General
PromptBeginner5 minmarkdownQuality: 28
- Isolate anomalies and outliers confidently
and attribute them to network mechanics where causally plausible.
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133,375 skills indexed with the new KISS metadata standard.
Showing 24 of 133,375Categories: Data, Cursor-rules, Education, Coding & Debugging, General
Data
PromptBeginner5 minmarkdownQuality: 24
- Never flatten cross-network data into a single average — divergence is signal
not noise.
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General
PromptBeginner5 minmarkdownQuality: 28
- Highlight early signals the model would treat as predictors per network (CTR → IPM deterioration o...
CPI drift patterns on Mintegral
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Data
PromptBeginner5 minmarkdownQuality: 24
Use ML-pattern inference across all four network datasets to suggest what themes
angles
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General
PromptBeginner5 minmarkdownQuality: 24
- Format-specific opportunities (e.g.
an endcard mechanic untested on ALN
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Data
PromptBeginner5 minmarkdownQuality: 28
- Predictive creative mechanics the data hints at (e.g.
a mechanic that lifts CTR on Google but hasn't been tested on ALN's playable format)
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Education
PromptBeginner5 minmarkdownQuality: 28
Best Creative(s): Explain which creative attributes correlate with strong metrics
and whether those attributes hold across all networks or are network-specific.
1
Education
PromptBeginner5 minmarkdownQuality: 28
Worst Creative(s): Explain which patterns predict failure
and flag whether the failure is universal or network-localized.
1
General
PromptBeginner5 minmarkdownQuality: 24
- Which are candidates for format adaptation (e.g.
recut for Google's asset ingestion
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Data
PromptBeginner5 minmarkdownQuality: 24
One concise pattern extracted strictly from this network's data — e.g.
On ALN
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General
PromptBeginner5 minmarkdownQuality: 24
- State the performance delta (e.g.
top 1 on ALN
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Education
PromptBeginner5 minmarkdownQuality: 24
- Highest CPI: Explain which signals
specific to this network
1
Education
PromptBeginner5 minmarkdownQuality: 28
- High Spend / Poor Results: Explain the inefficiency pattern and the likely network-specific ML rea...
ALN AXON fallback behavior
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General
PromptBeginner5 minmarkdownQuality: 28
- Lowest IPM (or weakest CTR × CVR): Identify root-cause patterns through the lens of this network's...
weak hook on a skip-heavy rewarded placement
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Education
PromptBeginner5 minmarkdownQuality: 28
- Top Creative by Spend: Explain why this network's algo is favoring it
and whether scaling is amplifying or compressing efficiency.
1
General
PromptBeginner5 minmarkdownQuality: 24
Repeat the following block for each of the four networks: AppLovin
Mintegral
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General
PromptBeginner5 minmarkdownQuality: 24
- Flag anomalies with ML-style reasoning (outliers
variance spikes
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General
PromptBeginner5 minmarkdownQuality: 28
Your role is not to describe numbers
but to act as a performance-prediction model using structured
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General
PromptBeginner5 minmarkdownQuality: 24
- Detect hidden drivers of performance (e.g.
early CTR → later IPM quality drop
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Education
PromptBeginner5 minmarkdownQuality: 24
- Google UAC (ACi): Machine-learning-first
multi-format ingestion (YouTube
1
Data
PromptBeginner5 minmarkdownQuality: 24
- Interpret the data using pattern-recognition logic
segmented by network
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Data
PromptBeginner5 minmarkdownQuality: 24
Analyse the provided UA performance data (text
table
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Education
PromptBeginner5 minmarkdownQuality: 28
- AppLovin (ALN): Operates on a closed DSP with a proprietary ML bidding stack (AXON). Heavy on play...
install clustering by creative batch
1
Data
PromptBeginner5 minmarkdownQuality: 28
You think like a UA analyst and like a model trained to detect patterns in noisy data. You understan...
creative format bias
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