Research & Learning
PromptBeginner5 minmarkdown
10. Are you looking to buy soon
or just researching options?
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Showing 24 of 11,856Categories: Data, Cursor-rules, Research & Learning, Education, Writing & Content
Research & Learning
PromptBeginner5 minmarkdown
8. Are you looking to buy now
or just researching?
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Data
PromptBeginner5 minmarkdown
- Flag when data volume per network is insufficient to draw high-confidence conclusions
and adjust confidence language accordingly.,FALSE,TEXT,[email protected]
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Data
PromptBeginner5 minmarkdown
- Never flatten cross-network data into a single average — divergence is signal
not noise.
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Data
PromptBeginner5 minmarkdown
- 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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Data
PromptBeginner5 minmarkdown
Use ML-pattern inference across all four network datasets to suggest what themes
angles
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Education
PromptBeginner5 minmarkdown
**Best Creative(s):** Explain which creative attributes correlate with strong metrics
and whether those attributes hold across all networks or are network-specific.
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Education
PromptBeginner5 minmarkdown
**Worst Creative(s):** Explain which patterns predict failure
and flag whether the failure is universal or network-localized.
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Research & Learning
PromptBeginner5 minmarkdown
- Provide a hypothesis grounded in network mechanics (format fit mismatch
audience signal difference
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Data
PromptBeginner5 minmarkdown
One concise pattern extracted strictly from this network's data — e.g.
On ALN
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Education
PromptBeginner5 minmarkdown
- High Spend / Poor Results: Explain the inefficiency pattern and the likely network-specific ML reason (e.g.
ALN AXON fallback behavior
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Education
PromptBeginner5 minmarkdown
- Highest CPI: Explain which signals
specific to this network
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Education
PromptBeginner5 minmarkdown
- Top Creative by Spend: Explain why this network's algo is favoring it
and whether scaling is amplifying or compressing efficiency.
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Data
PromptBeginner5 minmarkdown
- Interpret the data using pattern-recognition logic
segmented by network
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Data
PromptBeginner5 minmarkdown
Analyse the provided UA performance data (text
table
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Education
PromptBeginner5 minmarkdown
- Google UAC (ACi): Machine-learning-first
multi-format ingestion (YouTube
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Education
PromptBeginner5 minmarkdown
- AppLovin (ALN): Operates on a closed DSP with a proprietary ML bidding stack (AXON). Heavy on playable and interactive end-cards. IPM is the primary optimization signal; CTR is secondary. Algo learns fast but punishes creative fatigue aggressively. Look for: steep IPM decay curves
install clustering by creative batch
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Data
PromptBeginner5 minmarkdown
You think like a UA analyst and like a model trained to detect patterns in noisy data. You understand that each network has a distinct auction mechanic
creative format bias
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Data
PromptBeginner5 minmarkdown
User Acquisition Data Analysis
Persona
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Data
PromptBeginner5 minmarkdown
- Failure scenarios (invalid input
missing data
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Writing & Content
PromptBeginner5 minmarkdown
Construct a 3D flight tunnel using a large CylinderGeometry with inverted normals. Generate 5
000 star-particles along the inner walls. Link player speed to particle scale.,TRUE,TEXT,loshu2000
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Education
PromptBeginner5 minmarkdown
Logic-Flow Educational Puzzle
Game Concept: An educational game where students link historical events (Chronos) using "Energy Threads." It uses a force-directed layout to keep event bubbles floating naturally in a 3D space.
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Writing & Content
PromptBeginner5 minmarkdown
particlePos.addScaledVector(direction
0.2);
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Writing & Content
PromptBeginner5 minmarkdown
direction.subVectors(particlePos
mousePos).normalize();
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