Cometly vs Databox in 2026: Pipeline-to-ARR Ad Attribution vs General-Purpose BI
One connects paid ad spend to closed-won revenue for B2B SaaS companies, sold only through a sales call. The other is a broad reporting platform with public pricing from free to $399 a month.
Cometly
Databox- Databox includes its MCP server on every plan, including Free. Cometly gates MCP access to its Enterprise tier only.
- Cometly tracks AI referral traffic by name, ChatGPT, Gemini, Grok, and Google AI Overviews, as attribution channels alongside Google Ads and LinkedIn Ads. Databox has no equivalent named AI traffic detection.
- Databox publishes pricing from $0 to $399 a month across five tiers. Cometly discloses no pricing anywhere and bills on website session volume after a sales call.
- Cometly is purpose-built for B2B SaaS companies that need to connect ad spend to closed-won ARR inside the CRM. Databox serves a much broader range of marketing teams and agencies across 130+ integrations.
- Databox's Genie AI analyst answers plain-language business questions starting on the Free plan (50 credits a month). Cometly's Ask AI is included on both its tiers but is scoped to attribution data, not general BI questions.
- Databox charges extra for white-label branding on every paid plan except Custom, at $14 a month. Cometly does not offer white-label delivery on any plan.
- Cometly's server-side Conversion API recovers 15 to 30 percent more conversion events than pixel-only tracking. Databox has no comparable server-side ad tracking layer, since it is a BI and reporting tool, not an attribution pixel.
Cometly and Databox both promise to answer "is our marketing working," but they start from opposite ends of the problem. Cometly exists to connect a single ad click to a closed-won deal in your CRM, built specifically for B2B SaaS companies running Google, LinkedIn, or Meta campaigns with long sales cycles. Databox exists to pull data from 130+ sources, marketing or otherwise, into dashboards, automated reports, goals, and forecasts for whichever team needs them. Both shipped an AI layer in the past year and both now have an MCP integration, but they gate that access very differently. If you are trying to prove a specific campaign produced revenue, this comparison tells you which one actually does that and what it costs to find out.
The tools at a glance
Cometly
B2B SaaS ad attribution that connects every campaign dollar to pipeline created and closed-won ARR
Cometly tracks the full customer journey from first ad impression through booked demo, deal created, and closed-won ARR, and it calculates return against actual CRM deal values rather than platform-reported conversions. That distinction matters for B2B SaaS specifically: a lead that books a demo today might not close for 60 or 90 days, and standard ad platform attribution windows are usually too short to catch it. Cometly's 90-day cohort view is built around that longer cycle.
A server-side Conversion API sits alongside the standard pixel, sending conversion events directly to ad platforms and recovering sessions that ad blockers or iOS tracking restrictions would otherwise erase, typically 15 to 30 percent more conversion volume than pixel tracking alone catches. Cometly also auto-detects and attributes traffic from ChatGPT, Gemini, Grok, and Google AI Overviews, showing those channels next to Google Ads and LinkedIn Ads with the same pipeline and closed-won ARR metrics applied.
The catch is access. There is no public pricing anywhere, billing is usage-based on website sessions, and getting a number means a sales call. MCP integration for Claude, CRM and warehouse sync with Snowflake and BigQuery, and the Cometly API are all locked to the Enterprise tier, so the Core plan is really the attribution product without the newer AI and data-infrastructure layer on top.
| Feature | Core Usage-based, contact for pricing | Enterprise Custom |
|---|---|---|
| Pricing model | Based on website sessions | Custom |
| Server-side tracking (Conversion API) | ✓ | ✓ |
| Multi-touch attribution | ✓ | ✓ |
| Ask AI | ✓ | ✓ |
| 70+ integrations | ✓ | ✓ |
| CRM and warehouse sync | ✗ | ✓ |
| MCP integration | ✗ | ✓ |
| Cometly API | ✗ | ✓ |
Databox
Business intelligence platform with an AI analyst, 130+ integrations, and automated reporting
Databox pulls data from more than 130 sources, CRMs, ad platforms, spreadsheets, databases, and data warehouses, into one place where teams build dashboards, automate reports, set goals, and run forecasts. It is not built around any single vertical the way Cometly is around B2B SaaS attribution; it is built to be the reporting layer for whatever mix of tools a team already runs.
Genie, its AI analyst, answers business performance questions in plain language, grounded in the data actually connected to the account, and can build a full dashboard from a single prompt. Every plan gets some Genie access, including Free at 50 credits a month, which is a meaningfully lower bar to AI-assisted reporting than Cometly's Ask AI, which ships on both Cometly tiers but is scoped to attribution rather than general business metrics. Databox added an MCP server in 2025 that connects the platform to Claude and other LLMs for recurring performance summaries, and unlike Cometly it is available on every plan, Free included.
The friction points are pricing structure, not access. Data sources are capped per plan (3 on Free and Pro, 5 on Analyst) with extra sources costing $5.60 a month each on Pro, and white-labeling costs an additional $14 a month on every paid plan short of Custom. None of that changes the fact that Databox is priced and structured for self-serve evaluation in a way Cometly simply is not.
| Feature | Free $0/month | Analyst $64/month | Pro $159/month | Growth $399/month | Custom Contact sales |
|---|---|---|---|---|---|
| Data sources included | 3 | 5 | 3 | 3 | Custom |
| AI credits/month (Genie) | 50 | 500 | 1,500 | 4,000 | Custom |
| Max sync frequency | Daily | Hourly | Hourly | 15 min | 15 min |
| Forecasting | ✗ | ✗ | ✗ | ✓ | ✓ |
| Sub-accounts | ✗ | ✗ | ✗ | ✓ | ✓ |
| White-labeling | ✗ | ✗ | Add-on | Add-on | ✓ |
Head-to-head feature comparison
| Feature | Cometly | Databox |
|---|---|---|
| Primary use case | B2B SaaS ad attribution, first touch to closed-won ARR | General business intelligence and automated reporting |
| Pricing transparency | None (sales call required for a quote) | Full public pricing, five published tiers |
| Starting price | Usage-based (session volume), custom quote | $0/month (Free) |
| Attribution to CRM closed-won revenue | Yes (core feature, tied to actual CRM deal values) | No (metrics, goals, and forecasting, not CRM revenue attribution) |
| AI traffic source detection (ChatGPT, Gemini, etc.) | Yes (ChatGPT, Gemini, Grok, Google AI Overviews) | No |
| Native integrations | 70+ | 130+ |
| AI analyst / natural language querying | Yes (Ask AI, both tiers, scoped to attribution data) | Yes (Genie, from Free plan, 50 AI credits/month) |
| MCP integration | Yes (Enterprise only, for Claude) | Yes (all plans, including Free) |
| Server-side / Conversion API tracking | Yes (Conversion API, both tiers) | No |
| Data warehouse sync | Yes (Enterprise only: Snowflake, BigQuery) | No named warehouse sync feature |
| White-label delivery | No | Add-on on Pro and Growth ($14/mo); included on Custom |
| Multi-client / sub-accounts | No named feature | Yes (Growth and Custom, sub-accounts) |
| Free tier | No | Yes (1 user, 3 sources, 50 AI credits) |
| API access | Enterprise only | Yes (included, all plans) |
Considering AI visibility monitoring alongside Cometly or Databox?
Cometly detects when a visitor arrived from ChatGPT, Gemini, Grok, or Google AI Overviews and attributes the resulting pipeline, but it does not tell you what those AI engines are actually saying about your brand, only that traffic came from them. Databox has no AI traffic detection at all. Neither answers the upstream question: whether your brand shows up when someone asks an AI engine to recommend a tool in your category. AI Peekaboo tracks brand mentions across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode at the prompt level, with a read and write API on every plan from $50 a month. It is a complement to Cometly's traffic attribution or Databox's reporting layer, not a substitute for either.
Read the AI Peekaboo review →Which should you choose?
CometlyDataboxDataboxCometlyDataboxCometlyDataboxThese two solve genuinely different problems even though both sit under "analytics and reporting." Cometly is a specialist: it exists to answer one question, whether a specific campaign eventually became revenue, and it answers that question well for B2B SaaS companies with a CRM and a real sales cycle. Databox is a generalist: it exists to be the reporting layer for whatever data sources a team already has, from ad platforms to spreadsheets to data warehouses, with an AI analyst and MCP access included from the free tier up. A B2B SaaS company spending real money on paid acquisition likely needs both, Cometly for attribution accuracy and Databox, or a similar BI tool, for everything else that needs a dashboard.
Bottom line
Book the Cometly demo and bring your monthly session volume if you are a B2B SaaS company that cannot currently connect a specific campaign to a closed-won deal 60 to 90 days later, that gap is exactly what Cometly is built to close. Start on Databox's free plan, or the $64/month Analyst tier if you need more than 3 data sources, if you want a general reporting and AI-assisted analysis layer without a sales conversation. Agencies managing several clients should look at Databox Growth for the sub-accounts feature rather than trying to force Cometly, which has no multi-client tooling, into that role.
Frequently asked questions
Does Cometly or Databox track AI traffic from ChatGPT and Gemini?
Cometly does, automatically identifying and attributing traffic from ChatGPT, Gemini, Grok, and Google AI Overviews with the same pipeline and closed-won ARR metrics applied to any other channel. Databox has no equivalent named AI traffic detection feature in its own product data.
Is Databox cheaper than Cometly?
Yes, on any measure you can actually check. Databox publishes pricing starting at $0 a month with paid tiers up to $399, while Cometly discloses no pricing at all and bills on website session volume after a sales call. If getting a number without talking to sales matters to your evaluation, Databox is the only one of the two that offers that.
Can Databox attribute revenue to closed-won deals the way Cometly does?
No, Databox tracks metrics, goals, and forecasts across connected data sources, but it does not build a CRM-anchored attribution model that traces a specific ad click through to a closed-won deal value. Cometly is purpose-built for exactly that, calculating LTV ROAS against actual CRM deal values rather than platform-reported conversions.
Do both Cometly and Databox have an MCP integration for Claude?
Both have one, but access differs significantly. Databox includes its MCP server on every plan, including Free, so you can wire it into Claude from day one. Cometly restricts MCP access to its Enterprise tier, meaning you need a custom contract before Claude can query your attribution data directly.
Which tool is better for a B2B SaaS company running LinkedIn and Google Ads?
Cometly is the better fit for connecting that ad spend to actual pipeline and closed-won ARR, since it is purpose-built for B2B SaaS attribution with a 90-day cohort view suited to longer sales cycles. Databox can pull LinkedIn Ads and Google Ads data into dashboards and automated reports, but it does not calculate ROAS against CRM deal values the way Cometly does.
Does Databox include white-label reporting for agencies?
Yes, but it costs extra. White-labeling is available on Pro, Growth, and Custom plans, but requires a $14/month add-on on Pro and Growth, and is only included by default on the Custom enterprise plan. Cometly does not offer white-label delivery on any plan.