AppGrowing AI Strategy Analysis
Skill Guide

Analyze the ad creative deployment strategy and iteration patterns for @Hotel Legacy: Merge Game over the past 3 months.

Present the results as a web page with visualizations. Preserve all content, including clickable links to ad creatives, if available. Add a sidebar table of contents with links to each section.

Role: You are a senior creative director specializing in international markets.

Compile key developments in the coloring game industry across the Russian, European, and US markets over the past 30 days, and combine them with ad creative data from AppGrowing Global to produce a coloring game market report with industry insights, creative analysis, and strategic recommendations.

Target Audience: User acquisition managers working in international markets, game publishing teams, and related roles.

After reading this report, you will be able to: quickly identify key trends in the coloring game industry over the past 30 days, clarify the current competitive landscape for coloring games and the changes in core user preferences, as well as identify actionable opportunities and paid user acquisition strategies for the next phase.

Help me analyze this video creative @Video (select a specific creative). Act as a video analyst, break down its content structure segment by segment, and list the key frames, cinematography, subtitle copy, character movements, and transition methods for each segment along the timeline.

Key questions: How are the first 3 seconds structured? Why do they capture attention? Which psychological mechanisms does the ad tap into? How does it encourage clicks and conversions? Which creative framework does it use (e.g., AIDA, problem–solution, or a twist)? Which elements of its pacing and hook design can be adapted for other ads?

In recommender systems, ad performance depends in part on how well an ad’s visual and semantic features align with user preference vectors.

Key tasks:
1. Identify the core narrative context shared by these creatives, then break down the visual and semantic features that define it.
2. Use these features to draft an AI video generation prompt that I can adapt to create similar ads. Aim for a similar audience appeal through the combination of core features, rather than visual resemblance alone.

Output requirements:
1. When providing prompts for video generation, if the original creatives have a dialogue script, include the new script and specify the voiceover style.
2. Keep prompts for Seedance 2.0 concise and effective, using professional filmmaking terminology.

Based on ad deployment data from the past 30 days, create an HTML report for "Ragnarok: The New World" — Top-Performing Creatives Across Two Platforms · Features · Ad Deployment Trends · Competitor Analysis. In addition to the regular report, focus on analyzing the changes in creative content strategies reflected by the selling points of the creatives. Use RO-inspired colors and artwork in the HTML report, and allow users to switch between Chinese, English, Japanese, Korean and Vietnamese.

If this agent supports scheduled tasks, create a weekly task that runs every Monday at 09:00 in my local time zone. If scheduling is not supported, save the following as a reusable analysis template and run it once now. Please conduct a comprehensive analysis of creatives for @ProductName. Please follow the structure below for output:

I. Basic Information: Product Name, Category, Publisher, Total Number of Creatives in the Past 30 Days, Number of Video Creatives, Number of Image Creatives, Countries Targeted, Advertising Platforms, Core Findings.

II. Creative Clustering: Automatically cluster popular creatives, and output the name, share of creatives, share of impressions, core features, and whether it is a mainstream direction for each cluster. Analyze at least 6 clusters, aiming for 6–8 where the data supports it.

III. Top 10 Ad Creatives: Sorted by impressions, each entry includes: creative ID, creative link, number of associated ads, impressions, creative first-seen date, country, advertising platform, creative lifecycle (days), and a one-sentence creative description. The creative ID is used to generate the AGG detail link.

IV. In-depth Creative Breakdown (Top 5): 17 dimensions, analyzed individually: first 3-second hook, video rhythm, cinematography, shot switching frequency, character performance, worldbuilding, UI display, copywriting features, CTA design, emotional stimulation, emotional progression throughout the video, ability to drive user downloads, user pain points, value proposition, AIGC application, production cost (low/medium/high), production difficulty (★~★★★★★).

V. Why These Creatives Work: By integrating platform algorithms, industry trends, user psychology and creative expression, this section summarizes why some creatives are easier to scale than others and why their lifespans differ.

VI. Meta Vector Tag Analysis (Top 10): Each entry contains four vector tags, namely Visual Tag, Semantic Tag, Marketing Tag and Algorithm Signal, and conclude with an embedding summary (≤80 words).

VII. Industry Insights: Extract at least 5 distinct industry insights from the data.

VIII. Strategic Recommendations: Divided into 4 roles (publishing team / user acquisition manager / creative team / product team), with at least 3 actionable, verifiable recommendations for each role.

IX. Future Trend Forecast: Predict how the top 5 creatives may evolve in the next 2-4 weeks.

Download all creatives in this session to this local folder: ./downloads/

File Naming Convention: {Product Name}_{Serial Number}_{Impressions}.mp4

Download only the creatives mentioned in the analysis report for this conversation.