Receiptsは、iMessageの履歴を分析し、統計的なインサイト、人間関係の詳細、AIによる会話分析を提供するMacOSアプリケーションです。テキストメッセージを通じて、あなたのコミュニケーションパターンや個人的な物語を理解するのに役立ちます。
Tableauは、人々がデータを視覚化し理解するのを助ける、AIを搭載した主要なビジネスインテリジェンスおよび分析プラットフォームです。ユーザーはインタラクティブなダッシュボードを作成し、複雑なデータ分析を実行し、組織全体でインサイトを共有でき、Tableau AgentのようなAI機能によって意思決定を加速します。
製品概要
Receipts 製品概要
Receiptsは、iMessageの履歴を分析し、統計的なインサイト、人間関係の詳細、AIによる会話分析を提供するMacOSアプリケーションです。テキストメッセージを通じて、あなたのコミュニケーションパターンや個人的な物語を理解するのに役立ちます。
Tableau 製品概要
Tableauは、人々がデータを視覚化し理解するのを助ける、AIを搭載した主要なビジネスインテリジェンスおよび分析プラットフォームです。ユーザーはインタラクティブなダッシュボードを作成し、複雑なデータ分析を実行し、組織全体でインサイトを共有でき、Tableau AgentのようなAI機能によって意思決定を加速します。
Detailed feature comparison
| Feature | Receipts | Tableau |
|---|---|---|
| 主要カテゴリー | パーソナライズ | ビジネスインテリジェンス |
| 追加日 | 2025-08-02 | 2025-08-09 |
| 価格 | フリーミアム | フリーミアム |
| 公式サイト | www.getreceipts.app | www.tableau.com |
| 製品タイプ | アプリ | ウェブサイト |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 3.4K | 6.7M |
| 月間成長率 | 未確認 | -11.7% |
| お気に入り | 100 | 103 |
| Details | 詳細を見る | 詳細を見る |
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 月間訪問数
- 2026/1: 7.5M 月間訪問数
- 2026/2: 6.8M 月間訪問数
- 2026/3: 7.6M 月間訪問数
- 2026/4: 7.6M 月間訪問数
- 2026/5: 6.7M 月間訪問数
主要地域
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 |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 81.7% | 5.5M |
| 参照元 | 14.8% | 992.5K |
| Eメール | 3.5% | 234.7K |
検索キーワード
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 “パーソナライズ”, while Tableau is primarily listed under “ビジネスインテリジェンス”, 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: パーソナライズ; Tableau: ビジネスインテリジェンス); 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: データ分析; shared tags: データ視覚化. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Receipts's unique categories/tags are パーソナライズ、関係、チャット分析、AI会話分析、チャット統計、コミュニケーションパターン、iMessage アナライザー、macOSアプリ; Tableau's are ビジネスインテリジェンス、視覚化、AI分析、ビッグデータ、ダッシュボード、データ分析、データストーリーテリング、レポート. 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 “パーソナライズ” and especially パーソナライズ、関係、チャット分析、AI会話分析、チャット統計、コミュニケーションパターン. 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 “ビジネスインテリジェンス” and especially ビジネスインテリジェンス、視覚化、AI分析、ビッグデータ、ダッシュボード、データ分析. 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.




