of B2B marketers say measuring long-term campaign impact is getting harder
average B2B buying cycle, with 22% extending beyond a year
ad platforms Synter pulls via direct API in one interface
TL;DR
Most B2B marketing teams run ad spend across Google, LinkedIn, and Meta but cannot tie any of it back to closed pipeline. Data sits in separate platforms, and 87% of B2B marketers say measuring long-term campaign impact is getting harder. This guide covers four tool categories: ETL and data pipeline platforms, BI and dashboard layers, attribution-grade revenue analytics, and native CRM analytics. Most of them stop at the report. You read the insight, then switch to another tool to act on it. Synter collapses that gap by pulling performance from 20+ platforms via direct API and letting its AI Agents pause, scale, and reallocate budget in the same interface. Analysis and action become one loop, not two tools.
In This Guide
Why B2B Marketing Analytics Is Broken in 2026
Google Ads ties every click to a GCLID that expires after 90 days. B2B deals don't close that fast. The average buying cycle now runs 6 to 12 months, with 22% extending beyond a year. By the time a deal reaches closed-won in Salesforce, the click that started it is long gone from Google's attribution window.
Google Ads optimizes for the only thing it can see, which is a form fill inside the window. Salesforce counts revenue when an Opportunity closes, often months later. Smart Bidding keeps chasing cheap leads while your real pipeline gets no credit and no budget. The two systems measure different events and never reconcile.
Marketers feel the gap. 87% of B2B marketers say measuring long-term campaign impact is getting harder, and only 46% agree their organization measures content performance effectively. Half the spend goes unmeasured at the revenue level.
Tool fragmentation makes it worse. You analyze performance in one platform, then switch to another to pause a campaign or shift budget. The insight and the action live in separate windows. Acting on what the data shows takes a manual handoff every time.
The right stack has to do two things at once. Connect spend to closed-won revenue, and let you act on that connection without leaving the screen.
What Marketing Analytics Software Must Do for B2B Teams
Marketing analytics software unifies ad performance across every platform you run and connects that spend to the revenue it produces. A tool that reports clicks and form fills but cannot tie them to a closed-won deal solves the wrong problem for B2B.
Start with coverage. Your stack has to pull from Google, LinkedIn, Meta, and whatever else you spend on, then read deal-stage data out of Salesforce or HubSpot. Without the CRM connection, you measure cost per lead and never cost per dollar of pipeline.
Coverage alone fails if the numbers sit in separate platforms. Sales and marketing alignment ranks as a top challenge for 43% of practitioners, and fragmented dashboards make it worse. RevOps, marketing, and your sales reps need to look at the same view of spend and pipeline.
Use this as your scoring lens for every tool below. Cross-platform reach, CRM depth, a spend-to-revenue link, and a dashboard the whole revenue team trusts. Anything missing one of these forces you to bolt on a second tool to fill the gap.
The 9 Best Marketing Analytics and Reporting Tools for B2B (2026)
The nine tools below span four jobs. ETL pipelines like Improvado, Funnel, Supermetrics, and Adverity move and normalize your data. Looker Studio visualizes it. Dreamdata, HubSpot, and Salesforce Marketing Cloud Intelligence handle attribution and CRM-native reporting. Synter leads the list because it closes the gap every other tool leaves open. Its AI Agents act on what the data shows inside the same interface, so analysis and execution stop being two separate steps.
1. Synter — Best for Analysis-to-Action in One Loop
Campaign IDE where reporting and execution share one interface, across 20+ ad platforms.
Synter calls itself a Campaign IDE, not a reporting tool, and the distinction changes how your day works. Every other tool on this list hands you a dashboard and then leaves you to open a second window to act on what you found. Synter pulls performance from 20+ ad platforms through direct API connections and lets its AI Agents pause, shift, and launch inside the same interface where you read the numbers.
The reporting side covers 14 named ad platforms: Google Ads, Meta, LinkedIn, TikTok, Reddit, Pinterest, Snapchat, Microsoft Ads, X Ads, Amazon DSP, Taboola, Spotify Ads, Trade Desk, and StackAdapt (cross-channel guide). You build reports by typing a natural language prompt instead of configuring connectors or scheduling syncs. Data refreshes on demand, so a question you ask at 2pm reflects spend from 2pm.
The get_attribution tool pulls platform-reported conversions alongside GA4-attributed ones in a single report. When Meta claims 100 conversions and GA4 shows 40, you see a 2.5x inflation factor instead of trusting the platform's own scorecard. Synter reads deal stage and opportunity value from HubSpot, Salesforce, and Attio, then weights budget toward campaigns producing real pipeline rather than cheap form fills (CRM-integrated ad platforms).
Quick Overview
- Campaign IDE where reporting and execution share one interface
- 20+ ad platforms via direct API, including Google, Meta, LinkedIn, TikTok, Reddit, Amazon DSP, and Trade Desk
- Natural language prompts replace dashboard builds and connector setup
- AI Agents execute budget shifts, pauses, and creative launches on findings
Best For
Demand gen teams who need to act on what the data shows without switching tools. If your week dies in the gap between spotting a problem and fixing it across three platforms, Synter collapses that gap into one prompt. Teams running CRM-tied budget decisions across Google, Meta, and LinkedIn get the most value.
Pros
- On-demand data refresh with no batch delays
- The get_attribution tool surfaces per-platform inflation factors against GA4
- CRM deal-stage data from HubSpot, Salesforce, and Attio informs budget allocation
- Conversion sync pushes closed-won events to Google and Meta every 6 hours, keeping Smart Bidding fed with revenue signals
- AI Agents execute pauses, budget shifts, and creative launches in the same session
- Outputs formatted reports to Google Sheets and Google Docs for stakeholders
- GA4, Google Search Console, and PostHog reporting free on every tier
Cons
- No managed data warehouse and no Snowflake or BigQuery export, so heavy data teams who want raw tables elsewhere will look at ETL tools instead
- White-label output limited to Google Docs and Sheets rather than branded dashboards
Pricing
Full cross-platform reporting across all 20+ ad platforms starts at $199 per month (best reporting tools). GA4, Google Search Console, and PostHog reporting stay free for all users, including the free tier, with no credits required. You connect GA4 through OAuth in the settings panel, which means a team can run analytics reporting at zero cost before paying for ad platform coverage.
2. Improvado — Best for Enterprise Data Governance at Scale
Improvado runs the deepest data infrastructure in this guide. The platform pulls from 1,000+ pre-built data sources including Google Ads, Meta, LinkedIn, TikTok, Salesforce, and HubSpot, then standardizes everything into 46,000+ marketing metrics and dimensions. SoftwareOne reported 3x ROI and a 90% cut in manual reporting time after deploying it.
The gap against Synter is execution. Improvado's AI Agent answers natural-language queries and monitors campaign health, but it stops at the insight. You still open Google Ads or LinkedIn in a separate tab to pause a campaign or move budget. Synter's AI Agents make those changes in the same interface where the data lives.
Quick Overview
- 1,000+ pre-built data source connectors across ad platforms and CRMs
- 46,000+ marketing metrics and dimensions, standardized into one schema
- SOC 2, HIPAA, and GDPR certified for regulated enterprise teams
- AI Agent answers insight queries but does not execute ad platform changes
Best For
Pick Improvado when you manage 15 to 100+ data sources and answer to a compliance or data-governance mandate. The platform suits enterprises and agencies with multi-tenant workspaces and a $50K+ annual budget. Teams below 50 sources will overpay for capacity they never touch.
Pros
- The Marketing Cloud Data Model ships pre-built cross-channel attribution and paid media reporting, accessible through a no-code interface or full SQL.
- The Marketing Data Governance module runs 250+ validation rules that watch budget caps, naming conventions, and UTM parameters as data arrives.
- Improvado preserves two years of historical data even when an ad platform changes its schema, so your trend reports survive API renames.
- A managed warehouse comes included, and the platform also connects to Snowflake, BigQuery, and Redshift if you run your own.
Cons
- Custom pricing puts Improvado out of reach below a $50K annual budget, and the row-based tiers reward heavy data volume, not small teams.
- The AI Agent surfaces insights only. No Autonomous AI Execution means every budget shift or pause happens in a separate ad platform tab.
- Enterprise deployments across 100+ sources take 4 to 6 months to reach full proficiency.
Pricing
Pricing is custom across three tiers. Growth covers up to 200M rows per year, Professional up to 500M, and Enterprise runs unlimited. All plans bundle professional services, onboarding, a dedicated CSM, and full connector access. Contact sales for a quote.
3. Funnel.io — Best No-Code Data Hub for Mid-Market Teams
Funnel.io solves the harmonization problem for marketing teams that have no data engineer to lean on. The platform pulls from 500+ data sources and runs everything through a built-in Data Hub that normalizes naming, currency, and dates before the data leaves the system. You get clean, query-ready output without writing transformation logic yourself.
Quick Overview
- 500+ data source connections with no-code setup
- Built-in Data Hub normalizes naming conventions, currency, and date alignment
- Scheduled refreshes as frequent as every hour; setup runs 1 to 2 weeks
- Pushes data back to Google Ads and Facebook Ads for closed-loop use
Best For
Funnel fits mid-market marketing teams that need fast data harmonization but have no data engineering resources to build pipelines in-house. If your team spends hours reconciling currency and naming across platforms before any report runs, the Data Hub removes that work. It is not the right pick if you need attribution or campaign optimization baked in.
Pros
- No data engineering required to get connected and running
- Normalized data exports cleanly to BigQuery, Snowflake, Looker, and Tableau
- Data activation pushes transformed data back to ad platforms for optimization
Cons
Funnel Measure, the attribution capability Funnel acquired through Adtriba, remains described as not yet ready for complex marketing decisions as of 2026. The platform ships no dashboards of its own, so you need a separate BI tool to visualize anything. Funnel also stops at the data layer. It cannot pause campaigns, shift budget, or run AI Agents on what the numbers show, which leaves analysis and action in two different places.
Pricing
Funnel starts at $400 per month and includes a 14-day free trial. The entry price sits well above spreadsheet-first tools, reflecting the managed storage and normalization you get in return.
4. Supermetrics — Best for Spreadsheet-Based Reporting on a Small Team
Supermetrics pulls ad and analytics data straight into the spreadsheet or dashboard you already use. It connects 150 to 170-plus platforms and drops the data into Google Sheets, Looker Studio, or Power BI. There is no central warehouse and no transformation layer of its own, so you shape the data inside whatever destination you point it at.
Quick Overview
- 150 to 170+ connectors to major ad and analytics platforms
- Pulls directly to Google Sheets, Looker Studio, and Power BI
- No centralized data storage; you transform data in the destination tool
- Daily batch refresh at 2 AM UTC; 14-day free trial
Best For
Pick Supermetrics if you run a team of fewer than five people, pull from under 50 sources, and live in spreadsheets. It suits a startup or lean marketing function that wants quick reporting without engineering support. At enterprise scale it falls apart, and the Improvado team flags it as not recommended past 50 sources.
Pros
- Lowest entry price of any ETL tool in this guide
- Setup runs 1 to 3 days, not weeks
- Broad BI destination support across Sheets, Looker Studio, and Power BI
Cons
Supermetrics caps each pull at 90 days of history, so multi-quarter B2B reporting gets painful fast. Schema changes break your queries. For example, when Facebook's API v19.0 renamed 18 metrics, users had to remap queries by hand. You get no governance, no attribution, and no Autonomous AI Execution. Supermetrics moves data and stops there.
Pricing
Plans start at $37 per month with a 14-day free trial. That price makes it the cheapest way to automate spreadsheet reporting, provided you stay inside its source and history limits.
5. Adverity — Best for Multi-Region Enterprise Data Integration
Adverity earns its place when your marketing data spans regions that most platforms ignore. The platform connects 600+ data sources, including Yandex.Direct, Baidu Ads, and a long tail of European platforms that Improvado and Funnel often skip. An AI transformation engine maps and normalizes incoming data so your team spends less time reconciling formats across markets.
Quick Overview
- 600+ connectors including Yandex.Direct, Baidu Ads, and regional European platforms
- AI transformation engine automates mapping and normalization
- ISO 27001, SOC 2 Type II, and GDPR certified
- No built-in dashboards; no attribution or campaign execution layer
Best For
Pick Adverity if you run a large enterprise or agency holding company managing multi-region, multi-brand data with strict compliance demands. The certified stack and regional coverage justify the cost only at that scale.
Pros
- Broadest regional platform coverage of any tool in this list
- Certified compliance stack pairing ISO 27001 with SOC 2 Type II
Cons
Adverity costs $80K to $250K annually, and post-contract connector fees, overages, and mandatory professional services add 20 to 40% to year-one total cost of ownership. Performance suffers at scale. 38% of G2 reviewers managing more than 50 million rows per month report query slowdowns past 30 seconds at peak load. Your team also faces a 4 to 6 month median time-to-proficiency, and Adverity gives you no attribution model and no way to act on what the data shows. You still need a separate BI tool to see anything.
Pricing
Adverity uses custom quotes, with reported costs running $80K to $250K per year. Contact sales for a figure tied to your source count and data volume. Factor in the 20 to 40% TCO premium when you budget year one.
6. Looker Studio — Best Free BI Layer for Small Budgets
Looker Studio gives you free dashboards, but it does not pull ad platform data on its own. Google built it as a visualization layer, so you connect it to a paid ETL tool that handles extraction. Improvado, Funnel, Supermetrics, and Fivetran all list Looker Studio as a supported output destination.
Quick Overview
- Free BI and dashboard visualization layer from Google
- Requires a separate ETL or connector tool for ad platform data
- Supported output destination for Improvado, Funnel, Supermetrics, and Fivetran
Best For
Pick Looker Studio when you already run Supermetrics or Funnel and want a free place to visualize the data those tools extract.
Pros
- Free to use, with native Google ecosystem integration
- Every major ETL platform supports it as an output destination
Cons
- No standalone ad data connectors at B2B scale without a paid ETL tool
- No attribution, no campaign execution, and no native CRM integration
Pricing
Free. Budget separately for the ETL tool that feeds it.
7. Dreamdata — Best for B2B Account-Level Revenue Attribution
Dreamdata answers a question most reporting tools ignore. It tells you which marketing touchpoints actually moved a deal forward when six people from one account each clicked a different ad over a nine-month cycle. The platform stitches those touchpoints together at the account level, then ties them to closed-won revenue inside your CRM (Dreamdata integrates with Salesforce, HubSpot, and Pipedrive). Where it stops is execution. Dreamdata shows you what happened. It does not pause the campaign, shift the budget, or sync an audience back to an ad platform.
Quick Overview
- B2B revenue attribution platform built around account-level touchpoint mapping
- Integrates directly with Salesforce, HubSpot, and Pipedrive
- Maps every touchpoint across all contacts inside a single buying group
- Attribution-only, with no campaign execution and no audience sync
Best For
Pick Dreamdata when you sell to buying committees and need multi-touch attribution credited at the account level, not the lead level. B2B revenue teams who already trust their CRM as the source of pipeline truth get the clearest picture here.
Pros
The account-level model is the real draw. Dreamdata assigns credit across every contact in a buying group rather than crowning a single lead, which matches how B2B deals actually close. Its CRM integrations run deep, pulling deal-stage and revenue data straight from Salesforce, HubSpot, and Pipedrive so attribution reports reflect won revenue rather than form fills.
Cons
Dreamdata reads your data and stops there. It does not execute campaign changes, and it does not push audiences to Google, Meta, or LinkedIn, so you still need a separate tool to act on what the attribution reveals. At $999 a month, that reporting-only scope is a steep entry price for insight you then have to act on elsewhere.
Pricing
From $999 per month.
8. HubSpot Ads (Native) — Best for Teams Already on HubSpot
HubSpot Ads lives inside HubSpot CRM and turns the platform you already use for contacts and deals into a basic ad reporting layer. It connects Google Ads, Meta Ads, and LinkedIn Ads, then ties every click back to a contact and the deal it eventually creates. For a HubSpot-native team, that closed-loop view comes at no extra cost on the right tier. It is a sensible starting point, not a full analytics stack.
Quick Overview
HubSpot Ads manages ad campaigns and reports attribution directly inside the CRM. It covers Google Ads, Meta Ads, and LinkedIn Ads, with no support for other platforms. Attribution links each ad interaction to HubSpot contact and deal records, so you see which campaigns produce pipeline. You get this on Marketing Hub Professional and Enterprise.
Best For
Pick HubSpot Ads if your team already runs on HubSpot and wants closed-loop reporting on three core ad platforms without buying a separate tool. It suits smaller demand gen teams that value one login over broader platform coverage.
Pros
The reporting costs you nothing extra because it ships with Marketing Hub. You also get five attribution models tied to deal records, including first-touch, last-touch, linear, time-decay, and U-shaped (cometly.com). That covers most early-stage reporting needs.
Cons
HubSpot Ads ignores Microsoft Ads, TikTok, Reddit, and Amazon, so any spend there stays invisible inside the CRM. The tool reports and manages within HubSpot's own ad features, with no Autonomous AI Execution and no cross-platform audience sync at the scale a multi-platform demand gen program needs.
Pricing
HubSpot Ads is included with HubSpot Marketing Hub Professional and Enterprise. You pay for the Hub tier, not for the ad reporting on top of it.
9. Salesforce Marketing Cloud Intelligence (Datorama) — Best for Salesforce-Native Enterprises
Datorama, now sold as Salesforce Marketing Cloud Intelligence, earns its place if you already run your revenue motion inside Salesforce. The platform pulls from 170+ sources through TotalConnect, then joins that spend data directly to Salesforce CRM objects so you can trace a click through to a closed-won deal. Einstein AI layers cross-channel attribution and insight queries on top, and the connector engine auto-maps platform metric renames so a Facebook API schema change does not break your reports overnight.
Quick Overview
- 170+ connectors via TotalConnect with deep native Salesforce CRM integration
- Cross-channel attribution backed by Einstein AI insights
- SOC 2 certified; auto-maps platform metric renames without manual rework
- Custom pricing; built for teams spending $10K or more per month
Best For
Salesforce-native enterprises that want closed-loop ad-to-revenue reporting fit Datorama best. You need a Salesforce ecosystem and ideally a data engineering team to get full value. Without that foundation, a standalone platform delivers the same reporting for less effort.
Pros
- Connects directly to Salesforce Leads, Contacts, and Opportunities for true closed-loop reporting
- Handles ad platform API schema changes automatically, so your dashboards stay intact
Cons
- Custom pricing puts it out of reach below an enterprise budget
- Datorama only justifies its cost once you are committed to the Salesforce ecosystem
- Like every tool above, it reports findings but does not execute campaign changes inside ad accounts
Pricing
- Custom; contact sales
- Recommended for teams with a $10K+ monthly media budget
Marketing Analytics Software Comparison Table
| Tool | Category | Platforms/Sources | CRM Integration | Attribution | AI Execution | Starting Price |
|---|---|---|---|---|---|---|
| Synter | AI Agent + Campaign IDE | 20+ ad platforms, direct API | HubSpot, Salesforce, Attio | Cross-platform, inflation factors | Yes, Autonomous AI Execution | From $199/mo |
| Improvado | ETL + intelligence | 1,000+ sources | HubSpot, Salesforce | MCDM pre-built models | No, insights only | Contact sales |
| Funnel.io | No-code data hub | 500+ sources | Via export | Funnel Measure (early stage) | No | From $400/mo |
| Supermetrics | Data extraction | 150 to 170+ connectors | Limited | No | No | From $37/mo |
| Adverity | Data integration | 600+ connectors | Via export | No | No | $80K to $250K/yr |
| Looker Studio | BI dashboard layer | Connector-dependent | No | No | No | Free |
| Dreamdata | Revenue attribution | CRM-sourced | Salesforce, HubSpot, Pipedrive | Account-level multi-touch | No | From $999/mo |
| HubSpot Ads | CRM-native | Google, Meta, LinkedIn | Native HubSpot | 5 models, deal-tied | No | Included with Marketing Hub |
| Salesforce MCI (Datorama) | Enterprise platform | 170+ connectors | Native Salesforce | Cross-channel, Einstein | No | Contact sales |
How to Choose the Right B2B Marketing Analytics Tool
Start with your source count, because it eliminates most of the list immediately. If you run fewer than 50 sources and report from spreadsheets, Supermetrics covers you from $37 a month. Once you push past 100 sources or need governance and validation rules, Improvado earns its custom enterprise quote.
Budget draws the next line. Adverity starts around $80K a year and climbs to $250K with hidden connector and services fees. Synter runs from $199 a month, which keeps full cross-platform reporting within reach of a mid-market team. Dreamdata sits in the middle at $999 a month for account-level attribution.
Decide whether you need to act or only to see. Improvado, Funnel, Supermetrics, and Adverity all stop at insight. You read the dashboard, then switch to Google Ads or LinkedIn to make the change. Synter's AI Agents pause underperformers and shift budget inside the same interface, so analysis and action stay in one loop.
Your CRM narrows the field again. HubSpot Ads suits HubSpot-native teams, Datorama suits Salesforce shops, and Synter stays CRM-agnostic across HubSpot, Salesforce, and Attio.
Then match attribution to your ambition. Only 8% of marketers use advanced buyer and account intelligence models today. Last-touch reporting is common, account-level multi-touch is rarer, and pipeline-tied budget allocation is rarest of all.
Why Synter Closes the Gap Between Analytics and Revenue
Every other tool in this guide hands you a finding and walks away. Improvado tells you Meta CPA spiked. Dreamdata shows you which platforms drove pipeline. You then open a second tool to pause the ad set or shift the budget, and the gap between knowing and acting is where most demand gen teams lose days.
Synter collapses that gap. When the AI Agent surfaces a problem, you act on it in the same interface. Pause an underperforming ad set, move spend to a platform pulling real pipeline, or launch a new creative variant without leaving the report.
The execution stays tied to revenue, not vanity metrics. Synter's AI Agents read deal stage and opportunity value from HubSpot, Salesforce, and Attio, then reallocate budget toward campaigns generating actual pipeline. Conversion sync pushes closed-won events back to Google and Meta every six hours, so Smart Bidding optimizes on revenue signals instead of form fills. The get_attribution tool exposes per-platform inflation factors against GA4, so the budget shifts rest on de-duplicated truth.
Analysis-to-action runs as one loop, not two tools and a handoff.
How We Evaluated These Marketing Analytics Tools
We ranked every tool on the criteria that decide whether a B2B team can connect ad spend to revenue and act on what it finds.
- Platform coverage. How many ad platforms each tool reaches through direct API connections, and whether those include LinkedIn, Meta, Google, and beyond.
- CRM integration. How deeply the tool reads Salesforce and HubSpot deal-stage data, not just contact records.
- Attribution sophistication. Whether the tool supports last-touch only or extends to account-level multi-touch across a buying group.
- Execution capability. Whether the tool only reports findings or acts on them inside live ad accounts.
- Pricing accessibility. How the entry price serves startup, mid-market, and enterprise budgets, from $37 a month to $250K a year.
- Compliance. Whether the tool carries SOC 2, HIPAA, or GDPR certifications that enterprise buyers require.
- Time-to-value. Whether setup takes days, weeks, or the four-to-six months that enterprise ETL deployments often demand.
FAQ
What is B2B marketing analytics software?
B2B marketing analytics software unifies ad spend and revenue data into a single view. It connects ad platform performance to CRM pipeline records so you can trace clicks through to closed deals. Synter does this across 20+ platforms via direct API connections.
How do I choose the right marketing analytics tool?
Match your source count and budget to the right tool tier. Decide whether you need reporting-only output or analysis-to-action execution that changes campaigns. Synter fits teams that need both in one interface.
Is Synter better than Improvado?
Improvado excels at enterprise data governance and 1,000+ source connectors. Synter adds Autonomous AI Execution that acts on findings, which Improvado does not. Choose Synter if execution matters most. Choose Improvado if governance matters most.
What is a marketing intelligence platform?
A marketing intelligence platform unifies cross-platform ad data into one reporting layer. It links spend data to CRM pipeline and revenue outcomes. Synter adds AI Agents that act on the intelligence directly inside the same interface.
How does marketing analytics relate to revenue attribution?
Marketing analytics aggregates performance while attribution assigns credit to specific touchpoints. B2B attribution requires CRM deal-stage data to close the loop on revenue. Synter combines both and executes budget changes on attribution findings.
How quickly can I see results from marketing analytics software?
Supermetrics and Funnel set up in days and produce insight in the first week. Improvado and Adverity take 4 to 6 months for enterprise deployment. Synter refreshes data on demand and lets AI Agents act the same session.
What is the difference between an ETL reporting tool and an attribution platform?
ETL tools move and normalize data while attribution platforms assign conversion credit. Most ETL tools require a separate attribution layer on top. Synter combines reporting, attribution, and execution in one tool.
What are the best alternatives to Improvado for mid-market teams?
Funnel.io offers a no-code data hub from $400/month. Supermetrics serves spreadsheet-focused teams from $37/month. Synter pairs analytics with Autonomous AI Execution from $199/month.