and I’ll show you the outcome”. When a sample ecosystem runs on EPC logic, the incentives reward maximizing profits, not filtering fraud or filling quotas. When DAR and DIFOT drive the operation, quality outcomes drive the process.

So how does OpinionRoute approach it?

We built Navigator and the holistic Data Quality system around DAR and DIFOT principles from the ground up. The Navigator ties it all together with vendor-level views and benchmarking, so nothing hides behind an aggregate number. Here’s how the pieces underneath it play out in practice.

• CleanID – Filters fraud before respondents enter a survey.
• ResponseID – Catches behavioral manipulation in real time.
• QC Flow – Helps researchers make faster, smarter quality decisions post-field.
• Survey Programming – Builds and hosts the survey itself, so quality starts before a single response comes in.

The difference isn’t technology. It’s the values that show up in every decision that follows: how surveys are set up, how respondents are treated, how vendors are selected, and how quality is defined. And for researchers who stake their reputation on reliable insights, that difference is not a small one.

Ready to measure what matters? Let’s talk.