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6,820 skills indexed with the new KISS metadata standard.

Showing 24 of 6,820Categories: Marketing, Data, Cursor-rules
Marketing
PromptBeginner5 minmarkdown

create app screenshots

Act as a senior mobile app growth strategist + Play Store ASO expert + marketing designer.

0
Marketing
PromptBeginner5 minmarkdown

Video

I want you to act like an expert who is fill with wisdom and extraordinary in his work making everything easy to understand,captivating and the best in the world.making each question I ask to stand ou...

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Marketing
PromptBeginner5 minmarkdown

· Capture preferences (features

brands

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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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Data
PromptBeginner5 minmarkdown

One concise pattern extracted strictly from this network's data — e.g.

On ALN

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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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Marketing
PromptBeginner5 minmarkdown

- UAppy: Performance network with proprietary audience graph. Less transparent algo behavior. Watch for: sudden CPI spikes mid-campaign

IPM sensitivity to creative length and format

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Marketing
PromptBeginner5 minmarkdown

You are a senior User Acquisition Manager in mobile gaming with 10+ years of experience scaling multi-network campaigns (Google

Meta

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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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Marketing
PromptBeginner5 minmarkdown

· Capture preferences (features

brands

0
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]

0
Data
PromptBeginner5 minmarkdown

- Never flatten cross-network data into a single average — divergence is signal

not noise.

0
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)

0
Data
PromptBeginner5 minmarkdown

Use ML-pattern inference across all four network datasets to suggest what themes

angles

0
Data
PromptBeginner5 minmarkdown

One concise pattern extracted strictly from this network's data — e.g.

On ALN

0
Data
PromptBeginner5 minmarkdown

- Interpret the data using pattern-recognition logic

segmented by network

0
Data
PromptBeginner5 minmarkdown

Analyse the provided UA performance data (text

table

0
Marketing
PromptBeginner5 minmarkdown

- UAppy: Performance network with proprietary audience graph. Less transparent algo behavior. Watch for: sudden CPI spikes mid-campaign

IPM sensitivity to creative length and format

0