--- description: Odyssey Attributionを実際に使用したユーザーのレビューから、製品の機能や価格、メリットデメリットをご覧いただけます。類似製品との比較も簡単、ぴったりのSaaSが見つかるはず！ image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Odyssey Attributionとは？ | 機能や料金、導入事例をご紹介【キャプテラ】 --- 現在地表示: [ホーム](/) > [広告効果測定ツール](/directory/31081/marketing-attribution/software) > [Odyssey Attribution](/software/186717/odyssey-attribuiton) # Odyssey Attribution Canonical: https://www.capterra.jp/software/186717/odyssey-attribuiton > マルチタッチ・アトリビューション、Googleアナリティクスと統合可能。Eコマース向けの実行可能なインサイト。無料ヘルスチェックを使用することができます。 > > 評価：5人のユーザーによる評価は**4.8/5**。**おすすめ度**で最高の評価。 ----- ## 概要 ### Odyssey Attributionの対象ユーザー Eコマース。 ## 簡単な統計と評価 | 測定基準 | 評価 | 詳細 | | **総合評価** | **4.8/5** | 5 レビュー | | 使いやすさ | 4.8/5 | レビュー全体に基づく | | カスタマー・サポート | 4.8/5 | レビュー全体に基づく | | 価格の妥当性 | 4.6/5 | レビュー全体に基づく | | 機能 | 4.8/5 | レビュー全体に基づく | | おすすめ率 | 90% | (9/10 おすすめ度) | ## 企業情報 - **キャプテラについて**: Odyssey - **ロケーション**: Amsterdam, オランダ - **設立**: 2016 ## ビジネスコンテキスト - **価格プラン**: €500.00 - **価格モデル**: (無料のトライアル) - **対象となる企業**: 自営業, 2～10, 11～50, 51～200, 201～500, 501～1,000, 1,001～5,000, 5,001～10,000, 10,000+ - **デプロイとプラットフォーム**: クラウド、SaaS、ウェブベース - **サポートされる言語**: オランダ語, 英語 - **利用可能な国**: アイスランド, アイルランド, アメリカ合衆国, イギリス, インド, オランダ, オーストラリア, オーストリア, カナダ, スウェーデン, ドイツ, ニュージーランド, フィンランド, フランス, ブラジル, ベルギー, メキシコ, 中国, 日本 ## 機能 - Multi-Channel Attribution - ROI Tracking - エンゲージメント追跡 - カスタマー・ジャーニーのマッピング - キャンペーン分析 - キャンペーン管理 - クロスチャネル属性 - コンバージョン追跡 - ダッシュボード - データのインポート／エクスポート - データの可視化 - パフォーマンス測定基準 - マルチタッチ・アトリビューション - レポートと統計 - 属性モデリング - 検索／フィルター ## 統合 (合計10件) - Awin - Google Ads - Google Analytics 360 - Instagram - Meta for Business - Radius - Shopify - TradeTracker - WooCommerce - impact.com ## サポートのオプション - メール/ヘルプデスク - FAQ/フォーラム - ナレッジベース - 電話サポート - チャット対応有 ## Category - [広告効果測定ツール](https://www.capterra.jp/directory/31081/marketing-attribution/software) ## 関連カテゴリー - [広告効果測定ツール](https://www.capterra.jp/directory/31081/marketing-attribution/software) - [マーケティング分析ツール](https://www.capterra.jp/directory/31018/marketing-analytics/software) - [カスタマージャーニーマップツール](https://www.capterra.jp/directory/31537/customer-journey-mapping-tools/software) - [マーケティング計画ツール](https://www.capterra.jp/directory/30964/marketing-planning/software) ## 代替製品 1. [Marketo Engage](https://www.capterra.jp/software/75130/marketo-lead-management) — 4.3/5 (710 reviews) 2. [Dreamdata](https://www.capterra.jp/software/197705/dreamdata-io) — 4.8/5 (55 reviews) 3. [monday.com](https://www.capterra.jp/software/147657/monday-com) — 4.6/5 (5726 reviews) 4. [Funnel](https://www.capterra.jp/software/156756/funnel) — 4.7/5 (19 reviews) 5. [AppsFlyer](https://www.capterra.jp/software/156811/appsflyer) — 4.5/5 (138 reviews) ## レビュー ### "Odyssey helps us save tons (sometimes literraly) of money through attribution insights." — 5.0/5 > **Vincent** | *2019年6月21日* | マーケティング、広告 | おすすめ評価：10.0/10 > > **良いポイント**: Odyssey is great for its core functionality; finding out the incrementality of our marketing campaigns. This helps us redistribute budgets more effectively and increase overall sales coming from online marketing using the same or oftentimes lower budgets than before. I firmly believe in the Odyssey vision of using the human brain as the last touch. We often see that other attribution models get it wrong because they're based on multiple assumptions that sometimes don't hold. They don't incorporate the nuances (e.g. sales periods, events, changes in the industry etc.) where humans still have an edge on the machines. Simplicity is another core strength, I don't have to wade through dozens of reports/datasets to find the insights I'm looking for. Once a week I can go into the account(s) and look at the insights (i.e. are we driving incremental growth in our campaigns and how can we improve that). This makes budgeting very easy, as Odyssey suggests the media spend for each channel and campaign. We don't need to have expensive monthly/quarterly budgeting meetings that yield mediocre results anymore. In short, Odyssey is simple yet effective. > > **改善点**: As a data geek, sometimes I would like to have more ability to customize columns and create custom KPIs. Currently, Odyssey doesn't allow you to create custom columns. However, it's easy to talk to the team and suggest improvements, so I expect the tool to become better and better. > > Odyssey has helped us make decisions based on the right data. Before, like most companies, we were using mostly last-click attribution. Last-click attribution may help FB/Google grow, but it's a fundamentally broken KPI that hurts lots of online businesses. We have now gained a competitive edge over other agencies that still continue to work with just last click data. This has become a USP for our company and it helps us drive more growth for our clients. ----- ### "Perfect tooling" — 5.0/5 > **Berend** | *2021年3月17日* | マーケティング、広告 | おすすめ評価：10.0/10 > > **良いポイント**: Very nice interface and easy to use on a daily basis > > **改善点**: More information about the suggested spend per daily instead of the suggested spend per selected data range > > Very helpfull to analyse every channel/campaign on a attributed way ----- ### "Great tooling for seeing the real value of each marketing channel in the customer journey" — 4.0/5 > **Huma** | *2021年3月15日* | オンラインメディア | おすすめ評価：8.0/10 > > **良いポイント**: Odyssey Tooling really helps us as online marketers to not only see the omnichannel revenue based on what Google Analytics says, but it really looks beyond that. Especially the incrementality value of each marketing channel really helps us evaluating what role a certain channel has in the customer journey (also based on the ad spend per channel). For example if you would look at Analytics last click data you will find that social media platforms such as Facebook always has a lower score in terms of conversions and traffic. However with the tooling of Odyssey we can see that this channel really adds value in the customer journey as being the initiating channel for a new customer journey and reaching out new clients. The same applies for the other channels aswell such as Google Ads, Microsoft, display marketing etc. > > **改善点**: I would say it really takes time to fully understand how the tooling works and how to be able to read the given data correctly as there is a lot of information shared in the tooling. At this point we are also looking into ways on how we can make this as easy to follow for our clients aswell building a custom dashboard were we only show the most important data. Sometimes it can be a bit challenging to implement changes because they don't match with the clients marketing strategy which is why we are looking into smarter ways to read the data. However once you've mastered this, the tooling is really easy to use. > > The staff working at Odyssey are really easy to reach out to and reply fast. There is also a good collaboration between the two companies into making sure the implementation goes smooth. Also their demo option (which we can book with the client, Odyssey and ourselves) really helps understanding the platform better. ----- ### "The best attribution tool" — 5.0/5 > **milo** | *2021年3月17日* | マーケティング、広告 | おすすめ評価：10.0/10 > > **良いポイント**: It give you a good insight of the attribution of every marketing channel. > > **改善点**: None yet, they will solve the problem quite quick for you. ----- ### "Great tool enabling marketeers to analyse their marketing channels" — 5.0/5 > **Tom** | *2019年5月17日* | アパレル、ファッション | おすすめ評価：9.0/10 > > **良いポイント**: - Easy to us - Great customer support - The development team always quick with helping out - Provides interesting insight into our marketing channels > > **改善点**: - Didn't find one really. The fact that attribution to net revenue will be included soon makes the tool even stronger. > > \- Great guys and developers behind the tool trying to make the most out of it for their customers\! ## リンク - [Capterraで表示する](https://www.capterra.jp/software/186717/odyssey-attribuiton) ## このページは以下の言語で利用できます | ロケール | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | ja | | | nl | | | nl-BE | | | sv | | ----- ## 構造化データ