總結
Archive 總結
Archive automatically collects your brand’s UGC so you never have to scroll social media feeds in search of content again. Organize your assets, manage Usage Rights, and analyze real-time engagement data to unlock the full power of your content.
Archive 著陸頁
DataGems 總結
Transform scattered marketing data into compelling narratives with DataGems. Experience the power of data-driven storytelling with beautiful content, push notifications and voice notes.
DataGems 著陸頁
比較詳情
Archive 詳細信息
| 類別 | AI分析助手, AI社交媒體助手, 銷售助手, 電子商務助手, AI Instagram 助手, AI Tiktok助手, AI改寫助手 |
| Archive 網站 | https://archive.com |
| 添加時間 | 2023年6月8日 |
| Archive 定價 | -- |
DataGems 詳細信息
| 類別 | AI分析助手 |
| DataGems 網站 | https://datagems.ai |
| 添加時間 | 2024年5月14日 |
| DataGems 定價 | -- |
使用對比
如何使用Archive？
1. Connect your brand's social media accounts to Archive.2. Use the Al-powered Super Search to find the UGC you need in seconds.3. Organize and share UGC with the help of custom tags, collections, and filters.4. Request usage rights and negotiate deals with influencers using Archive's automated conversion feature.5. Run influencer campaigns at scale using the insights and engagement details provided by Archive's API.6. Turn UGC into sales by leveraging Archive's shoppable UGC feed.7. Save time by automating customer responses and rewards.8. Access pricing and case studies to learn more about the success stories of brands using Archive.
如何使用DataGems？
Transform scattered marketing data into compelling narratives with DataGems. Use prebuilt or customizable templates, choose from various visualization options, and keep data fresh with automatic updates for real-time tracking.
比較 Archive 和 DataGems 的優點
Archive 的核心功能
- Al-powered Super Search to quickly find desired UGC
- Custom tags, collections, and filters for efficient organization and sharing of UGC
- Automated usage rights management to eliminate risk
- TikTok and Instagram capture to track all tagged content in one app
- Shoppable UGC feed to convert content into sales
- Automation for responding and rewarding customers
- API access for enriched community details and engagement
- Case studies showcasing successful implementations of Archive
DataGems 的核心功能
- Data-driven storytelling
- AI-generated insights
- Canva style storytelling interface
比較用例
Archive 的用例
- Finding the best UGC for social commerce
- Working with a higher number of influencers
- Running more successful campaigns
- Driving increased sales
- Effortlessly managing community
- Eliminating risk by managing usage rights
- Keeping track of TikTok and Instagram content
- Responding and rewarding customers efficiently
- Converting UGC into sales
DataGems 的用例
- Data-driven product development
- Investor Reporting
- Business health monitoring
Archive 的流量
Archive 是月访问量為 194.2K 且平均訪問時長為 00:00:23 的工具。 Archive 的每次訪問頁數為 1.45，跳出率為 81.40%。
最新網站流量
| 月訪問量 | 194.2K |
| 平均訪問時長 | 00:00:23 |
| 每次訪問頁數 | 1.45 |
| 跳出率 | 81.40% |
DataGems 的流量
DataGems 是月访问量為 1.0K 且平均訪問時長為 00:00:01 的工具。 DataGems 的每次訪問頁數為 1.16，跳出率為 82.54%。
最新網站流量
| 月訪問量 | 1.0K |
| 平均訪問時長 | 00:00:01 |
| 每次訪問頁數 | 1.16 |
| 跳出率 | 82.54% |
地理流量
The top 5 countries/regions for Archive are:United States 37.32%, United Kingdom 7.66%, Canada 4.94%, India 4.68%, Australia 3.09%
Top 5 Countries/regions
 | 37.32% |
 | 7.66% |
 | 4.94% |
 | 4.68% |
 | 3.09% |
地理流量
The top 3 countries/regions for DataGems are:United States 64.04%, United Kingdom 19.89%, India 16.07%
Top 3 Countries/regions
| 64.04% |
| 19.89% |
| 16.07% |
網站流量來源
Archive 的 6 個主要流量來源是：直接 74.00%, 自然搜尋 23.00%, 引薦 1.94%, 郵件 0.54%, 社群 0.52%, 多媒體廣告 0.00%
直接 | 74.00% |
自然搜尋 | 23.00% |
引薦 | 1.94% |
郵件 | 0.54% |
社群 | 0.52% |
多媒體廣告 | 0.00% |
網站流量來源
DataGems 的 6 個主要流量來源是：直接 68.29%, 引薦 31.71%, 郵件 0.00%, 自然搜尋 0.00%, 社群 0.00%, 多媒體廣告 0.00%
直接 | 68.29% |
引薦 | 31.71% |
郵件 | 0.00% |
自然搜尋 | 0.00% |
社群 | 0.00% |
多媒體廣告 | 0.00% |
Archive 或 DataGems哪個更好？
Archive 可能比 DataGems 更受歡迎。如您所見，Archive 每月有 194.2K 次訪問，而 DataGems 每月有 1.0K 次訪問。 所以更多的人選擇Archive。 因此，人們很可能會在社交平台上更多地推薦 Archive。
Archive 的平均訪問持續時間為 00:00:23，而 DataGems 的平均訪問持續時間為 00:00:01。 此外，Archive 的每次訪問頁面為 1.45，跳出率為 81.40%。 DataGems 的每次訪問頁面為 1.16，跳出率為 82.54%。
Archive 的主要用戶是United States, United Kingdom, Canada, India, Australia，分佈如下：37.32%, 7.66%, 4.94%, 4.68%, 3.09%。
DataGems 的主要用戶是 United States, United Kingdom, India，分佈如下：64.04%, 19.89%, 16.07%。
查看其他对比
最受歡迎的
