Draft a Brand Perception Survey fatigue-analysis addendum measuring respondent drop-off rates after AI-driven personalized ad retargeting at scale

Generate draft a brand perception survey fatigue-analysis addendum measuring respondent drop-off rates after ai-driven personalized ad retargeting at scale for Advertising, Public Relations, and Related Services industry

Advertising, Public Relations, and Related Services

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Allowed: CSV, JSONL, TSV

Max size: 100MB

Upload the original brand-perception survey response CSV, JSONL, or SAR file containing user-level drop-off timestamps and AI-retargeting exposure events
Indicate the scale and type of AI-driven retargeting deployment
Define the exposure count boundary that qualifies a respondent as "highly exposed" for fatigue-analysis purposes
Specify the internal or external audience for whom the addendum is being drafted
Identify the compliance or brand-safety layer that influenced survey exposure filters
Decide the level of statistical rigor and diagnostics presented in the addendum
Provide industry or historical survey-completion benchmark to contextualize drop-off rates
List explicit hypotheses the addendum should test (e.g., creative wear-out, frequency saturation, device fatigue, demographic sensitivity). Max 400 characters each.
Rate the intrusiveness or complexity of the survey instrument on a 1–10 scale (1=very simple, 10=zero-party data heavy) to control for questionnaire-driven fatigue
Choose the delivery format appropriate for the designated stakeholder