Next Jump

Shopping is the main category at about 33.3% of apps, while the portfolio spans 4 categories. This is a relatively diversified portfolio strategy.

Shopping

2 apps · 33.3%

Business

2 apps · 33.3%

Lifestyle

1 apps · 16.7%

Productivity

1 apps · 16.7%

• The primary category Shopping accounts for 33.3%. Long-tail categories can reduce single-category risk.
• The diversification score is about 0.72 (0=highly concentrated, 1=highly diversified), useful for comparing developers.

The full portfolio has about 5.3K public ratings, a small public review base. It includes 6 free apps and 0 paid apps.

Apps

6

Total ratings

5.3K

Free / paid

6 / 0

• By review volume, the leading apps include: "Perks at Work", "COA - Community Online Academy", "Feedback - Next Jump".
• The visible list is free or priced at 0. Monetization may rely on subscriptions, ads, or in-app purchases; verify on the store page.

Weighted by rating volume, the portfolio averages about 4.90 stars; the simple average is 4.51 stars. The gap shows whether high-volume apps lift or drag the overall reputation.

Weighted avg

4.90 ★

Simple avg

4.51 ★

• The weighted and simple averages differ meaningfully, indicating that high-review apps strongly shape perception.
• 0 apps have no public rating data, so long-tail performance is underrepresented.

The iTunes Search API does not provide review text. This card uses low star ratings with enough review volume as a proxy, and separately highlights apps with thin samples.

• No app triggered the low-rating plus sufficient-sample threshold.
• Thin rating samples (under 50 ratings): "Cinema - Perks at Work", "AiCoach - Next Jump", "On My Mind - Next Jump". Star ratings can swing heavily until more feedback arrives.

The earliest listed app is "Feedback - Next Jump", while the newest or most recent listing signal is "AiCoach - Next Jump". The span is a proxy for long-term iteration capacity.

Span

8 years+

• Earliest record in this dataset: 2018 (Feedback - Next Jump).
• Newer app signal: 2026 (AiCoach - Next Jump).

These takeaways are based on public metadata and are useful for competitor research or portfolio planning. Deeper conclusions require downloads, revenue, and review text.

• Study the category mix: 4 categories show whether a main-category plus extension structure matches your resources.
• Compare reputation structure: weighted 4.90 stars vs. the leading app "Perks at Work" and its review volume.
• For similar tools, prioritize review mining on lower-rated apps to find functional gaps; this requires store reviews or third-party data.