Best for Growth & Demand Gen Teams

The Best Analytics & Reporting Tools for Growth & Demand Gen Teams

7 analytics and reporting tools compared on whether they connect spend to closed-won revenue, not just a dashboard full of sessions and leads.

Updated July 9, 2026  ·  7 tools reviewed
Key takeaways
  • Cometly connects every ad dollar to closed-won ARR for B2B SaaS teams and now auto-detects AI traffic sources like ChatGPT and Gemini, though pricing is usage-based and requires a sales call.
  • Factors.ai turns account-level intent signals into LinkedIn ad automation and pipeline actions starting at $199/month, with serious ABM features waiting at $6,000/year and up.
  • Ruler Analytics closes the loop between online touchpoints, offline calls, and CRM revenue for long B2B cycles, but starts at £269/month with no self-serve trial.
  • Usermaven combines marketing attribution and product analytics for B2B SaaS in one self-serve tool, with CRM deal attribution unlocking at the $199/month Scale plan.
  • Mixpanel gives you a genuinely free 1M-events-per-month tier to map exactly where signups stall before becoming an MQL, though it has no built-in marketing attribution.
  • Databox rolls up ad spend, CRM, and web analytics into one dashboard with an AI analyst that answers plain-language questions, starting at $399/month for the tier most teams actually need.
  • SegmentStream runs incrementality testing to prove your paid spend created pipeline rather than just claiming credit for it, but the floor is $800/month with no self-serve trial.

You know the moment a pipeline review goes sideways: your dashboard says traffic is up, leads are up, and then someone asks how much of that touched a closed deal, and the honest answer is you cannot say. Most analytics tools were built to count sessions, clicks, and form fills, which is a different job than proving a specific campaign produced a specific dollar of pipeline. If your sales cycle runs 60, 90, or 180 days, that gap between "leads generated" and "revenue attributed" is exactly where your budget gets questioned. Here are 7 tools worth evaluating on that one criterion: does the number in the dashboard trace back to a deal your CRM actually closed.

What usually goes wrong
  • Attribution that stops at the demo-booked or trial-signup stage, leaving you to guess which channels actually produced closed-won revenue
  • A dashboard for ad spend, a separate login for the CRM, and a third tool for web analytics, none of which agree on the same number
  • Tools that market "AI-powered insights" but still expect you to manually match a campaign to a Salesforce opportunity in a spreadsheet
  • Pricing that punishes you for connecting more of your funnel, charging per data source or per event just as your reporting gets more complete

What you should look for

Revenue attribution, not just lead attribution

Does the tool connect a campaign or channel to an actual closed-won deal value in your CRM, or does it stop counting the moment a form gets submitted?

Built for long B2B sales cycles

Can the attribution model handle a 60, 90, or 180-day gap between first touch and closed revenue, including offline touchpoints like a sales call, without collapsing into last-click guesswork?

Accessible pricing before the enterprise conversation

Can you get a real self-serve trial or transparent starting price, or does every meaningful feature require a demo call and a quote you cannot compare against anything?

Sits next to your existing pipeline dashboard

Does the data reach you through an API, a BI connector, or a native integration, so it lives beside your funnel and CRM numbers instead of as a separate tab you have to remember to check?

Tools at a glance

ToolStarting priceBest for
CometlyUsage-based, contact for pricingYou spend real budget on paid channels for a B2B SaaS product and refuse to report ROAS off anything less than closed-won ARR.
Factors.ai$199/monthYou run ABM or LinkedIn-heavy demand gen and need account intent turned into a pipeline action, not just a dashboard.
Ruler AnalyticsFrom £269/monthYour sales cycle is long enough that last-click attribution is actively lying to you, and calls or offline touchpoints are part of how deals actually close.
Usermaven$84/moYou want marketing attribution and product activation data in one self-serve tool instead of paying for two separate subscriptions.
Mixpanel$0/monthYou need to see exactly where signups stall before they become an MQL or a paying customer, not just whether they signed up at all.
Databox$0/monthYou need one dashboard that rolls up ad spend, CRM pipeline, and web analytics without building a custom BI stack from scratch.
SegmentStreamFrom $800/moYou manage significant paid spend and need incrementality-tested proof that it is creating new pipeline, not just modeled attribution.
Now let's dive into the tools

Cometly

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

Full review →#1
Why it matters for Growth & Demand Gen Teams

Cometly tracks every session from first ad click through booked demo, deal created, and closed-won ARR, calculated against actual CRM deal values rather than a platform-reported conversion event. That matters because it corrects for the thing last-click and standard GA4 attribution get wrong for you specifically: your buyer might not close for 60 to 90 days, and by the time they do, the credit has usually landed on the wrong channel. Cometly also auto-detects AI traffic sources including ChatGPT, Gemini, Grok, and Google AI Overviews, showing them alongside Google Ads and LinkedIn Ads with the same pipeline and ARR metrics applied.

The tradeoff is real: there is no public pricing, billing is based on website sessions rather than a flat rate, and the MCP integration for Claude plus warehouse sync to Snowflake and BigQuery only unlock on Enterprise. If you run meaningful paid spend for a B2B SaaS product and need the closed-won number, not the demo-booked number, it is worth the sales call. If your business model is eCommerce or content-led with a short purchase cycle, this is not built for you.

Pricing
Feature
Core
Usage-based, contact for pricing
Enterprise
Custom
Pricing modelBased on website sessionsCustom
Pixel tracking
Server-side tracking
Multi-touch attribution
Account journeys
Customizable dashboards
Ask AI
Conversion API
AI Ads Manager
70+ integrations
CRM and warehouse sync
MCP integration
Cometly API
Snowflake and BigQuery support
Dedicated solutions engineer
Pros
  • Full-funnel attribution from first ad touch to closed-won ARR, not just demo booked
  • Tracks AI traffic sources including ChatGPT, Gemini, Grok, and Google AI Overviews
  • MCP integration allows Cometly data to flow directly into Claude for natural language querying
  • Server-side tracking via Conversion API reduces ad blocker data loss significantly
  • Enterprise plan includes Snowflake and BigQuery support for warehouse-native attribution
Cons
  • No public pricing, requires a sales call to get a quote
  • Usage-based pricing based on website sessions, which can be hard to forecast for high-traffic sites
  • Primarily built for B2B SaaS, making it a poor fit for eCommerce or content sites
  • MCP and API access only available on the Enterprise plan
  • Free trial availability is unclear and not prominently offered
Best for: You spend real budget on paid channels for a B2B SaaS product and refuse to report ROAS off anything less than closed-won ARR.

Factors.ai

AI-first ABM platform that turns account intent signals into pipeline actions.

Full review →#2
Why it matters for Growth & Demand Gen Teams

Factors.ai identifies which named accounts are visiting your site and engaging before they ever fill out a form, unmasking 75%+ of anonymous visits on the Basic plan and above. For you, that means you can see account intent building weeks before a lead shows up in your CRM, and LinkedIn AdPilot turns that intent data directly into audience building and campaign automation rather than a report you have to act on manually. Full-funnel attribution credits first touch, last touch, and influenced touchpoints, so a LinkedIn campaign that nudged an account toward a deal gets credit even if it never generated the final form fill.

The $199/month Lite tier is real, but it is an entry point, not the product. Custom account scoring, G2 intent data, and complete buyer journey visibility live at the $20,000/year Growth tier, and impression control for LinkedIn ads waits for Enterprise at $30,000+/year. Budget for Basic at minimum if you actually want the ABM and CRM sync features that make this worth evaluating.

Pricing
Feature
Lite
$199/month
Basic
$6,000/year
Growth
$20,000/year
Enterprise
$30,000+/year
Company identification (website visitors)
Website traffic analysis
Slack/MS Teams alerts
Unmask 75%+ of visiting companies
Account segmentation
LinkedIn Ads influence tracking
Rule-based alerts and workflows
CRM sync
Complete buyer journey visibility
Custom account scoring
G2 intent data
Custom agentic alerts and workflows
Predictive account scoring
LinkedIn Ads impression control
Dynamic audience sync to Google/LinkedIn
Enhanced Google Conversions
Pros
  • Contact-level identification tracks the actual buyers inside target accounts, not just account-level visits
  • LinkedIn AdPilot automates audience building and conversion feedback directly from intent data
  • Full-funnel attribution credits first touch, last touch, and influenced touchpoints
  • MCP integration feeds GTM account context to AI agents for richer automation
  • G2 intent data included on Growth tier to identify in-market accounts researching competitors
Cons
  • Serious ABM features like account scoring and G2 intent require the Growth plan at $20K/year
  • LinkedIn AdPilot impression control is locked to Enterprise at $30K+/year
  • Predictive account scoring only available at Enterprise tier
  • Onboarding complexity is real since it aggregates data from website, CRM, ads, and intent sources
  • No transparent pricing for add-ons, requiring a sales conversation to understand total cost
Best for: You run ABM or LinkedIn-heavy demand gen and need account intent turned into a pipeline action, not just a dashboard.

Ruler Analytics

Unified marketing measurement platform that connects every customer touchpoint, online and offline, to real revenue in your CRM

Full review →#3
Why it matters for Growth & Demand Gen Teams

Ruler Analytics does something most tools in this category cannot: it connects a phone call, a trade show lead, or a live chat session back to the original marketing touchpoint and the eventual CRM deal value. If your buyers talk to an SDR before they ever convert online, or your deal closes six months after the first ad click, this is the attribution model built for that reality instead of pretending everything happens in a single browser session. The budget scenario planner adds saturation curves per channel, which is genuinely useful the next time you need to defend a reallocation decision to a CFO with data instead of a hunch.

None of this is cheap or fast to get into. Every plan requires a demo call, pricing is in GBP and scales by monthly traffic volume, and the two features that make Ruler worth the premium, marketing mix modelling and the AI Agent layer, are locked to the £1,349/month Advanced plan. If your team is small or your sales cycle closes in a single session, the price-to-value math will not favor you here.

Pricing
Feature
Small
From £269/month
Medium
From £449/month
Large
From £899/month
Advanced
From £1,349/month
Monthly visits includedUp to 10kUp to 50kUp to 100k100k+
First-party data platform
Multi-touch attribution
Data-driven and impression attribution
Advanced segmentation
Marketing mix modelling
AI Agent (Analyst and Media Planner)
Dedicated CS manager
White-glove onboarding
Phone, email and live chat support
Pros
  • Closes the loop between online marketing touchpoints and offline CRM revenue, including phone calls, trade shows, and sales outreach
  • Marketing mix modelling (MMM) on Advanced plans fills in the gaps that click-path tracking misses, including impression and upper-funnel influence
  • White-glove onboarding and a dedicated customer success manager are included on every paid plan, not just enterprise tiers
  • Integrates with 1,000+ apps across ad platforms, CRMs, martech, data warehouses, and BI tools in one product
  • Budget scenario planner uses saturation curves to forecast ROI and pinpoint diminishing returns before you overspend
  • AI Agent (Analyst and Media Planner) layer on the Advanced plan automates routine analysis and budget recommendations
Cons
  • No self-serve sign-up: every plan requires booking a demo before you can access the product
  • Pricing is in GBP and scales by monthly traffic volume rather than seats or keywords, which makes cost comparison with competitors non-obvious
  • Marketing mix modelling is locked to the Advanced tier (£1,349/month), making the most powerful measurement capability out of reach on lower plans
  • No free tier or trial period is offered, so there is no low-risk way to evaluate the product before committing
  • Data-driven and impression attribution models are only available from the Medium plan (£449/month) upward
Best for: Your sales cycle is long enough that last-click attribution is actively lying to you, and calls or offline touchpoints are part of how deals actually close.

Usermaven

AI marketing attribution and product analytics for B2B SaaS teams who need to connect campaigns to revenue.

Full review →#4
Why it matters for Growth & Demand Gen Teams

Usermaven is the rare tool that treats marketing attribution and product analytics as one problem instead of two separate purchases. You get cross-channel ROAS on Google, Meta, and LinkedIn calculated against actual conversions, plus product engagement tracking, retention cohorts, and funnel analysis for what happens after someone signs up. On the Scale plan, CRM integration ties attribution to closed-won revenue and contract value, so you can see which campaigns sourced your highest-LTV customers, not just your highest lead count.

You do give something up for the accessible price: Usermaven uses cookies, so you still need a consent banner for European visitors, and the features that actually answer the revenue question, CRM sync, paid ads attribution, Maven AI, all wait for the $199/month Scale plan. Start the 14-day trial on Growth at $84/month to validate tracking quality before committing to the tier that matters.

Pricing
Feature
Growth
$84/mo
Scale
$199/mo
Enterprise
Custom
Users3UnlimitedUnlimited
Workspaces35Custom
Data history5 years7 yearsUnlimited
Events per month250K250KCustom
Web analytics
Product analytics
Funnel and user flow analysis
Paid ads attribution
CRM and deals attribution
Retention analysis
Maven AI
Auto-sync conversions to ad networks
Export to data warehouse
14-day free trial
Pros
  • Combines marketing attribution and product analytics in one platform without requiring two tools
  • AI-powered Maven AI provides automated insights and anomaly detection on the Scale plan
  • Paid ads attribution connects to Google, Meta, and LinkedIn for cross-channel ROAS reporting
  • CRM integration enables deal-level attribution so you can see which campaigns sourced closed revenue
  • White-label option available for agencies managing multiple client analytics accounts
Cons
  • Uses cookies, which means you still need a consent banner for European visitors
  • Growth plan at $84/month is priced higher than most comparable privacy-first tools
  • CRM integration and attribution features only available on Scale plan at $199/month
  • Pricing scales with event volume so high-traffic sites face significant cost increases
  • Complex feature set has a steeper learning curve than single-purpose tools like Plausible
Best for: You want marketing attribution and product activation data in one self-serve tool instead of paying for two separate subscriptions.

Mixpanel

Product analytics platform for tracking user behavior, conversion funnels, and retention with AI-powered insights and event-based data modeling

Full review →#5
Why it matters for Growth & Demand Gen Teams

Mixpanel answers a question that pure attribution tools cannot: once someone signs up, where exactly do they stall before becoming an MQL or a paying customer? The event-based model lets you build funnels segmented by acquisition channel, plan type, or any user property, and the free tier covers 1M events per month with no time limit, which means you can start mapping your activation funnel before anyone approves a budget line. Session replay is bundled in at up to 20K replays per month, so you can click straight from a funnel drop-off into an actual recording of the users who left.

What Mixpanel will not do is tell you which ad or campaign brought that signup in the first place. It has no built-in marketing channel attribution, so pair it with whatever tool in this list handles the top of your funnel. It also requires real developer instrumentation upfront; teams that rush the event schema end up with data nobody trusts.

Pricing
Feature
Free
$0/month
Growth
$0.28 per 1K events above 1M free events/month
Pro
Contact for pricing
Enterprise
Contact for pricing
Free events per month1M1M includedUnlimitedUnlimited
Session replay20K/mo20K+ (paid)
Cohort sync to ad platforms
Data warehouse connectors
Group analytics
SSO and advanced security
SLA and dedicated support
API access
EU data residency
Pros
  • Free tier covers 1M events per month with no time limit or feature degradation
  • Event-based model enables precise funnel analysis, cohort tracking, and retention curves
  • Session replay included at up to 20K replays per month on the free tier
  • AI-powered query assistant lets non-technical users explore data without writing queries
  • Strong API access for ingestion and export on all tiers including free
  • GDPR-friendly with EU data residency options and built-in data deletion tools
Cons
  • Requires developer instrumentation to capture meaningful events, not plug-and-play for non-technical teams
  • The event schema needs to be designed carefully upfront or you end up with messy, unusable data
  • Growth pricing at $0.28 per 1K events above 1M can escalate quickly for high-volume consumer apps
  • No built-in SEO or marketing channel attribution, purely a product analytics tool
  • Dashboard builder is functional but less visually polished than dedicated BI tools
  • Enterprise plan pricing is not public and requires a sales conversation for any advanced features
Best for: You need to see exactly where signups stall before they become an MQL or a paying customer, not just whether they signed up at all.

Databox

Business intelligence platform with an AI analyst, 130+ integrations, and automated reporting for teams that need answers without waiting on analysts

Full review →#6
Why it matters for Growth & Demand Gen Teams

Databox is the tool for the moment your VP wants one dashboard that rolls up ad spend, CRM pipeline, and web analytics without you hiring a BI engineer to build it. The Genie AI analyst answers plain-language questions grounded in your actual connected data, explains what drove a metric change, and can build a dashboard from a single prompt, which matters when a non-technical stakeholder needs an answer faster than your team can build a custom report. Goals and OKR tracking connect strategy targets to live metric data, and forecasting with best and worst-case scenarios turns budget planning conversations into something backed by numbers rather than a guess.

The pricing model has real friction: data sources are counted and capped per plan, so connecting your full multi-channel stack on Pro adds $5.60/month per additional source, and white-labeling costs extra even at the $399/month Growth tier. Evaluate Growth directly rather than starting on Pro if a rolled-up pipeline dashboard is the actual goal, since that is where forecasting and sub-accounts unlock.

Pricing
Feature
Free
$0/month
Analyst
$64/month
Pro
$159/month
Growth
$399/month
Custom
Contact sales
Data sources included3533Custom
Users11UnlimitedUnlimitedUnlimited
AI credits/month505001,5004,000Custom
Max sync frequencyDailyHourlyHourly15 min15 min
Historical data11 months24 months24 monthsUnlimitedUnlimited
Forecasting
Sub-accounts
White-labelingAdd-onAdd-on
Dedicated CSM
OKRsAdd-onAdd-on
Pros
  • Genie AI analyst answers business performance questions in plain language and builds dashboards from a single prompt
  • 130+ native integrations covering CRMs, ad platforms, databases, spreadsheets, and data warehouses
  • MCP server connects Databox to external LLM tools and automation workflows for recurring performance summaries
  • Goals and OKR tracking connects strategy to live metric data so teams can see progress without manual updates
  • Sub-accounts on Growth and Custom plans let agencies manage multiple clients from one Databox login
  • Forecasting and best/worst-case scenario modeling available on Growth tier without needing a custom contract
Cons
  • Data sources are counted and capped per plan, so connecting more than 3 sources on Pro adds $5.60/month each, which stacks fast for multi-channel teams
  • White-labeling costs extra on every paid plan, including Growth at $399/month, which most competing BI tools include at that price point
  • Free plan is capped at 1 user, 3 data sources, 50 AI credits, and 11 months of history, making it useful for evaluation only
  • OKRs require an add-on purchase on Pro and Growth plans despite being a core performance management feature
  • 15-minute data sync, which most teams will want, costs an additional $40/month per source on Pro
Best for: You need one dashboard that rolls up ad spend, CRM pipeline, and web analytics without building a custom BI stack from scratch.

SegmentStream

Cross-channel attribution and budget allocation built for AI agents and marketing teams.

Full review →#7
Why it matters for Growth & Demand Gen Teams

SegmentStream runs actual incrementality testing, controlled experiments that tell you whether a channel is generating new pipeline or just claiming credit for demand that would have converted anyway. That is a meaningfully different question than the attribution modeling most tools in this list offer, and it matters most once your paid budget is large enough that a wrong answer costs real money. The MCP integration lets you query attribution data and reallocate budget directly from Claude or ChatGPT, and the Full Funnel tier is built specifically for B2B teams connecting ad spend to CRM revenue across long cycles.

None of this is for a team just getting started. The floor is $800/month, there is no self-serve trial, billing is quarterly or annual only, and onboarding requires real technical integration work with your ad platforms and CRM. If you manage $50K or more per month in paid spend and want proof rather than a model, it earns the price.

Pricing
Feature
Online
From $800/mo
Full Funnel
From $1,200/mo
Enterprise
From $5,000/mo
Identity Graph
Cross-Channel Attribution
Predictive Attribution (Pro)Add-onAdd-on
Self-Reported Reattribution (Pro)Add-onAdd-on
Marginal Analytics (Pro)Add-onAdd-on
Incrementality TestingAdd-onAdd-on
AI Agent & MCP Access
CRM & Warehouse Conversions
CRM Funnel Attribution
Server-Side Conversion Tracking
Automated Budget Allocation
Dedicated CSM
White-Glove Onboarding
BillingQuarterly or annualQuarterly or annualAnnual only
Pros
  • MCP integration connects attribution data directly to AI agents like Claude and ChatGPT
  • Covers cross-channel attribution, incrementality testing, and marginal analytics in one platform
  • Connects to 20+ ad platforms including Google, Meta, TikTok, LinkedIn, and Snapchat
  • Automated budget allocation removes manual optimization work from the weekly workflow
  • Enterprise tier includes server-side conversion tracking and a dedicated CSM
Cons
  • Starts at $800/month, which rules it out for smaller advertisers or agencies with thin-margin clients
  • No self-serve free trial evident, making evaluation harder without a sales conversation
  • Incrementality testing is an add-on on the Online plan rather than included by default
  • Annual or quarterly billing only, no monthly flexibility on lower tiers
  • Onboarding requires technical integration work that most marketing teams will need support for
Best for: You manage significant paid spend and need incrementality-tested proof that it is creating new pipeline, not just modeled attribution.

Which analytics tool actually proves pipeline impact?

You spend real budget on paid channels for B2B SaaS and want closed-won ARR attributionCometly
You run ABM or LinkedIn-heavy demand gen and need account intent tied to pipelineFactors.ai
Your sales cycle is long and includes offline touchpoints like callsRuler Analytics
You want attribution and product analytics in one self-serve toolUsermaven
You need to see exactly where signups stall before becoming an MQLMixpanel
You need one dashboard rolling up ad spend, CRM, and web analyticsDatabox
You manage large paid budgets and need incrementality-tested proofSegmentStream

If your job is tying analytics to signups, MQLs, and closed-won revenue instead of session counts, the deciding feature is always the same one: does the number trace back to an actual CRM deal. Cometly and Ruler Analytics both do that well for different shapes of business, Cometly for B2B SaaS paid spend chasing closed-won ARR, Ruler for teams with long cycles and offline touchpoints like sales calls. Usermaven gets you most of the way there self-serve at a fraction of the price, provided you budget for the Scale plan where CRM sync actually unlocks. Factors.ai is the right starting point if LinkedIn and ABM are your primary motion and you need account intent turned into automated action, not just a report. Mixpanel and Databox solve adjacent problems well: Mixpanel maps the signup-to-activation funnel your VP asks about after the click, and Databox rolls every source into one dashboard so you stop screenshotting numbers into a slide. SegmentStream is the heaviest and most rigorous option, worth its price only once your paid spend is large enough that an incrementality answer, not a modeled one, actually changes a budget decision. Start with the shape of your sales cycle and your current spend level, not the feature list, and the right tool becomes obvious fast.

Frequently asked questions

What is the best analytics tool for tying marketing spend to pipeline instead of just leads?

Cometly is the strongest fit if you run paid ad spend for a B2B SaaS product, because it tracks every session from first touch through closed-won ARR against actual CRM deal values rather than a platform-reported conversion. If your buyers also convert through offline touchpoints like phone calls or trade shows, Ruler Analytics does the same job with a wider net of touchpoints, though at a higher starting price and without a self-serve trial.

Which analytics tools show revenue attribution tied to actual CRM deals, not just conversions?

Ruler Analytics, Cometly, Factors.ai, and Usermaven all connect marketing activity to CRM deal data, though the depth and price differ. Ruler pulls in offline conversions like calls and trade shows alongside CRM revenue. Cometly focuses specifically on closed-won ARR for B2B SaaS ad spend. Usermaven gets you CRM deal attribution self-serve once you reach its $199/month Scale plan, which is the most accessible entry point of the four.

Is there a free or cheap way to start analytics before proving the channel deserves budget?

Mixpanel's free tier covers a genuinely useful 1M events per month with no time limit, which is enough to map your signup-to-activation funnel before anyone signs off on spend. If you need marketing attribution specifically, Usermaven's 14-day trial on its $84/month Growth plan is the cheapest realistic entry point in this comparison.

Which tool ties ABM or LinkedIn account intent directly to pipeline?

Factors.ai is built specifically for this. It identifies named accounts engaging with your site before they convert, then feeds that intent data directly into LinkedIn AdPilot to automate audience building and campaign targeting. Serious ABM functionality including custom account scoring and G2 intent data requires the $20,000/year Growth plan, so budget accordingly if this is your primary motion.

What is the difference between product analytics and marketing attribution tools in this category?

Product analytics tools like Mixpanel track what happens after someone signs up, funnel drop-off, feature adoption, and retention, but have no visibility into which ad or campaign brought that person in. Marketing attribution tools like Cometly, Ruler Analytics, and SegmentStream track the reverse: which channel and campaign produced a conversion, and increasingly, whether that conversion turned into revenue. Usermaven and Databox are the two tools here that bridge both sides in a single platform.

How much should a growth team budget for analytics with real pipeline attribution in 2026?

Entry pricing in this comparison ranges from free, Mixpanel's 1M-event tier, up to $800+/month for SegmentStream's incrementality testing. The number that actually matters is which tier unlocks CRM revenue attribution: Usermaven gets you there at $199/month, Factors.ai at $6,000/year for Basic, and Ruler Analytics starting at £269/month with the deepest features reserved for the £1,349/month Advanced tier. Match your budget to your sales cycle length and current ad spend rather than the cheapest sticker price.

Found this useful? Share it: