Receipts는 iMessage 기록을 분석하여 통계적 인사이트, 관계 세부 정보 및 AI 기반 대화 분석을 제공하는 MacOS 애플리케이션입니다. 텍스트를 통해 자신의 커뮤니케이션 패턴과 개인적인 이야기를 이해하도록 돕습니다.
Tableau는 사람들이 데이터를 보고 이해할 수 있도록 돕는 선도적인 AI 기반 비즈니스 인텔리전스 및 분석 플랫폼입니다. 사용자는 대화형 대시보드를 만들고, 복잡한 데이터 분석을 수행하며, 조직 전체에 통찰력을 공유할 수 있으며, Tableau Agent와 같은 AI 기능으로 의사 결정을 가속화할 수 있습니다.
제품 개요
Receipts 제품 개요
Receipts는 iMessage 기록을 분석하여 통계적 인사이트, 관계 세부 정보 및 AI 기반 대화 분석을 제공하는 MacOS 애플리케이션입니다. 텍스트를 통해 자신의 커뮤니케이션 패턴과 개인적인 이야기를 이해하도록 돕습니다.
Tableau 제품 개요
Tableau는 사람들이 데이터를 보고 이해할 수 있도록 돕는 선도적인 AI 기반 비즈니스 인텔리전스 및 분석 플랫폼입니다. 사용자는 대화형 대시보드를 만들고, 복잡한 데이터 분석을 수행하며, 조직 전체에 통찰력을 공유할 수 있으며, Tableau Agent와 같은 AI 기능으로 의사 결정을 가속화할 수 있습니다.
Detailed feature comparison
| Feature | Receipts | Tableau |
|---|---|---|
| 주요 카테고리 | 맞춤형 | 비즈니스 인텔리전스 |
| 등록일 | 2025-08-02 | 2025-08-09 |
| 가격 | 프리미엄 | 프리미엄 |
| 공식 사이트 | www.getreceipts.app | www.tableau.com |
| 제품 유형 | 앱 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 3.4K | 6.7M |
| 월 성장률 | 확인되지 않음 | -11.7% |
| 즐겨찾기 | 100 | 103 |
| Details | 상세 보기 | 상세 보기 |
Receipts vs Tableau monthly traffic
Compare Receipts and Tableau by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Receipts vs Tableau monthly traffic comparison, Receipts currently shows 3.4K visits and Tableau shows 6.7M; Tableau has about 1,977.1 times the visible traffic of Receipts, an absolute difference of about 6.7M visits. This reflects visible reach, not feature quality or paid users.
Only Tableau has complete third-party traffic details; Receipts uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
Receipts monthly traffic:
Latest traffic
Tableau monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 8M 월 방문
- 2026/1: 7.5M 월 방문
- 2026/2: 6.8M 월 방문
- 2026/3: 7.6M 월 방문
- 2026/4: 7.6M 월 방문
- 2026/5: 6.7M 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 55.3% | 3.7M |
| 🇯🇵Japan | 22.08% | 1.5M |
| 🇮🇳India | 10.13% | 679.4K |
| 🇬🇧United Kingdom | 8.15% | 546.6K |
| 🇧🇷Brazil | 4.34% | 291.1K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 81.7% | 5.5M |
| 리퍼럴 | 14.8% | 992.5K |
| 이메일 | 3.5% | 234.7K |
검색 키워드
Usage comparison
Compare the core capabilities of Receipts and Tableau
Receipts Core features
Tableau Core features
Use cases
Receipts Use cases
Tableau Use cases
Receipts vs Tableau:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Receipts vs Tableau comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Receipts is primarily listed under “맞춤형”, while Tableau is primarily listed under “비즈니스 인텔리전스”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Receipts: 맞춤형; Tableau: 비즈니스 인텔리전스); Product type (Receipts: App; Tableau: Website); Monthly visits (Receipts: 3.4K; Tableau: 6.7M); Favorites (Receipts: 100; Tableau: 103); Website (Receipts: www.getreceipts.app; Tableau: www.tableau.com). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Receipts vs Tableau monthly traffic comparison, Receipts currently shows 3.4K visits and Tableau shows 6.7M; Tableau has about 1,977.1 times the visible traffic of Receipts, an absolute difference of about 6.7M visits. This reflects visible reach, not feature quality or paid users.
Only Tableau has complete third-party traffic details; Receipts uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
Receipts and Tableau currently overlap in shared categories: 데이터 분석; shared tags: 데이터 시각화. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Receipts's unique categories/tags are 맞춤형, 관계, 채팅 분석, AI 대화 분석, 채팅 통계, 의사소통 패턴, iMessage 분석기 및 macOS 앱; Tableau's are 비즈니스 인텔리전스, 시각화, AI 분석, 빅데이터, 대시보드, 데이터 분석, 데이터 스토리텔링 및 보고서. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Receipts has no verified rating, 0 comments, 100 favorites, and 101 likes;Tableau has no verified rating, 0 comments, 103 favorites, and 120 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Receipts first
Put Receipts on the priority trial list when the task aligns with “맞춤형” and especially 맞춤형, 관계, 채팅 분석, AI 대화 분석, 채팅 통계 및 의사소통 패턴. This follows recorded positioning and does not imply unlisted capabilities are absent.
Receipts also currently records: pricing is freemium, product type is app, 3.4K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Tableau first
Put Tableau on the priority trial list when the task aligns with “비즈니스 인텔리전스” and especially 비즈니스 인텔리전스, 시각화, AI 분석, 빅데이터, 대시보드 및 데이터 분석. This follows recorded positioning and does not imply unlisted capabilities are absent.
Tableau also currently records: pricing is freemium, product type is website, 6.7M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Receipts and Tableau, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




