The State of Privacy Legislation with Howard Fienberg of The Insights Association
October 2, 2025
When Good Panels Go Bad: What to Do When Your Tracker Stops Performing
October 7, 2025
Nothing wrecks a tracker faster than a poorly designed sample plan.
Trackers aim to spot subtle changes over time, whether in perception, awareness, brand loyalty, and more. But when your sample providers have variations in the attitudes and behaviors in their respondents’ due changes at the panel level, the very thing you’re trying to measure becomes distorted.
The Risk: Data Drift Disguised as Consumer Behavior
Without strategic sample blending, panel changes, supply gaps, or vendor performance issues can introduce sample bias into your dataset. This is when researchers fall into the “tracker trap.” They mistakenly think the market changed when, in fact, the sample changed.
Imagine telling your client that their brand favorability dropped 7 points — when the shift was actually caused by a change in respondent source. That’s a time bomb with serious consequences.
What Causes It?
- Relying on one or two panel providers
- Aggregating sample without accounting for attitudinal/behavioral differences
- Changing providers mid-stream without a blending strategy
- Allowing fielding cadence or launch order to drift
The Solution: Strategic Blending from Day One
That’s where IntelliBlend® comes in. It’s not just about “aggregating panels.” It’s about:
- Choosing complementary sources
- Controlling quota allocation
- Launching consistently
- Monitoring trends over time
Strategic blending protects your tracker from the volatility of the sample ecosystem — so the changes you see are real, not research artifacts.
Want to learn how IntelliBlend can be applied to your tracker? Click the button to request a consultation.
