Do you have a way to assess creative fatigue/wearout? If so, how are you identifying it and what tools (if any) are you using?  If you don't measure, how often are you refreshing assets for both linear and digital media?

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Principal Consultant2 days ago

Great question, and it's one of the most critical factors in managing media efficiency. Yes, we have a rigorous, systematic methodology to assess creative fatigue, which can be formalized through a Creative Efficacy Measurement (CEM) Framework.

We treat fatigue not as a guess, but as a measurable financial drag that requires a 2-pronged approach based on the media channel's velocity (a key point).

1. Identifying fatigue and tools used
We do this by monitoring two distinct signal groups for intervention:
A) Performance signals | Focus: digital / lower funnel
Key indicators: a decline in CTR (~20% is typical) and a correlated rise in CPC. Use platform analytics and Dynamic Creative Optimization (DCO) with frequency scores +6 exposures or more.
B) Perception signals | Focus: linear media / upper funnel
Key indicators: falling brand KPIs such as awareness, favorability and message clarity. Measuring these typically require 3rd party tools from Neilsen or Kantar LINK AI. These are usually beyond smaller advertisers.

2. Refreshing frequency of creative by channel
Creative fatigue rates vary by channel so a equally weighted rotation approach isn't usually adequate. What you can do is:
A) Digital / social media | Fatigue velocity = high
Refresh approach is to maintain a consistent testing loop with refreshed creative or modifications introduced weekly to get a 95% confidence (days if high volume, months if lower). Rotation is ideally automated and triggered by performance thresholds.
B) Linear media / tv, radio, etc. | Fatigue velocity = low
The approach here is to maximize the life of high quality assets since there's a greater upfront investment in their creation. Their rotation isn't by the calendar. You'll need to get upper funnel measurement by perception signals to confirm a statistically significant decline.

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