CampaignTrackly vs Databox
CampaignTrackly
campaigntrackly.comDatabox
databox.comSide by side
| Figure | CampaignTrackly | Databox |
|---|---|---|
| Price from | $1.16/mo | $6.58/mo |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Plans published | 9 | 7 |
| Spec score · Marketing Analytics Software | 8.1 (#12) | 9.2 (#1) |
| Headquarters | Princeton, New Jersey, USA | Boston, Massachusetts, USA |
| Integrations | The API article names one-click workflows across Excel, HubSpot, Salesforce, Marketo, Adobe Workfront, and other applications. | Databox advertises connections to more than 130 tools plus spreadsheets, databases and warehouses. |
| Intended users | The site describes the platform as serving marketing specialists and teams working with owned and paid media. | Databox describes its product for growing businesses, agencies, and AI implementers. |
| Support | The about page lists weekday support and a phone number, and provides a support email for feature requests and questions. | The listed plans include chat and email support. |
Plans
CampaignTrackly
- URL Builder Pro$15 a month
- URL Builder + Excel Add-in$17.99 a month
- URL Builder Enterprise$21 a month
- Small Business for 1 Monthly$4.99 a month
- Track Pro for 1 Yearly$13.95 a year
- Track Pro Yearly, Team Size up to 10$15 a year
- Track Pro for 1 Monthly$24.99 a month
- Track Pro Monthly, Team Size up to 10$24.99 a month
- Enterprise Pro YearlyPriced on request
Databox
- FreeFree
- Analyst$71 a month
- Team Core$199 a month
- Team Scale$319 a month
- Agency$79 a month
- Agency$79 a year
- CustomPriced on request
In their own words
CampaignTrackly
CampaignTrackly creates tracking links for promotional campaigns so marketing specialists and teams can measure and improve ROI across owned and paid media. It centralizes UTM creation, offers a no-code builder, and can process 1, 10, or 100 links at a time. A Chrome extension and preset libraries are intended to reduce tagging errors. Its API supports one-click workflows across Excel, HubSpot, Salesforce, Marketo, Adobe Workfront, and other applications; API access is enabled automatically for Enterprise and Pro+Excel AI customers, while Pro and Starter users can request it. The service runs on web, with API and extension options, and is made by a company headquartered in Princeton, New Jersey. A free plan is listed, and the pricing note says plans start at $15/user/mo (annual) with a 21-day trial. Listed plans include Small Business for 1 Monthly at $4.99 a month, billed monthly, with up to 1,200 links, and Track Pro for 1 Yearly at $13.95 a year, billed yearly, with up to 8,000 links. The app states that it uses SSL 2048b encryption and daily cloud backups hosted on Amazon.
Databox
Databox brings performance metrics and business context together for teams and agents to analyze, report on and act on results. Its AI Analyst answers plain-language questions using metrics, goals and historical business data. Teams can use shareable dashboards and scheduled reports, and share performance with people who do not have a login. Databox connects to more than 130 tools, as well as databases, spreadsheets and APIs; examples include Google Analytics 4, HubSpot, Google Sheets and Facebook Ads. The company says its integrations include more than 4,000 curated metrics. Agents and routines can automate recurring analysis and workflows under user oversight. The cloud service runs on the web and offers an API, hourly refreshes, embedded analytics and natural-language queries. Free includes one user, three data sources, one dashboard and report, and 50 AI credits per month; its maximum sync frequency is daily. Analyst, Team Core and Team Scale list hourly maximum sync frequency. Free is available, with a 14-day trial and paid plans from $71 a month billed annually. Databox describes its audience as growing businesses, agencies and AI implementers. Its security practices include encryption at rest and in transit, access controls, and a statement that data is not used to train AI models.