Rowsは、使い慣れたインターフェースに強力なAI機能とシームレスなデータ統合を組み合わせた次世代のスプレッドシートです。Googleアナリティクス、ソーシャルメディア、データベースなど50以上のソースに接続し、データ分析を自動化し、ライブダッシュボードを作成し、AIアナリストコパイロットでインサイトを生成します。
Uiniは、ユーザーリサーチとフィードバック分析を自動化するAI搭載プラットフォームです。軽量なウィジェットをウェブサイトに埋め込むことで、Uiniは洞察に満ちた質問を生成し、インテリジェントなフォローアップを行い、実用的な要約を提供します。これにより、プロダクトチーム、マーケター、UXリサーチャーはユーザーのニーズを容易に理解し、アイデアを検証し、データに基づいた意思決定を行うことができ、生のフィードバックを価値ある洞察の継続的な流れに変えることができます。
製品概要
Rows 製品概要
Rowsは、使い慣れたインターフェースに強力なAI機能とシームレスなデータ統合を組み合わせた次世代のスプレッドシートです。Googleアナリティクス、ソーシャルメディア、データベースなど50以上のソースに接続し、データ分析を自動化し、ライブダッシュボードを作成し、AIアナリストコパイロットでインサイトを生成します。
Uini 製品概要
Uiniは、ユーザーリサーチとフィードバック分析を自動化するAI搭載プラットフォームです。軽量なウィジェットをウェブサイトに埋め込むことで、Uiniは洞察に満ちた質問を生成し、インテリジェントなフォローアップを行い、実用的な要約を提供します。これにより、プロダクトチーム、マーケター、UXリサーチャーはユーザーのニーズを容易に理解し、アイデアを検証し、データに基づいた意思決定を行うことができ、生のフィードバックを価値ある洞察の継続的な流れに変えることができます。
Detailed feature comparison
Rows vs Uini monthly traffic
Compare Rows and Uini by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Rows vs Uini monthly traffic comparison, Rows currently shows 340.9K visits and Uini shows 3.4K; Rows has about 99.5 times the visible traffic of Uini, an absolute difference of about 337.5K visits. This reflects visible reach, not feature quality or paid users.
Only Rows has complete third-party traffic details; Uini 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.
Rows is registered at the rows.com/try-rows subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
Rows monthly traffic:
Latest traffic
Monthly traffic trend
- 2026/1: 486.6K 月間訪問数
- 2026/2: 393K 月間訪問数
- 2026/3: 412.6K 月間訪問数
- 2026/4: 373.4K 月間訪問数
- 2026/5: 340.9K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 32.66% | 111.3K |
| 🇮🇩Indonesia | 20.65% | 70.4K |
| 🇸🇬Singapore | 17.73% | 60.4K |
| 🇮🇳India | 15.02% | 51.2K |
| 🇲🇾Malaysia | 13.94% | 47.5K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 90.48% | 308.5K |
| 参照元 | 8.13% | 27.7K |
| Eメール | 1.39% | 4.7K |
検索キーワード
Uini monthly traffic:
Latest traffic
Usage comparison
Compare the core capabilities of Rows and Uini
Rows Core features
Uini Core features
Use cases
Rows Use cases
Uini Use cases
Rows vs Uini:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Rows vs Uini comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Rows is primarily listed under “レポート”, while Uini is primarily listed under “フィードバック管理”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Rows: レポート; Uini: フィードバック管理); Monthly visits (Rows: 340.9K; Uini: 3.4K); Favorites (Rows: 120; Uini: 103); Website (Rows: rows.com; Uini: uini.io); Added (Rows: 2025-08-01; Uini: 2025-08-08). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Rows vs Uini monthly traffic comparison, Rows currently shows 340.9K visits and Uini shows 3.4K; Rows has about 99.5 times the visible traffic of Uini, an absolute difference of about 337.5K visits. This reflects visible reach, not feature quality or paid users.
Only Rows has complete third-party traffic details; Uini 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.
Rows is registered at the rows.com/try-rows subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
Rows is registered under a rows.com subpath, so its large visible total may include the host platform. The current data does not justify choosing Rows for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Product positioning, use cases, and roles
Rows and Uini currently overlap in shared categories: 分析; shared tags: ノーコード. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Rows's unique categories/tags are レポート、スプレッドシート、AIコパイロット、自動化、ビジネスインテリジェンス、データ分析、データ統合、財務モデリング; Uini's are フィードバック管理、カスタマーサポート、AIアンケート、コンバージョン率最適化、顧客インサイト、製品調査、感情分析、ユーザーエクスペリエンス. 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
Rows has no verified rating, 0 comments, 120 favorites, and 130 likes;Uini has no verified rating, 0 comments, 103 favorites, and 116 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Rows first
Put Rows on the priority trial list when the task aligns with “レポート” and especially レポート、スプレッドシート、AIコパイロット、自動化、ビジネスインテリジェンス、データ分析. This follows recorded positioning and does not imply unlisted capabilities are absent.
Rows also currently records: pricing is freemium, product type is website, 340.9K monthly visits shown for the registered host (subpage scope unknown), 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 Uini first
Put Uini on the priority trial list when the task aligns with “フィードバック管理” and especially フィードバック管理、カスタマーサポート、AIアンケート、コンバージョン率最適化、顧客インサイト、製品調査. This follows recorded positioning and does not imply unlisted capabilities are absent.
Uini also currently records: pricing is freemium, product type is website, 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.
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 Rows and Uini, 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.




