Best end-to-end analytics tools in 2026: ranking and comparison

Monday morning meeting. The ad account shows 140 leads for the week, Google Analytics counted 96 conversions, and the CRM has only 61 deals. The director asks a simple question: which channel paid off? The marketer replies: “I’ll have a spreadsheet by Wednesday.” (The example is made up.)

End-to-end analytics exists to answer exactly that question: it links every hryvnia spent on ads to the hryvnia that ended up in the till. We reviewed 8 end-to-end analytics tools available in Ukraine in 2026 and compared them on price, attribution, CRM integration and phone calls.

Notice that none of the three reports includes phone calls, and without them even the best end-to-end analytics tools get the numbers wrong.

• End-to-end analytics connects ad spend to revenue in your CRM and shows ROMI for every channel and campaign.
• The best end-to-end analytics is the one that pulls deals from your CRM and counts phone calls.
• With no budget, start with the free GA4 and Data Studio, but expect to build the report by hand.
• The cheapest paid option is Windsor.ai, from $19 a month.
• Ruler Analytics is the only tool in the ranking with built-in call tracking.
• Funnel, Improvado and OWOX are built for teams with an analyst, while HubSpot and Dreamdata are designed mainly for B2B.
• Without call tracking, any tool undervalues the channels that bring in customers who call.

End-to-end analytics ties every sale to the ad that brought it in.

The tool pulls costs from ad accounts, visits from the website, calls from the phone system, and deals and revenue from the CRM. It then matches everything to each customer, so the report shows something like: the campaign spent UAH 12,000 and brought in 3 deals worth UAH 90,000.

Why does a business need this? To stop optimizing ads for cheap leads. A cheap lead that never buys costs more than an expensive one that does. Without end-to-end analytics you can’t see the difference: the ad account counts conversions, the CRM counts money, and someone stitches them together in Excel.

What end-to-end analytics tools give you in practice:

• ROMI and ROAS by channel, campaign and sometimes keyword.
• CPL and customer acquisition cost in real money, not in ad-platform “conversions”.
• The sources that bring in repeat buyers.
• A comparison of attribution models: how a channel’s contribution changes under first-click, last-click or data-driven.

A common story: you open the first ranking of end-to-end analytics tools you find, pick the top one, and two months later discover it can’t see the deals in your CRM. To avoid that, check eight things.

1. Data sources. Make sure the tool connects to the platforms you actually use: ad accounts (Google Ads, Meta, TikTok), GA4, your e-commerce platform and your CRM. Every vendor publishes its integration list, so check it before the demo.
2. CRM integration. The tool needs to pull deal stages and revenue, otherwise you’ll be looking at leads instead of money again.
3. Attribution models. You need at least first-click, last-click and linear. Data-driven or Markov models spread the credit across the whole journey.
4. Phone calls. Built-in call tracking, an integration with a third-party one, or nothing. If your customers call, this is the deciding factor.
5. Dashboards. Built-in reports or an export to Data Studio and Power BI. The export is more flexible, but someone has to build the report.
6. Learning curve. Can a marketer handle it in the interface, or do you need an analyst who knows SQL?
7. Pricing model. Whether you pay per source, visit, contact or user determines what the tool will cost after a year of growth.
8. Language and support. None of the tools on this list has a Ukrainian interface, so budget time for training.

Even the most powerful tool will produce an incomplete report without call and deal data. The report still looks convincing, and budget decisions get made from it.

Eight tools made it into our ranking of end-to-end analytics tools. We used three selection rules.

• The tool links ad spend to revenue. We left out pure web analytics and BI tools.
• It can be used from Ukraine: sign-up and payment go directly through the vendor.
• Russian-origin services are excluded.

We did not include IP telephony services with call tracking. UniTalk works in that category itself, and ranking ourselves next to competitors wouldn’t be fair.

Each tool’s position depends on two things: whether it sees the whole customer journey from ad to lead to call to deal, and how much it costs a small or mid-sized business to get started. We checked pricing on the official websites on October 27, 2026. Prices are in the vendor’s currency, excluding VAT.

This review is based on vendor documentation. We did not test every tool on the same project, so make the final call after a demo on your own data.

Features:

• Sources: Google Ads, Microsoft Ads, Meta, TikTok, LinkedIn, Google Analytics, Shopify, WooCommerce, forms and chats.
• Attribution models: first-click, last-click, linear, time decay and position-based; data-driven and view-through attribution are available from the Medium plan.
• Call tracking: built-in dynamic tracking, or data from third-party providers.
• CRM: Salesforce, HubSpot, Dynamics 365, Pipedrive, Zoho and monday.com; the tool pulls deals, stages and revenue.
• Built-in dashboards, plus export to Data Studio, Power BI, Tableau and BigQuery.

Best for: businesses that get phone calls and have a long sales cycle, where marketing reports on revenue rather than leads.

Limitations: a high entry price (from £299 a month), pricing that grows with site traffic, and an English-only interface.

Pricing (official website, monthly / billed annually):

• Small, up to 10,000 visits a month: from £299 / £269 a month.
• Medium, up to 50,000 visits: from £499 / £449.
• Large, up to 100,000 visits: from £999 / £899.
• Advanced, from 100,000 visits, with MMM and an AI agent: from £1,499 / £1,349.
• No free plan or trial; you start with a demo. The final price depends on your traffic.

Features:

• Connectors for ad accounts, GA4, CRMs (Salesforce, HubSpot and others) and online stores, all available on every plan.
• Attribution models: first-click, last-click, linear and an algorithmic Markov model.
• No built-in call tracking: calls reach the report only through a CRM or an analytics system.
• Dashboard templates for Data Studio and Power BI, plus data access from Claude and ChatGPT via MCP.
• Unlimited users on paid plans.

Best for: small businesses and agencies that need affordable attribution and combined reports on ads and sales.

Limitations: no built-in call tracking, the end-to-end report is assembled in a BI tool, and the number of sources depends on your plan.

Pricing (official website, monthly / billed annually):

• Free: a 30-day trial with 10 sources, then Forever Free with 1 source.
• Basic: $23 / $19 a month, 3 sources.
• Standard: $118 / $99, 7 sources, hourly sync.
• Plus: $299 / $249, 10 sources.
• Professional: $598 / $499, 14 sources.
• Enterprise: on request.

Features:

• Sources: website, app and Google Ads; costs from other platforms and offline events are loaded by import or via the Measurement Protocol.
• Attribution models: just three (data-driven, paid and organic last click, and Google paid channels last click).
• No built-in call tracking: calls arrive as events from a third-party call tracking tool.
• Dashboards live in Data Studio, and connectors to non-Google sources are often paid.
• No direct CRM connection; deals are sent via the Measurement Protocol or imported.

Best for: small businesses taking their first steps that are willing to spend time on setup.

Limitations: no out-of-the-box CRM connection and only three attribution models, so the end-to-end report has to be built by hand.

Pricing:

• Google Analytics 4: free; Google Analytics 360: on request.
• Data Studio: free.
• Data Studio Pro: $9 a month per user per Google Cloud project.

Features:

• Connectors for Meta, Google and TikTok Ads, Shopify and other sources; works with data in your own warehouse, including BigQuery.
• Metrics are defined once and reused in Google Sheets, Excel and Data Studio without discrepancies.
• Attribution and end-to-end reports are built on top of the data marts from ready-made templates.
• No built-in call tracking.
• The free, open-source Community edition runs in your own warehouse.

Best for: companies with a data warehouse and an analyst that want one version of the numbers for the whole team.

Limitations: you need someone who owns the data and the warehouse, and cloud plans start at $295 a month.

Pricing (official website):

• Community, self-managed: free, source code on GitHub.
• Individual, cloud: $295 a month, up to 100 AI answers; 30 free credits to get started.
• Team: $790 a month, up to 5 people.
• Scale: on request.
• Agency, self-managed: $500 a month; Enterprise: custom contract.

Features:

• Sources: forms, landing pages, email, chat and ad accounts.
• Campaign reports and custom dashboards are available from the Professional plan.
• Attribution models: multi-touch revenue attribution is only available on Enterprise.
• No built-in call tracking: calls reach the contact record through telephony integrations.

Best for: B2B companies that already sell through HubSpot CRM and want to see marketing’s contribution to revenue.

Limitations: multi-touch revenue attribution is only on Enterprise at $3,600 a month, plus mandatory onboarding for $7,000.

Pricing (HubSpot data):

• Free: $0, up to 2 users.
• Starter: $9 per seat a month, billed annually.
• Professional: $800 a month billed annually, 3 seats, $3,000 onboarding.
• Enterprise: $3,600 a month, 5 seats, $7,000 onboarding.
• Free trial: 14 days.

Features:

• Connectors: 117 on Starter, 579 on Business, 590 on Enterprise.
• Attribution models: data-driven MTA and MMM in Funnel Measure.
• No built-in call tracking.
• Funnel and Data Studio dashboards; Power BI, Tableau and BigQuery from the Business plan.
• Funnel AI and MCP for working with your data in Claude and ChatGPT.

Best for: mid-sized and large companies running a dozen ad channels with their own analytics team.

Limitations: no free plan, and attribution is sold as a separate module priced by ad budget.

Pricing (official website, billed annually):

• Starter: from $300 a month, 117 connectors, unlimited users.
• Business: from $600 a month, 579 connectors, unlimited users.
• Enterprise: on request.
• Funnel Measure: an add-on for Business and Enterprise, priced by ad budget.
• No free plan, but there is a 30-day free trial.

Features:

• Hundreds of connectors for ad, analytics and CRM platforms, plus its own warehouse.
• Data transformation and quality control (Marketing Data Governance).
• Attribution models: MTA, MMM and incrementality testing come in the paid Advanced Intelligence add-on (from $20,000 a year) for the Growth and Enterprise plans.
• An AI agent and MCP access to your data.
• No built-in call tracking.

Best for: large brands and agencies with big ad budgets.

Limitations: core plans start at $20,000 a year, attribution is sold separately, and it’s overkill for a small business.

Pricing (official website):

• MCP Only: $100 a month, 2 million rows a year, daily sync.
• Starter: from $20,000 a year, 20 million rows a year, daily sync.
• Growth: from $41,700 a year, 60 to 200 million rows a year, sync up to twice a day.
• Enterprise: on request, up to 1 billion rows a year.

Features:

• Sources: website (tracking with and without cookies), ad accounts, CRM.
• Attribution models: multi-touch and AI-based data-driven, with custom models in the paid package.
• Identification of companies that visited your website.
• No built-in call tracking.
• B2B industry benchmarks.

Best for: B2B companies with long sales cycles where a group of people makes the buying decision.

Limitations: the free plan has no revenue attribution, and the paid package is sold on request only.

Pricing (official website):

• Free: $0 a month, B2B web analytics, company identification and benchmarks; up to 5 users and 2 months of history.
• Advanced (attribution and activation): on request; a guided trial is available.

Here’s a typical case: a customer sees an ad, visits the website and picks up the phone. Google Analytics records a visit with no conversion, the CRM gets a deal with no source, and the ad account never learns about the call. The campaign that actually produced the sale looks like it’s losing money.

Calls are often the hottest leads, too. According to Invoca, which analyzed more than 60 million calls, 37% of phone leads convert during the call itself. If calls aren’t tied to ads, it’s easy to cut the budget of the channel that’s actually selling.

Call tracking fills this gap. It swaps the phone number on your website and in your ads and identifies where each call came from.

• Static call tracking. Each channel gets its own number, which also works offline: billboards, radio, TV.
• Dynamic call tracking. Each visitor sees a number from a pool, so the call is tied to the campaign, ad and keyword.

Only Ruler Analytics has built-in call tracking. For the other end-to-end analytics tools, call data has to come from outside:

1. Call tracking identifies the ad source of the call.
2. The call lands in the CRM as a lead or deal tagged with its source.
3. Call tracking sends the call to GA4 as an event, and the analytics tool picks it up from there.
4. The tool combines ad spend, calls and CRM revenue in one report.

UniTalk call tracking works in static, dynamic and combined modes and sends calls to GA4 and your CRM through ready-made integrations with HubSpot, Pipedrive, Salesforce, Zoho CRM and others. Plans start at $65 a month, with a free 14-day trial and no credit card required.

Not sure how many sales you’re losing in phone calls? We’ll show you on your own data how to connect call tracking to your end-to-end analytics.