Comparison

Cometly vs Tableau in 2026: B2B ad attribution vs enterprise data visualization

One tool answers "which campaign produced closed-won ARR." The other answers "what does this data actually mean." They rarely compete for the same budget line.

Updated July 3, 2026
Cometly
Tableau
Key takeaways
  • Cometly tracks the full funnel from first ad touch to closed-won ARR against actual CRM deal values. Tableau visualizes whatever data you connect to it but has no built-in ad attribution logic.
  • Tableau has transparent per-seat pricing from $15 to $75 a month. Cometly requires a sales call and bills on website session volume, which is harder to estimate upfront.
  • Cometly auto-detects traffic from ChatGPT, Gemini, Grok, and Google AI Overviews as named attribution channels. Tableau has no equivalent AI traffic classification.
  • Tableau connects to 80-plus data sources including Snowflake, BigQuery, and Salesforce CRM. Cometly's CRM and warehouse sync (Snowflake, BigQuery) is gated to its Enterprise tier.
  • Cometly ships an MCP integration for Claude on its Enterprise plan, letting users query attribution data through natural language. Tableau's equivalent AI layer is Ask Data and Pulse, built for exploring visualized data rather than querying attribution outcomes.
  • Tableau is built for any team that needs data visualization; Cometly is narrowly built for B2B SaaS companies running paid ads with long sales cycles.

Cometly and Tableau show up in the same "Analytics & Reporting" category, but they solve different problems for different buyers. Cometly is a marketing attribution platform built for B2B SaaS companies that need to trace an ad click through to closed-won ARR in the CRM, with usage-based pricing that requires a sales call. Tableau is Salesforce's visual analytics platform, a drag-and-drop tool for building dashboards from any connected data source, priced per seat from $15 to $75 a month. If your question is "did this LinkedIn campaign produce revenue," Cometly was built for exactly that question. If your question is "help me explore and visualize whatever data I already have," Tableau is the deeper tool. Some teams end up using both: Cometly for attribution, Tableau to visualize the output alongside everything else.

The tools at a glance

ToolStarting priceBest for
CometlyUsage-based, contact for pricingB2B SaaS marketing teams spending real budget on Google, LinkedIn, or Meta ads who need to trace a specific campaign to closed-won ARR 60 to 90 days later.
Tableau$15/user/moData analysts and Salesforce-first organizations that need maximum visualization flexibility across any connected data source, not just ad attribution.

Cometly

B2B SaaS ad attribution that connects every campaign dollar to pipeline created and closed-won ARR.

Full review →
Cometly screenshot

Cometly is a marketing attribution platform built specifically for B2B SaaS companies running paid campaigns on Google, LinkedIn, and Meta. It tracks every session from first ad touch through booked demo, deal created, and closed-won ARR, calculating LTV ROAS against actual CRM deal values instead of platform-reported conversion estimates.

The platform combines pixel tracking with a server-side Conversion API to recover sessions that ad blockers and iOS privacy restrictions would otherwise hide. It also auto-detects and attributes traffic arriving from ChatGPT, Gemini, Grok, and Google AI Overviews, giving teams visibility into how much pipeline is now originating from AI-driven discovery rather than traditional search or paid clicks.

What Cometly does not do is act as a general-purpose visualization layer. There is no drag-and-drop chart builder for arbitrary datasets; the dashboards are purpose-built around attribution, pipeline, and ARR views. Pricing is not public and requires a sales call, with usage billed on website session volume, which can be difficult for high-traffic sites to forecast.

Pricing
Feature
Core
Usage-based, contact for pricing
Enterprise
Custom
Full-funnel revenue attributionYesYes
Server-side Conversion APIYesYes
AI traffic source trackingYesYes
CRM and warehouse syncNoYes
MCP integration for ClaudeNoYes
Self-serve signupNoNo
Best for: B2B SaaS marketing teams spending real budget on Google, LinkedIn, or Meta ads who need to trace a specific campaign to closed-won ARR 60 to 90 days later.

Tableau

Visual analytics platform from Salesforce for exploring complex data, building enterprise dashboards, and sharing governed insights across organizations.

Full review →
Tableau screenshot

Tableau is a visual analytics platform built around drag-and-drop chart creation. Analysts pull dimensions and measures onto a canvas and Tableau generates the appropriate visualization, with calculated fields available for custom business logic. It connects to more than 80 data sources including Snowflake, BigQuery, PostgreSQL, and native Salesforce CRM data.

Since Salesforce acquired Tableau in 2019, the roadmap has leaned further into Salesforce-adjacent use cases, with Einstein-powered features like Explain Data, Ask Data, and Pulse layered on top of the visualization engine. Tableau Prep Builder handles data cleaning visually before it reaches a dashboard, and role-based licensing (Viewer, Explorer, Creator) lets organizations limit expensive Creator seats to the analysts who actually build reports.

Tableau has no attribution logic of its own. It will visualize whatever attribution data you feed it, including a Cometly export, but it will not calculate closed-won ARR against ad spend on its own. The trade-off for that flexibility is a real price premium: Creator licenses run $75 a month per user, well above Power BI's $14, and even Viewer seats cost $15 a month each.

Pricing
Feature
Viewer
$15/user/mo
Explorer
$42/user/mo
Creator
$75/user/mo
View published dashboardsYesYesYes
Edit and publish workbooksNoWeb onlyYes
Tableau Prep BuilderNoNoYes
Connect to all data sourcesNoLimitedYes
Salesforce CRM integrationYesYesYes
Best for: Data analysts and Salesforce-first organizations that need maximum visualization flexibility across any connected data source, not just ad attribution.

Head-to-head feature comparison

Feature
Cometly
Tableau
Primary use caseB2B SaaS ad attributionGeneral-purpose visual analytics
Ad-to-ARR attributionYesNo
AI traffic source detectionYes (ChatGPT, Gemini, Grok, AI Overviews)No
Drag-and-drop visualizationNoYes
Data source connectors70+ integrations80+ native sources
CRM integrationYes (native)Yes (native Salesforce)
Data warehouse syncEnterprise only (Snowflake, BigQuery)Yes (via connectors)
AI query assistantYes (MCP for Claude, Enterprise only)Yes (Ask Data, Pulse)
Public pricingNoYes
Free trialUnclearCreator trial available
Self-serve signupNoNo (sales-assisted)
Starting priceUsage-based (contact for pricing)$15/user/mo (Viewer)

Which should you choose?

B2B SaaS teams needing ad-to-ARR attributionCometly
Teams needing maximum visualization flexibility across many data sourcesTableau
Salesforce-first organizations building CRM-native dashboardsTableau
Teams that need AI traffic source detection out of the boxCometly
Teams that want transparent per-seat pricing without a sales callTableau
Teams needing MCP access to query attribution data through ClaudeCometly

These tools rarely compete head to head because they solve different layers of the same problem. Cometly answers a narrow, high-value question for B2B SaaS marketers: which specific campaign produced closed-won revenue. Tableau answers a much broader question: how do I explore and present any dataset I have access to. A B2B SaaS company with meaningful ad spend often ends up licensing both, using Cometly to generate the attribution data and Tableau to blend it with product, finance, or support data in a single governed dashboard.

Bottom line

Book the Cometly demo if your core problem is proving which ad campaigns actually produce closed-won ARR and your sales cycle is too long for GA4's attribution window to make sense. Start a Tableau Creator trial if your problem is broader: you need to visualize data from many sources, not just ad attribution, and you already have or want a Salesforce-centric data stack. Neither tool replaces the other; they sit at different layers of the reporting stack.

Frequently asked questions

Can Tableau replace Cometly for B2B SaaS ad attribution?

Not on its own. Tableau visualizes whatever data you connect to it, but it has no built-in logic for tracing an ad click through a 90-day B2B sales cycle to a closed-won CRM deal. You would need to build that attribution model yourself or feed Tableau data that Cometly (or a similar attribution tool) already calculated.

Is Cometly cheaper than Tableau?

It depends on team size and usage. Tableau's pricing is transparent and per-seat, from $15 to $75 a month, so a small team can estimate costs immediately. Cometly requires a sales call and bills on website session volume, so total cost is unclear until you get a quote, but for a single high-traffic site the usage-based model could end up costing more or less than a multi-seat Tableau deployment.

Which tool tracks AI-driven traffic like ChatGPT or Google AI Overviews?

Cometly does. It automatically identifies and attributes sessions from ChatGPT, Gemini, Grok, and Google AI Overviews as named channels in its attribution dashboard, alongside Google Ads and LinkedIn Ads. Tableau has no equivalent feature since it is a visualization layer, not a tracking pixel.

Does Tableau work for B2B SaaS marketing teams at all?

Yes, but for a different job. Tableau is commonly used by B2B SaaS revenue operations teams to build governed dashboards that blend CRM, finance, and product data, especially in Salesforce-centric organizations. It is not built to calculate ad-to-ARR attribution the way Cometly is; it visualizes whatever attribution numbers you already have.

Do I need both tools if I run a B2B SaaS company with heavy Salesforce usage?

Many teams in that position use Cometly to generate accurate ad-to-ARR attribution data and Tableau to visualize it alongside CRM, finance, and product metrics in one governed dashboard. The two tools are complementary rather than competing when your Salesforce investment is significant.

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