ChatGPT answers, unedited

The “best” software depends heavily on your business model (ecommerce vs. B2B vs. lead generation), sales cycle length, and ad spend. The key category you’re looking for is usually called marketing attribution or revenue attribution: tools that connect ad clicks → website activity → leads/purchases → actual revenue. Usermaven

Here are strong options by use case:

My typical shortlist

• Selling products online: start with Triple Whale or Northbeam. G2 Learning Hub About Martech
• Selling leads/services: look at HubSpot + CallRail or Ruler Analytics. G2 Learning Hub Capterra
• B2B SaaS: look at Dreamdata, HockeyStack, or Marketo Measure. About Martech Attribute IQ
• Heavy Google Ads + Meta Ads optimization: consider a dedicated attribution layer rather than relying only on the ad platforms’ dashboards, since each platform reports conversions using its own attribution methods. Usermaven

Before choosing, make sure the tool can capture:

1. UTM parameters (campaign, ad set, keyword, creative)
2. Click IDs (Google gclid, Meta click identifiers, etc.)
3. CRM or ecommerce revenue
4. Offline conversions (sales calls, signed contracts, invoices)
5. First-touch, last-touch, and multi-touch attribution

If you tell me:

• your business type (ecommerce, SaaS, agency, local service, etc.),
• monthly ad spend,
• platforms (Google, Meta, LinkedIn, TikTok, etc.),
• and whether conversions are online purchases or sales calls/demo forms,

I can narrow this to the 2–3 tools that fit best.

If your goal is specifically “which Google/Meta/etc. ad clicks eventually became actual revenue?”, you want a revenue-attribution platform, not just an ad dashboard.

My shortlist

If I had to narrow it down

For a lead-generation business: I'd investigate Ruler Analytics first. Its workflow is unusually close to what you're describing: visitor → ad/campaign/keyword → lead → CRM → closed revenue. Ruler explicitly supports Google Ads, Meta, Salesforce, HubSpot, Shopify, Stripe and numerous other systems. Ruler Analytics Ruler Analytics

ruleranalytics.com

For a B2B company already using HubSpot: I'd look seriously at HubSpot's attribution reporting rather than adding another platform. HubSpot can attribute marketing interactions to contacts, deals and—on Enterprise—won revenue. HubSpot Knowledge Base

hubspot.com

For e-commerce: I'd lean toward an e-commerce-specific attribution platform rather than a CRM-first product.

The important distinction

You don't really want to measure:

Ad click → website conversion

You want:

Ad click → visitor → lead/customer → purchase/deal → actual revenue

For example:

Google Ads → “emergency plumbing” → landing page → phone call → $3,200 job

or

Meta ad → lead form → sales rep → closed deal → $18,000 revenue

The software should preserve the original campaign/source information and associate it with the eventual monetary outcome. Ruler, for example, explicitly describes sending CRM revenue alongside source, campaign, keyword and landing-page information and then attributing revenue back to those marketing touchpoints. Ruler Analytics Ruler Documentation

If you tell me (1) e-commerce vs. lead generation, (2) your CRM, (3) Google/Meta/TikTok/etc., and (4) approximate monthly ad spend, I can narrow this to 2–3 options and explain exactly how I'd set up the tracking.

If your goal is specifically “which Google/Meta/etc. ad click eventually produced actual revenue?”, I’d look at dedicated attribution/revenue-tracking software rather than relying on ad-platform ROAS alone.

Shortlist

Recent 2026 comparisons similarly separate the market largely into ecommerce tools such as Triple Whale/Northbeam and B2B revenue-attribution tools such as Dreamdata/HockeyStack. Nvecta Tajo

The important part: track revenue, not just conversions

The setup I'd want is roughly:

Ad click → landing page → lead/customer ID → CRM/order → actual revenue

For example:

Facebook ad → click ID/UTMs → demo request → Salesforce opportunity → $18,000 closed deal

Then your reporting can answer:

• Which campaign generated the $18k?
• Which ad/keyword generated the customer?
• Cost per actual dollar of revenue, not merely cost per lead
• Revenue and gross profit by channel
• Time from click → purchase
• First-touch vs last-touch vs multi-touch attribution

For Google specifically, Google's current Enhanced Conversions for Leads can send first-party information back to Google and connect offline outcomes such as contracts or sales to the originating ad interaction. Google says this can improve measurement accuracy versus conventional offline conversion imports. Google Help Google Help

What I'd choose based on your business

• Shopify/ecommerce: I'd investigate Triple Whale and Northbeam.
• B2B SaaS with Salesforce/HubSpot and sales reps: Dreamdata or HockeyStack.
• Services/high-ticket leads where phone calls matter: Ruler Analytics is worth looking at.
• Already deeply invested in HubSpot: start with HubSpot's attribution capabilities before adding another platform.
• Small business and trying to keep costs down: GA4 + Google Ads + Meta + a CRM can work surprisingly well if you implement UTMs and revenue/offline conversion imports correctly.

One caveat: no attribution platform can perfectly determine causality from clicks alone. Different platforms can legitimately report different amounts of revenue because they use different attribution windows, identity resolution, modeled conversions, and attribution models.

If you tell me (1) ecommerce vs B2B, (2) your CRM/checkout—e.g. Shopify, Stripe, Salesforce, HubSpot, etc., and (3) roughly how much you spend/month on Google + Meta, I can narrow this to 2–3 tools and explain exactly how I'd wire up the tracking.

For example:

Facebook ad → click ID/UTMs → demo request → Salesforce opportunity → $18,000 closed deal

Then your reporting can answer:

If your goal is specifically “which Google/Meta/social ad clicks ultimately produced actual revenue?”, I’d look at dedicated attribution software rather than relying on GA4 or the ad platforms’ native ROAS.

My shortlist

What I'd pick

If you're selling through a website checkout:
→ Triple Whale if you're on Shopify; Northbeam if you're at significant scale.

If you're generating leads and sales happen later:
→ Ruler Analytics is probably my first choice.

If you're B2B and have a CRM:
→ Dreamdata.

If you have high-ticket sales, phone calls, webinars, or complicated funnels:
→ HYROS.

The important distinction is that you don't merely want a tool that says “Google generated 37 conversions.” You want something that can preserve the original ad/campaign/click information and eventually answer:

Google Search → Campaign X → Ad Y → Lead → Opportunity → $18,500 closed revenue

and similarly:

Meta → Campaign A → Ad B → Lead → $0

That lets you optimize for revenue/ROAS rather than leads or platform-reported conversions. Dedicated attribution platforms specifically focus on connecting marketing interactions to revenue, rather than just reporting clicks and conversions. Usermaven nvecta.com

If you tell me (1) ecommerce vs. lead generation, (2) Shopify/WordPress/custom, (3) CRM/payment system, and (4) approximate monthly ad spend, I can narrow this to the best 2–3 options for your exact setup, including current pricing and implementation complexity.

If your goal is “which specific ad click eventually produced actual revenue?”, rather than just leads or purchases, I’d shortlist these:

A recent 2026 comparison similarly puts Triple Whale toward DTC, Northbeam toward high-spend ecommerce, and Dreamdata toward B2B pipeline attribution. Humblytics

What I'd choose

If you're B2B: Dreamdata or HubSpot.

The important capability is capturing something like:

Google/Meta ad click → landing page → lead → qualified lead → opportunity → $25,000 closed deal

rather than stopping at “this campaign generated 47 leads.”

If you're ecommerce: Triple Whale first, Northbeam if you're spending enough that more sophisticated attribution is justified.

If you're a smaller business: I'd start with GA4 + Google Ads + Meta + your CRM, and make sure you capture UTMs/click IDs all the way through the sale. Google specifically supports importing offline/CRM conversions and revenue back into Google Ads; as of June 2026, Google's Data Manager API is the primary route for new offline-conversion integrations. Google Help Google Ads Developer Blog

Meta likewise supports sending CRM/offline conversion information back through its Conversions API so advertising can optimize toward lead quality rather than merely lead volume. Meta Blueprint

One important distinction

I'd avoid choosing software simply because it says “attribution.” You want to verify that it can answer:

“This $X in revenue came from these Google/Meta clicks, campaigns, ads, and keywords.”

And ideally distinguish revenue from profit, refunds, cancellations, and recurring revenue.

If you tell me (1) B2B or ecommerce, (2) monthly ad spend, (3) Google + Meta or other channels, and (4) what CRM/payment system you use, I can narrow this to the best 2–3 options and compare their costs and implementation effort.

If your goal is specifically “which ad click ultimately produced actual revenue?”, rather than just tracking leads or platform-reported conversions, I’d shortlist these:

My recommendation

If you're selling high-ticket products/services: I'd start with HYROS. It is specifically designed to connect an initial ad click with delayed purchases, repeat purchases, subscriptions and sales that happen after multiple touchpoints. It can also feed conversion data back into Google and Meta. hyros.comhyros.ai

If you're e-commerce: I'd choose Triple Whale. Its attribution system connects touchpoints to purchases/revenue and supports multiple attribution models; it also has Meta attribution passback so Meta can optimize using your own attribution data. www.triplewhale.com

If you're B2B/SaaS: Dreamdata is probably the strongest fit. It connects marketing touches to CRM pipeline and ultimately closed-won revenue, rather than stopping at form fills. It supports cross-channel attribution and can send offline conversion/pipeline data back to advertising platforms. dreamdata.io

One important distinction

I'd avoid choosing software merely because it says it has "conversion tracking." You want something capable of answering:

Ad → click → visitor → lead → sales call/demo → customer → actual $ revenue

For example, HYROS explicitly illustrates delayed purchases and repeat revenue being attributed back to the original advertising interaction. hyros.comhyros.ai

If you tell me what you're selling (e-commerce, SaaS, agency/high-ticket service, etc.), approximate monthly ad spend, and whether you use Google Ads + Meta or Google + LinkedIn, I can narrow this to the best 2–3 options and what each will cost you.

If your goal is “which specific ad/campaign/click ultimately produced revenue?”, I’d shortlist these:

• northbeam.io — best overall for serious paid-media attribution. It tracks customer journeys across channels and supports first-touch, last-touch, linear, clicks-only, and click + view attribution. I’d favor it if you’re spending heavily across Google Search/PMax + Meta/TikTok and want a more rigorous view than the native ad platforms provide. Northbeam Documentation
• triplewhale.com — best for ecommerce/Shopify. Its first-party pixel connects interactions to orders and supports multiple attribution models, including cross-channel and view-through measurement. Triple Whale Help Center Triple Whale
• hyros.com — particularly interesting for high-ticket/lead-gen businesses. It is geared toward tying advertising interactions to downstream conversions rather than just counting leads.
• dreamdata.io — best if you sell B2B. It focuses on connecting marketing touchpoints to pipeline and closed revenue, including account-level journeys. Dreamdata
• rockerbox.com — strong enterprise/omnichannel option. Better suited when attribution extends beyond straightforward web conversions.

What I'd choose

The important distinction is that you don't really want “conversion tracking” alone. Google Ads and Meta can already tell you what they think generated conversions. The more valuable system is one that collects first-party click data and lets you compare attribution across Google Search + Meta + other channels, ideally all the way to actual revenue, not just form fills. Northbeam and Triple Whale are particularly strong here. Triple Whale Help Center Northbeam Documentation

If you tell me (1) ecommerce vs. lead generation, (2) approximate monthly ad spend, and (3) Google + Meta only or other channels too, I can narrow this to the best 2–3 options and compare pricing, setup difficulty, attribution accuracy, and what I'd use for your situation.

If your goal is specifically “which Google/Meta/social/search clicks ultimately generated actual revenue?”, you want an ad attribution / revenue attribution platform, not just Google Analytics.

My shortlist for 2026:

Recent 2026 comparisons broadly put Hyros/Cometly in the paid-media attribution category, Triple Whale/Northbeam in ecommerce, and Dreamdata/Ruler in B2B revenue attribution. AllAble Usermaven

What I'd choose

If you're selling services, SaaS, high-ticket products, or anything where a lead eventually becomes a sale:
→ Hyros or Ruler

You want the system to capture something like:

Google search click → landing page → form → CRM lead → sales call → $8,000 closed deal

rather than stopping at “Google Ads generated 37 leads.”

Hyros specifically emphasizes tracking sales that Google and Meta don't capture and feeding those conversion signals back to the ad platforms. Hyros

If you're Shopify/ecommerce:
→ Triple Whale, then consider Northbeam as spend and sophistication increase. Triple Whale is particularly Shopify-native, while Northbeam is aimed at more advanced/high-spend measurement. Humblytics

If you're B2B and revenue lives in Salesforce/HubSpot:
→ Dreamdata or Ruler

That's where the important metric isn't “ROAS based on platform-reported purchases,” but revenue/pipeline attributed to the original marketing touchpoints. AllAble Humblytics

One important distinction

I'd avoid choosing based purely on whether a tool says it has “multi-touch attribution.”

There are really three questions:

1. Which ad got the click?
2. Which marketing interactions contributed to the conversion?
3. Which campaigns ultimately generated real collected revenue?

For your question, #3 is the one I'd optimize the software choice around.

If you tell me what you sell, whether leads close online or through salespeople, your monthly ad spend, and whether you're using Google Ads + Meta + LinkedIn, I can narrow this to the 2 best options and compare their pricing/integrations.

If you're selling services, SaaS, high-ticket products, or anything where a lead eventually becomes a sale:
→ Hyros or Ruler

You want the system to capture something like:

Google search click → landing page → form → CRM lead → sales call → $8,000 closed deal

rather than stopping at “Google Ads generated 37 leads.”

Hyros specifically emphasizes tracking sales that Google and Meta don't capture and feeding those conversion signals back to the ad platforms. hyros.com

If you're Shopify/ecommerce:
→ Triple Whale, then consider Northbeam as spend and sophistication increase. Triple Whale is particularly Shopify-native, while Northbeam is aimed at more advanced/high-spend measurement. humblytics.com

If you're B2B and revenue lives in Salesforce/HubSpot:
→ Dreamdata or Ruler

That's where the important metric isn't “ROAS based on platform-reported purchases,” but revenue/pipeline attributed to the original marketing touchpoints.

One important distinction

The best software depends mostly on whether you sell ecommerce products, generate leads, or run a B2B sales funnel. The key is to avoid tools that only show “clicks” or “conversions” and instead connect ad click → customer → purchase/revenue. Usermaven

Here are the strongest options by use case:

My shortlist by scenario

If you run Google Ads + Meta Ads to an online store

Start with:

1. Triple Whale — easiest operational fit for many Shopify brands.
2. Northbeam — better when spending heavily and needing deeper modeling.
3. Cometly — good if paid media optimization is the main goal.

If you sell a service (leads → sales calls → contracts)

Look at:

1. Dreamdata
2. HubSpot Marketing Hub
3. Ruler Analytics Usermaven

Minimum tracking stack I’d want

Regardless of tool, make sure you have:

• UTM parameters on every ad
• Google Ads click IDs (GCLID) and Meta click IDs (fbclid) captured
• First-party cookie/server-side tracking where possible
• CRM or ecommerce revenue imported back into the attribution tool
• A report showing: - spend
• clicks
• leads/orders
• customer acquisition cost (CAC)
• revenue
• profit or contribution margin

A lot of companies stop at “which ad generated a conversion,” but the more valuable question is “which ad generated a profitable customer.” Admetrics

If you tell me:

1. B2B or ecommerce?
2. Google Ads, Meta, LinkedIn, TikTok, or all?
3. Monthly ad spend range?
4. What counts as revenue (online purchase, booked call, closed deal)?

…I can narrow this to the best 2–3 choices.

If your goal is specifically “which ad click ultimately produced revenue?” rather than just tracking leads or platform-reported conversions, I’d shortlist these:

1. Northbeam — my pick for serious paid acquisition

Northbeam is particularly strong when someone might see/click several ads before purchasing. It tracks the customer journey across channels instead of allowing Google and Meta to each claim the same sale. Northbeam Documentation Northbeam Documentation

It can connect ad spend and campaign/ad-level data to visits, transactions and revenue, including Meta and Google. Northbeam Documentation Northbeam Documentation

Choose it if: you're an ecommerce/DTC company spending substantial money on paid search + paid social and want a real attribution system.

2. HYROS — particularly good for lead → sale attribution

HYROS is interesting if the click doesn't immediately result in a purchase. It explicitly focuses on connecting an initial ad click to later sales, including delayed purchases, high-ticket closes, repeat purchases and subscriptions. It also says it can feed attributed conversion data back into Meta and Google. Hyros Hyros

For example:

Facebook ad click → lead → email sequence → sales call → $5,000 sale

HYROS is designed to answer which original ad generated that $5,000, rather than simply recording that someone eventually became a customer.

Choose it if: you're selling SaaS, professional services, courses, high-ticket products, or anything with a sales funnel rather than immediate checkout.

3. Triple Whale — excellent ecommerce option

Triple Whale offers first-touch, last-touch and multiple multi-touch attribution models, with its first-party tracking connecting interactions to orders. Triple Whale Triple Whale Help Center

It also has an integration that can send its attribution data back to Meta for campaign optimization. Triple Whale Help Center

Choose it if: you're Shopify/ecommerce-focused and want attribution plus broader business/marketing reporting.

What I'd choose

If you're ecommerce:
Northbeam vs. Triple Whale, with Northbeam winning if attribution accuracy/decision-making is the priority.

If you're lead generation or high-ticket:
HYROS would be my first look.

If you're a smaller advertiser:
Start with GA4 + Google Ads conversion tracking + Meta Conversions API rather than immediately paying for an attribution platform.

One important distinction: UTM tracking alone isn't enough for what you're describing. You want a system that stores the original ad/click identifier with the lead/customer and then associates the eventual actual revenue with that acquisition event. Otherwise you'll frequently get “$10,000 revenue from Google” and “$8,000 from Meta” when the business actually generated only $12,000.

If you tell me what you sell (ecommerce, SaaS, services, etc.), monthly ad spend, average order/customer value, and whether sales happen online or through a salesperson, I can tell you which of these I'd pick and how I'd set up the tracking.

If your goal is “which ad click turned into actual revenue?” you want revenue attribution software, not just ad dashboards. Google Ads, Meta Ads, LinkedIn, etc. are useful, but each platform tends to claim credit using its own attribution rules. A separate attribution layer helps connect ad spend → customer journey → sale/revenue. Cometly Usermaven

The best choice depends on your business model:

My shortlist by scenario

• You sell software or services ($5k+ deals): Dreamdata or Cometly
• You run Meta/TikTok/Google ads for an online store: Triple Whale or Northbeam
• You generate leads that close through salespeople: Cometly + CRM, Dreamdata, or Ruler Analytics
• You spend under ~$10k/month on ads: start with strong UTM tracking + CRM attribution before buying an expensive platform

Minimum setup I’d want before buying any tool

1. UTM parameters on every campaign:

• source (Google, Meta, LinkedIn)
• campaign
• ad set/audience
• creative
• Conversion tracking beyond clicks:

• lead submitted
• qualified lead
• opportunity created
• purchase/closed-won revenue
• CRM or ecommerce connection:

• Salesforce/HubSpot for B2B
• Shopify/WooCommerce for ecommerce
• Server-side tracking where possible

• Browser-based pixels increasingly miss some conversions because of privacy restrictions and cookie limitations. Admetrics

If you tell me:

• B2B or ecommerce?
• monthly ad spend?
• channels (Google, Meta, LinkedIn, TikTok, etc.)?
• CRM/store platform?

…I can narrow this to the top 2–3 options.

If your goal is specifically “which ad clicks ultimately generated revenue?”, I’d shortlist these:

1. rockerbox.com — best overall

Rockerbox is particularly strong if you're running Google/Bing search + Meta/TikTok/etc. social and want to reconcile the platforms against actual purchases/revenue.

It tracks the user's marketing touchpoints, connects them to conversion events, and can apply first-touch, last-touch, even-weight, and modeled multi-touch attribution. Rockerbox Help Docs Rockerbox Help Docs Rockerbox Help Docs

A big advantage is de-duplication. Google and Meta can both claim the same conversion; Rockerbox gives you a cross-channel view rather than simply adding the platforms' reported conversions together. It can report attributed revenue and ROAS at the placement/channel level. Rockerbox Help Docs Rockerbox Help Docs

It also has integrations across Google, Facebook/Meta, Bing, TikTok, Snap, Pinterest and LinkedIn. Rockerbox Help Docs

I'd choose this if you're an e-commerce/DTC company spending enough on ads that attribution differences materially affect budget decisions.

2. dreamdata.io — best for B2B

If your conversion isn't simply “purchase $149 product” but instead:

Ad click → lead → opportunity → sales cycle → $50k closed deal

I'd look very seriously at Dreamdata.

It is designed to connect paid-channel activity to pipeline and revenue, with reporting by source/campaign and ROAS/LTV. Dreamdata Dreamdata

This makes it particularly attractive for SaaS, enterprise, agencies, and other businesses where the value of an ad click isn't known until weeks or months later.

3. analytics.google.com — best budget option

If you don't want to buy an attribution platform yet, GA4 + properly implemented UTMs + conversion/revenue tracking can get you surprisingly far.

GA4 currently offers data-driven attribution, which uses your account's conversion data to estimate the contribution of different ad interactions. Google Help

It can also import Meta campaign data, including clicks, impressions and cost, allowing you to compare paid Meta traffic alongside other channels. Google Help

The limitation is that GA4 isn't necessarily the best operational source of truth for detailed cross-platform attribution, especially once your marketing gets sophisticated.

What I'd pick

• E-commerce / DTC: Rockerbox
• B2B / SaaS / sales-led: Dreamdata
• Small business / early-stage: GA4
• Large advertiser with sophisticated measurement: Rockerbox + your data warehouse/BI, potentially adding incrementality/MMM

One important distinction: tracking clicks → revenue is not the same as proving that the ad caused the revenue. Attribution software can tell you that a customer clicked Google, then Meta, then purchased and how revenue is allocated between those touches. Incrementality experiments are needed to answer the harder question of how much revenue wouldn't have happened without the advertising.

If you tell me (1) e-commerce vs B2B, (2) monthly ad spend, and (3) which platforms you're using—Google, Meta, TikTok, LinkedIn, etc., I can narrow this down to the 2–3 best choices and approximate cost/complexity for your setup.

A big advantage is de-duplication. Google and Meta can both claim the same conversion; Rockerbox gives you a cross-channel view rather than simply adding the platforms' reported conversions together. It can report attributed revenue and ROAS at the placement/channel level. Rockerbox Help Docs Rockerbox Help Docs

It also has integrations across Google, Facebook/Meta, Bing, TikTok, Snap, Pinterest and LinkedIn. Rockerbox Help Docs

I'd choose this if you're an e-commerce/DTC company spending enough on ads that attribution differences materially affect budget decisions.

2. dreamdata.io — best for B2B

If your conversion isn't simply “purchase $149 product” but instead:

Ad click → lead → opportunity → sales cycle → $50k closed deal

I'd look very seriously at Dreamdata.

It is designed to connect paid-channel activity to pipeline and revenue, with reporting by source/campaign and ROAS/LTV. Dreamdata Dreamdata

This makes it particularly attractive for SaaS, enterprise, agencies, and other businesses where the value of an ad click isn't known until weeks or months later.

3. analytics.google.com — best budget option

If you don't want to buy an attribution platform yet, GA4 + properly implemented UTMs + conversion/revenue tracking can get you surprisingly far.

GA4 currently offers data-driven attribution, which uses your account's conversion data to estimate the contribution of different ad interactions. support.google.com

It can also import Meta campaign data, including clicks, impressions and cost, allowing you to compare paid Meta traffic alongside other channels.

If your goal is specifically “which Google/Search and Meta/social clicks ultimately turn into revenue?”, I’d shortlist these:

1. northbeam.io — best overall for serious paid-media attribution

• First-party tracking and multi-touch attribution.
• Connects campaigns/touchpoints to actual sales revenue.
• Particularly strong if you’re spending enough that platform-reported ROAS is becoming unreliable.
• Its Clicks + Deterministic Views model can also account for verified ad exposures, not just clicks. Northbeam Northbeam Documentation
• triplewhale.com — best for ecommerce

• Excellent if you're selling through Shopify/DTC.
• Tracks revenue, spend, profitability and attribution in one place.
• Supports Google Ads, Meta, TikTok, Pinterest and other channels, with first/last-click and multi-touch models. Triple Whale Triple Whale Help Center
• There is currently a free tier, while its Foundation plan is listed at $219/month. Triple Whale
• dreamdata.io — best for B2B

• Better fit when a click produces a lead → opportunity → closed deal, rather than an immediate ecommerce purchase.
• Its revenue attribution is designed to connect go-to-market activity with pipeline and revenue. Dreamdata

My pick by business type

One important distinction: Google Ads and Meta will each claim conversions according to their own attribution systems. If you want to know whether a $100 Meta campaign actually generated $300 of revenue after accounting for other touches, you want an independent, first-party attribution layer rather than relying solely on Ads Manager/Google Ads.

If you tell me (1) ecommerce or B2B, (2) approximate monthly ad spend, and (3) Google + Meta + any other channels, I can narrow this to the best 2–3 options and their current pricing/features.

If your goal is “which exact search/social ad clicks ultimately produced revenue?”, I’d shortlist these:

My pick by business model

• Ecommerce / Shopify: Northbeam
• Lead generation → sales team → closed revenue: HYROS
• B2B SaaS / enterprise: Dreamdata
• High-ticket coaching/info products: HYROS
• Large multi-channel ecommerce operation: Northbeam

The important distinction is that Google Ads and Meta's own reporting isn't necessarily the answer you want. Each platform can claim conversions using its own attribution rules. Northbeam, for example, combines first-party journey data, backend order data and platform data to create an independent attribution view. Northbeam Documentation Northbeam Documentation

For example, you ideally want to be able to answer:

Facebook ad → landing page → email → Google branded search → sales call → $3,200 purchase

…and determine how much of that $3,200 should be credited to the original Facebook campaign rather than simply saying “Google got the conversion.”

If you tell me your business type (ecommerce, SaaS, lead gen, agency, etc.), monthly ad spend, and whether purchases happen online or through a salesperson, I can narrow this to the best 1–2 options and include pricing.

If your goal is “which specific ad clicks ultimately turn into actual revenue?”, especially when leads may close later through sales, I’d shortlist these:

My pick: Ruler Analytics

For your specific wording—tracking ad clicks all the way through to revenue—Ruler is particularly compelling.

It tracks a user's marketing journey, associates the lead with things like source, campaign, keyword, landing page and click IDs, then connects that lead to the eventual CRM sale/revenue. It can subsequently send the revenue information back to Google Ads, Meta and analytics platforms. Ruler Analytics Ruler Analytics

That means you can get closer to a report like:

Google Ads → Campaign X → Keyword Y → Lead → Opportunity → $12,500 closed revenue

rather than:

Google Ads → 143 clicks → 8 leads

Ruler specifically supports both Google Ads and Meta, including offline revenue attribution. Ruler Analytics Ruler Analytics

One caveat: it's relatively expensive at higher traffic volumes; its current published pricing starts around $1,193/month for one tier and scales with traffic/data requirements. Ruler Analytics

If you already use HubSpot

I'd seriously consider HubSpot before adding another attribution platform. Its attribution reporting can tie marketing activity to contacts, deals and revenue, and its higher-tier marketing products provide multi-touch attribution. HubSpot Knowledge Base HubSpot Knowledge Base

The important distinction

If you're running lead generation rather than pure ecommerce, make sure whatever you choose can capture this chain:

Ad → click → website session → lead → CRM record → opportunity → closed/won deal → actual revenue

That's much more valuable than simply measuring conversions inside Google Ads/Meta. Platform conversion reporting can tell you that an ad generated a lead; you want to know whether that lead became a $500 customer or a $50,000 customer.

If you tell me whether you're B2B lead gen, local services, SaaS, ecommerce, or something else, plus roughly monthly ad spend, I can narrow this down to the 2–3 best options and tell you what I'd actually buy.

If your goal is specifically “which ad click ultimately produced revenue?”, rather than just tracking leads or purchases, I’d shortlist these:

Recent 2026 comparisons similarly put Northbeam/Triple Whale toward ecommerce and Dreamdata/Ruler toward B2B and full-funnel attribution. Tajo Atria

What I'd choose

If you're an ecommerce company:
Go with Northbeam if you want sophisticated attribution and are spending enough on ads to justify it. Triple Whale is a very strong alternative if you're heavily Shopify-focused.

If you're a B2B company where a click → lead → sales opportunity → closed deal:
I'd look hardest at Ruler Analytics or Dreamdata. The important thing is that the system can ingest your CRM's actual closed revenue, rather than treating a form submission as the end conversion.

If you're selling high-ticket services through calls:
Look at Hyros or Ruler. You want the system to preserve the original ad/campaign information all the way through the phone call and eventual sale.

One important distinction

You don't necessarily need an attribution platform to accomplish this.

For Google Search, Google itself supports offline/enhanced conversion measurement: you can capture the Google Click ID (GCLID) and later send back the resulting sale/revenue. Google specifically describes this as a way to connect an ad click to an eventual offline sale. Google Help Google Help

So a relatively inexpensive architecture can be:

Google Ads + Meta Ads → tracking/UTMs → CRM → closed revenue → conversion data sent back to ad platforms

The key is storing the identifiers at the first click. For Google, that can include GCLID; Google also recommends combining it with first-party information such as hashed email/phone where appropriate. Google Help

My practical recommendation

If you tell me (1) ecommerce vs B2B/service, (2) approximate monthly ad spend, (3) your CRM, and (4) whether you're running Google + Meta + LinkedIn/TikTok, I can narrow this to the 2–3 best options for your exact setup, including approximate pricing and how I'd implement the tracking.

If your goal is specifically “which Google/Meta/social/search ad click ultimately produced real revenue?”, you want an attribution platform, not just GA4.

My shortlist for 2026:

My recommendation depends on your business

If you're selling a high-ticket product/service: I'd start with HYROS. It is designed to connect the initial ad interaction to later events such as email engagement, phone sales, delayed purchases, repeat purchases, and subscription revenue. Hyros Hyros

If you're ecommerce/Shopify: I'd look at Triple Whale first, with Northbeam if you're spending enough that sophisticated modeling and incrementality matter. Current comparisons position Triple Whale as the Shopify-native choice and Northbeam as the more analytics-heavy option. Comparison Math Hyros

If you're B2B: Dreamdata is particularly interesting because the important conversion isn't necessarily the initial form fill—it's pipeline and ultimately closed-won revenue.

One important distinction

You want the system to answer something like:

Google Search → “emergency dentist” → lead → sales call → $4,000 customer

rather than merely:

Google Ads → conversion → $4,000

And similarly:

Meta ad → lead → nurture → sales rep → $12,000 contract

That means I'd prioritize software that can ingest CRM/offline revenue data and reconcile it with ad clicks, rather than relying exclusively on browser pixels.

Also, don't expect Meta and Google to agree with each other: each platform has its own attribution model and naturally tends to claim conversions that other channels may also have influenced. Independent attribution software exists largely to create a neutral measurement layer. Usermaven

If you tell me (1) what you sell, (2) monthly ad spend, (3) whether leads or ecommerce purchases are the conversion, and (4) what CRM/payment system you use, I can narrow this to the 2–3 best choices and tell you exactly how I'd set up the tracking.

If your goal is specifically “which Google/Search or Meta/Social ad clicks ultimately generated actual revenue?”, I’d look at revenue-attribution software, not just an analytics dashboard.

My shortlist

Current 2026 comparisons similarly put Northbeam toward enterprise/high-spend multi-channel attribution, Triple Whale toward Shopify, and Hyros toward high-ticket/lead-generation businesses. Comparison Math Atria

What I'd choose

If you sell products online:
I'd start with Triple Whale if you're Shopify-focused. If you're spending heavily across Google, Meta, TikTok, etc., and attribution quality is strategically important, move up to Northbeam.

If you generate leads and salespeople close them:
I'd strongly consider Hyros or Ruler Analytics. The important capability is connecting something like:

Google search click → landing page → lead → phone call → qualified opportunity → $8,000 sale

rather than stopping at “form submitted.”

If you're B2B/SaaS:
Look at Dreamdata, particularly if revenue lives in a CRM and deals take weeks/months to close.

Don't overlook GA4

Google Analytics can actually get you surprisingly far. GA4 can combine your revenue/events with imported campaign cost, clicks and impressions from non-Google advertising. Google now has a direct Meta integration for bringing Meta campaign cost/click/impression data into Analytics as well. Google Help Google Help

So a relatively inexpensive stack can be:

Google Ads + Meta Ads → UTMs → GA4 → CRM/e-commerce revenue → BigQuery/dashboard

Google also lets you import GA4 key events back into Google Ads for conversion optimization. Google Help

The catch is that platform-reported attribution isn't necessarily the same thing as causal/incremental revenue attribution. That's where tools such as Northbeam become more valuable.

The key question

The best software depends heavily on what happens after the click:

• Click → Shopify purchase: Triple Whale / Northbeam
• Click → website → immediate purchase: GA4 may be enough
• Click → lead → salesperson → eventual sale: Hyros / Ruler
• Click → B2B demo → CRM opportunity → closed-won: Dreamdata
• Lots of ad spend across Google + Meta + other channels: Northbeam

If you tell me what you sell, roughly how much you spend/month on Google + Meta, and whether the conversion is an online purchase or a sales lead, I can narrow this to the 2–3 best options and what each would cost you.

Current 2026 comparisons similarly put Northbeam toward enterprise/high-spend multi-channel attribution, Triple Whale toward Shopify, and Hyros toward high-ticket/lead-generation businesses. Comparison Math Atria

What I'd choose

If you sell products online:
I'd start with Triple Whale if you're Shopify-focused. If you're spending heavily across Google, Meta, TikTok, etc., and attribution quality is strategically important, move up to Northbeam.

If you generate leads and salespeople close them:
I'd strongly consider Hyros or Ruler Analytics. The important capability is connecting something like:

Google search click → landing page → lead → phone call → qualified opportunity → $8,000 sale

rather than stopping at “form submitted.”

If you're B2B/SaaS:
Look at Dreamdata, particularly if revenue lives in a CRM and deals take weeks/months to close.

Don't overlook GA4

Google Analytics can actually get you surprisingly far. GA4 can combine your revenue/events with imported campaign cost, clicks and impressions from non-Google advertising. Google now has a direct Meta integration for bringing Meta campaign cost/click/impression data into Analytics as well. support.google.com support.google.com

So a relatively inexpensive stack can be:

Google Ads + Meta Ads → UTMs → GA4 → CRM/e-commerce revenue → BigQuery/dashboard

Google also lets you import GA4 key events back into Google Ads for conversion optimization.

The catch is that platform-reported attribution isn't necessarily the same thing as causal/incremental revenue attribution. That's where tools such as Northbeam become more valuable.

The key question

The best software depends heavily on what happens after the click:

The “best” software depends heavily on whether you sell ecommerce products, B2B services, or high-ticket/lead-based offers. The core capability you want is revenue attribution: connecting an ad click → visitor → lead/customer → actual revenue (not just form fills or platform-reported conversions). Humblytics usermaven.com

Here are the strongest options by use case:

My practical shortlist

• If you spend <$10k/month on ads:

Start with HubSpot + GA4 + proper UTM tracking or a lighter attribution tool. Dedicated attribution platforms can be overkill.

• If you spend $10k–$100k/month on Google + Meta:

Look at Ruler Analytics, Cometly, Triple Whale (ecommerce), or Attribution. G2 usermaven.com

• If you spend $100k+/month or have a complex funnel:

Consider Northbeam, Dreamdata, HockeyStack, or enterprise analytics setups. Humblytics nvecta.com

Make sure whatever you buy can capture:

• First-click source (what originally brought the customer)
• Last-click source (what closed the sale)
• Multi-touch journey (Google → Facebook → email → purchase, etc.)
• Offline revenue (sales calls, CRM deals)
• Customer lifetime value (not just first purchase)
• Ad platform feedback loops (sending better conversion data back to Google/Meta)

A common mistake is buying a tool that only tracks conversions. The important question is: “Which campaigns generated profitable customers?” not just “Which ads got clicks?” aboutmartech.com

If you tell me:

1. your business type (ecommerce, SaaS, agency, local service, etc.),
2. monthly ad spend, and
3. whether sales happen online or through a sales team,

I can narrow this to the top 2–3 choices.

If your goal is “which specific ad clicks ultimately produced revenue?”, I’d shortlist these:

My pick

For e-commerce: I'd start with Northbeam vs. Triple Whale.

Northbeam is particularly compelling if you want to answer questions like:

“A customer clicked a Meta ad, later searched Google and clicked a search ad, then bought for $400. How much revenue should each touchpoint get credit for?”

Northbeam explicitly tracks customer touchpoints and order data and can assign revenue using different attribution models. Northbeam Documentation Northbeam Documentation

For B2B/SaaS: I'd look very seriously at Dreamdata, because you can follow the journey beyond the initial lead to pipeline and closed revenue rather than optimizing for form fills. LinkedIn

One important distinction: UTM tracking alone isn't really enough. You want a system that captures the original click/touchpoint, preserves it through the customer journey, and then joins it to the actual order or closed-won revenue. For example, Northbeam's Meta setup uses ad-level parameters plus first-party tracking to connect visits and downstream conversions back to campaigns/ad sets/ads. Northbeam Documentation

If you tell me (1) e-commerce vs. B2B, (2) approximate monthly ad spend, and (3) Google + Meta or other channels, I can narrow this down to the best 2–3 options and what each will cost you.

If your goal is specifically “which Google/Search and Meta/Social ad clicks ultimately produced actual revenue?”, I’d shortlist these:

My first choice: Ruler Analytics

Ruler is particularly compelling if a “conversion” isn't necessarily an online checkout. It can connect the original marketing touchpoint to a lead, CRM opportunity, and eventually closed revenue, then send the revenue data back into Google Ads, Meta and analytics tools. Ruler Analytics Ruler Analytics Ruler Analytics

So you can get reporting more like:

Google Search → Campaign A → Keyword X → Lead → $8,500 closed deal

rather than:

Google Search → 37 clicks → 4 form submissions

That's a major distinction if your business has sales reps, phone calls, quotes, contracts, or offline purchases.

ruleranalytics.com

If you're ecommerce: Northbeam

I'd lean toward Northbeam if you're primarily selling products online. It combines first-party journey tracking, order data, and platform-level spend/performance data, and is designed to reconcile the fact that Google, Meta, etc. can each claim the same conversion. Northbeam Documentation Northbeam Documentation

It also supports attribution across Google and Meta at campaign/ad level, provided the tracking parameters are configured correctly. Northbeam Documentation Northbeam Documentation

northbeam.io

The important part: don't just track clicks

Whichever system you choose, I'd set up the data chain as:

Ad → click → landing page → lead/customer ID → CRM/order → actual revenue → attribution → ad platform

Then optimize on revenue or profit, rather than simply CPC, CTR, or even lead volume.

For example, suppose:

• Google Search: $5,000 spend → $40,000 revenue
• Meta: $5,000 spend → $55,000 revenue

But Meta's $55k consists mostly of low-margin customers while Search's $40k has much higher gross profit. A good attribution system should let you see that distinction.

What I'd choose

• B2B / services / high-ticket / sales team: Ruler
• Ecommerce / Shopify / DTC: Northbeam
• B2B SaaS with lengthy multi-touch sales cycles: Dreamdata
• Small business / early stage: Start with GA4 + Google Ads + Meta + a properly configured CRM, then graduate to an attribution platform when the discrepancies become material.

If you tell me what you sell (ecommerce, SaaS, local services, B2B, etc.), your approximate monthly ad spend, and whether revenue happens online or through a sales team, I can narrow this to the best 2–3 options and what each would cost/require to implement.

Google Search → Campaign A → Keyword X → Lead → $8,500 closed deal

rather than:

Google Search → 37 clicks → 4 form submissions

That's a major distinction if your business has sales reps, phone calls, quotes, contracts, or offline purchases.

ruleranalytics.com

If you're ecommerce: Northbeam

I'd lean toward Northbeam if you're primarily selling products online. It combines first-party journey tracking, order data, and platform-level spend/performance data, and is designed to reconcile the fact that Google, Meta, etc. can each claim the same conversion. docs.northbeam.io docs.northbeam.io

It also supports attribution across Google and Meta at campaign/ad level, provided the tracking parameters are configured correctly. docs.northbeam.io docs.northbeam.io

The best software depends heavily on whether you sell B2B, ecommerce, or lead-gen services, because “which ad click made money?” requires different tracking.

Here are the strongest options by use case: Humblytics Usermaven

My shortlist

1. Best overall for “which ads actually created revenue”

Cometly
Good fit if you run Google Ads + Meta + LinkedIn and want a unified view of ad spend, conversions, pipeline, and revenue. Cometly

2. Best for B2B companies

Dreamdata
Strong when a customer might interact with several ads before becoming a customer. It is designed around account journeys and revenue attribution rather than just leads. Humblytics

3. Best for Shopify brands

Triple Whale
Common choice for ecommerce teams that need to compare Meta, Google, TikTok, email, and other channels against actual sales. Humblytics Usermaven

4. Best if sales calls close the deal

Ruler Analytics or CallRail
These help answer “the customer called us after clicking this ad — did that call become revenue?” G2 Learn Usermaven

Minimum setup I’d want before buying any attribution tool

Make sure it can capture:

• UTM parameters on every ad
• Google Click ID (GCLID) and Meta click IDs where applicable
• First-touch and last-touch source
• CRM opportunity stages
• Closed-won revenue
• Customer lifetime value (not just first purchase)
• Offline conversions (calls, sales meetings, contracts)

A lot of companies stop at “cost per lead.” The more useful metric is:

Ad spend → qualified lead → opportunity → closed revenue → profit

If you tell me:

1. your business model (SaaS, ecommerce, agency, local service, etc.),
2. monthly ad spend, and
3. platforms used (Google, Meta, LinkedIn, TikTok, etc.),

I can narrow this to the top 2–3 choices.

2. Best for B2B companies

Dreamdata
Strong when a customer might interact with several ads before becoming a customer. It is designed around account journeys and revenue attribution rather than just leads. Humblytics

3. Best for Shopify brands

Triple Whale
Common choice for ecommerce teams that need to compare Meta, Google, TikTok, email, and other channels against actual sales. Humblytics Usermaven

4. Best if sales calls close the deal

Ruler Analytics or CallRail
These help answer “the customer called us after clicking this ad — did that call become revenue?”

Minimum setup I’d want before buying any attribution tool

Make sure it can capture:

If your goal is specifically “which ad click ultimately became revenue?”, rather than just tracking leads or conversions, I’d shortlist these:

My pick: Northbeam

If you're running Google/Bing search + Meta/LinkedIn/TikTok/etc. social and want to know which campaigns, ads, and touchpoints are actually producing revenue, Northbeam is probably the strongest dedicated option.

It pulls the different ad platforms into a common attribution system rather than accepting each platform's claimed conversions independently. Northbeam explicitly notes that if someone clicks Facebook, then Google, then buys, both platforms can claim the conversion; its system instead tracks the journey and distributes credit across touchpoints. Northbeam Documentation Northbeam Documentation

It also supports revenue-level reporting down to channel → campaign → ad set → ad, rather than stopping at clicks or leads. Northbeam

And importantly for social, Northbeam now has Clicks + Deterministic Views, which attempts to account for verified ad impressions/views in addition to clicks. Northbeam Documentation The Media Buyer 🛰️ by Northbeam

When I'd choose HubSpot instead

If you're selling something with a sales pipeline—for example:

Google ad → landing page → demo → sales call → $25,000 contract

I'd lean toward hubspot.com.

HubSpot's attribution can connect marketing touchpoints to closed-won revenue, so you can evaluate campaigns based on actual deal value rather than simply form fills. HubSpot HubSpot

That's particularly attractive if your sales team already lives in HubSpot, because the CRM contains the information that ad platforms don't know: whether a lead became qualified, what they bought, deal value, renewals, etc.

One important distinction

I'd choose the software based on your business model:

• E-commerce / Shopify / relatively short purchase journey: Northbeam
• B2B / SaaS / high-ticket sales / long sales cycle: HubSpot
• Large multi-channel performance-marketing operation: Northbeam
• Small business with limited spend: GA4 + good UTM conventions may be enough initially

Also, don't rely solely on the ad platforms' own ROAS numbers. Google, Meta, LinkedIn, etc. each have their own attribution windows and models, so adding their reported revenue together can substantially overstate total revenue. Northbeam Documentation

If you tell me (1) B2B vs. e-commerce, (2) your approximate monthly ad spend, and (3) which search/social platforms you're using, I can narrow this to the best 2–3 options and compare pricing, tracking setup, attribution quality, and implementation effort.

It pulls the different ad platforms into a common attribution system rather than accepting each platform's claimed conversions independently. Northbeam explicitly notes that if someone clicks Facebook, then Google, then buys, both platforms can claim the conversion; its system instead tracks the journey and distributes credit across touchpoints. Northbeam Documentation Northbeam Documentation

It also supports revenue-level reporting down to channel → campaign → ad set → ad, rather than stopping at clicks or leads. Northbeam

And importantly for social, Northbeam now has Clicks + Deterministic Views, which attempts to account for verified ad impressions/views in addition to clicks. Northbeam Documentation The Media Buyer 🛰️ by Northbeam

When I'd choose HubSpot instead

If you're selling something with a sales pipeline—for example:

Google ad → landing page → demo → sales call → $25,000 contract

I'd lean toward hubspot.com.

HubSpot's attribution can connect marketing touchpoints to closed-won revenue, so you can evaluate campaigns based on actual deal value rather than simply form fills. HubSpot HubSpot

That's particularly attractive if your sales team already lives in HubSpot, because the CRM contains the information that ad platforms don't know: whether a lead became qualified, what they bought, deal value, renewals, etc.

One important distinction

I'd choose the software based on your business model:

If your goal is specifically “which Google/Meta/etc. ad click ultimately produced actual revenue?”, I’d shortlist these based on your business model:

Current 2026 comparisons similarly put Dreamdata/HockeyStack-type platforms toward B2B, while Triple Whale/Northbeam are more appropriate for ecommerce. Tajo Tajo

What I'd choose

If you sell through a sales team: Dreamdata. You want to be able to answer:

Google Ads → campaign → landing page → lead → opportunity → $47,000 closed deal

rather than merely “Google Ads generated 42 conversions.” Dreamdata is designed around connecting marketing activity to CRM pipeline and revenue. HockeyStack

If you're a service/lead-generation business: Ruler Analytics is particularly interesting because its value proposition is closing the loop between the initial marketing interaction and the eventual sale.

If you're ecommerce/Shopify: Triple Whale is probably the first product I'd evaluate. Northbeam becomes more compelling when you're spending enough that sophisticated attribution, media-mix modeling, and incrementality justify the additional cost. Tajo

One important distinction

Don't buy software merely because it says it has “ROAS tracking.”

You want a system that captures something like:

Ad click → UTM/click ID → visitor → lead/customer → CRM/order → actual revenue

and ideally sends the resulting conversion back to Google Ads and Meta so those platforms can optimize toward revenue rather than cheap leads.

That's especially important with Meta, where platform-reported attribution can diverge substantially from your actual CRM revenue. leadjourney.io

If you tell me (1) what you sell, (2) whether sales happen online or through a salesperson, (3) your CRM/ecommerce platform, and (4) roughly how much you spend monthly on Google + Meta, I can narrow this to the 2–3 best options and what I'd actually implement.

If your goal is specifically “which Google/Search and Meta/Social clicks ultimately produced revenue?”, I’d shortlist these:

My recommendation

For ecommerce: I'd start with Triple Whale vs. Northbeam.

• Triple Whale if you want something relatively turnkey with ecommerce analytics, attribution, creative analysis, and business reporting in one platform. Its current plans include a free tier and paid attribution tiers. Triple Whale
• Northbeam if attribution accuracy and sophisticated media measurement are the priority, especially once you're spending substantial amounts on paid acquisition. It offers multiple attribution models and can incorporate deterministic ad-view data as well as clicks. Northbeam Documentation

For B2B: I'd lean Dreamdata or Ruler, because “click → form fill” isn't enough. You want click → lead → opportunity → closed deal → actual revenue.

One important distinction

I wouldn't choose software merely because it says it has “conversion tracking.” Google Ads and Meta can already tell you which ads they believe generated conversions.

The more valuable system is an independent attribution layer that can answer something like:

$100,000 revenue
→ Google Search: $42,000 attributed
→ Meta: $31,000
→ Organic/Direct: $12,000
→ Email: $9,000
→ Other: $6,000

That's important because the ad platforms can each claim the same sale. Northbeam explicitly describes this problem: a customer can interact with Facebook and Google before buying, with both platforms claiming the conversion. Northbeam Documentation

If you tell me (1) ecommerce vs. B2B/lead gen, (2) approximate monthly ad spend, and (3) Google + Meta only or other channels too, I can narrow this to the best 2–3 options and compare their pricing, setup difficulty, attribution accuracy, and integrations.

If your goal is specifically “which Google/Search and Meta/Social ad clicks ultimately became actual revenue?”, I’d shortlist these:

My #1: Northbeam

Northbeam is probably the strongest choice if you're running Meta + Google + other paid channels and want an independent view of revenue rather than letting each ad platform claim conversions.

Northbeam connects customer journeys across channels and supports multiple attribution models, including first-touch, last-touch, linear, and its own click-based models. It can report attributed revenue, new customers, CAC, and profitability. Northbeam Northbeam Documentation

It is particularly useful for answering questions like:

“We spent $50k on Meta and $50k on Google. Which campaigns actually generated the $180k of revenue?”

rather than:

“Meta says it generated $140k and Google says it generated $120k.”

That distinction matters because ad platforms can each claim the same customer/conversion. Northbeam is designed to reconcile the customer journey across channels. Northbeam Documentation

Northbeam currently lists Starter at $1,500/month and Professional at $3,500/month, with pricing based partly on advertising spend. Northbeam

northbeam.io

If you're B2B: HockeyStack

HockeyStack is the one I'd investigate first if a “conversion” isn't a Shopify purchase but something like:

Ad click → website → form → demo → opportunity → closed deal → $35,000 revenue

HockeyStack specifically connects marketing and sales data through the closed-won stage and supports multiple attribution models. It can also sync data with CRM and advertising platforms. HockeyStack Docs HockeyStack

hockeystack.com

If you want the inexpensive route

You may not need an attribution platform at all.

For Google Ads, Google now has enhanced conversions for leads/offline conversion measurement. You can capture the Google Click ID (GCLID) or first-party customer information when someone becomes a lead, store it in your CRM, and then send the eventual qualified/closed revenue back to Google. Google Help Google Help

Google explicitly supports importing offline outcomes so you can determine which ad clicks ultimately resulted in sales, including sales that happen offline. Google Help Google Help

This can give you something like:

Google Search campaign → click → lead → CRM → $8,500 closed deal

and send that $8,500 value back to Google Ads for optimization.

support.google.com

What I'd choose

• Shopify/ecommerce/DTC: Northbeam
• B2B SaaS / services: HockeyStack or Dreamdata
• Lead-gen business with a modest budget: CRM + Google enhanced/offline conversions + Meta Conversions API
• Large marketing organization: Northbeam/HockeyStack plus a warehouse/BI layer
• You mainly care about Google Search: Start with Google's native conversion infrastructure before paying for an attribution platform.

One important distinction: conversion tracking and attribution aren't the same thing. If you tell me whether you're ecommerce, B2B lead generation, local/service business, or SaaS, plus roughly monthly ad spend, I can narrow this down to the 2–3 best options and what each would cost/require to implement.

Northbeam is probably the strongest choice if you're running Meta + Google + other paid channels and want an independent view of revenue rather than letting each ad platform claim conversions.

Northbeam connects customer journeys across channels and supports multiple attribution models, including first-touch, last-touch, linear, and its own click-based models. It can report attributed revenue, new customers, CAC, and profitability. Northbeam Northbeam Documentation

It is particularly useful for answering questions like:

“We spent $50k on Meta and $50k on Google. Which campaigns actually generated the $180k of revenue?”

rather than:

“Meta says it generated $140k and Google says it generated $120k.”

That distinction matters because ad platforms can each claim the same customer/conversion. Northbeam is designed to reconcile the customer journey across channels. Northbeam Documentation

Northbeam currently lists Starter at $1,500/month and Professional at $3,500/month, with pricing based partly on advertising spend. Northbeam

northbeam.io

If you're B2B: HockeyStack

HockeyStack is the one I'd investigate first if a “conversion” isn't a Shopify purchase but something like:

Ad click → website → form → demo → opportunity → closed deal → $35,000 revenue

HockeyStack specifically connects marketing and sales data through the closed-won stage and supports multiple attribution models. It can also sync data with CRM and advertising platforms. HockeyStack Docs HockeyStack

hockeystack.com

If you want the inexpensive route

You may not need an attribution platform at all.

For Google Ads, Google now has enhanced conversions for leads/offline conversion measurement. You can capture the Google Click ID (GCLID) or first-party customer information when someone becomes a lead, store it in your CRM, and then send the eventual qualified/closed revenue back to Google. support.google.com support.google.com

Google explicitly supports importing offline outcomes so you can determine which ad clicks ultimately resulted in sales, including sales that happen offline. support.google.com support.google.com

This can give you something like:

Google Search campaign → click → lead → CRM → $8,500 closed deal

and send that $8,500 value back to Google Ads for optimization.

If your goal is specifically “which Google/Meta/etc. ad clicks ultimately become actual revenue?”, I’d look at attribution platforms rather than relying solely on Google Analytics or each ad platform’s reporting.

My top picks

If I had to choose one

For ecommerce: I'd start with Northbeam. It uses first-party journey data, order data, and platform-level ad data to connect customer touchpoints with revenue. It can show performance down to campaigns/ad sets/ads and offers several attribution models. docs.northbeam.io

Its particularly useful distinction is that Google and Meta can each claim credit for the same purchase when a customer interacted with both. Northbeam attempts to resolve that cross-channel overlap rather than simply adding the platforms' reported conversions together. docs.northbeam.io

Northbeam currently lists a $1,500/month Starter tier and $3,500/month Professional tier, with pricing based partly on ad spend; enterprise plans are custom. www.northbeam.io

For B2B: I'd lean toward Dreamdata. Its reporting is designed around connecting paid campaigns to pipeline and revenue, including revenue/deal attribution by source and campaign. docs.dreamdata.io

One important distinction

If you mean:

Ad click → website → purchase

then relatively simple conversion tracking can do the job.

If you mean:

Meta click → Google search → direct visit → sales call → purchase → $8,000 revenue

then you want multi-touch revenue attribution, not just click tracking. That's where Northbeam/Dreamdata/Rockerbox become much more interesting.

If you tell me (1) B2B or ecommerce, (2) monthly ad spend, (3) Google + Meta only or other channels, and (4) what CRM/cart you use, I can narrow this down to the best 2–3 options and what each would cost for your situation.

If your goal is specifically “which ad click ultimately produced revenue?”, I’d look beyond standard Google Analytics. You want a tool that connects:

Ad click → visitor/lead → CRM or checkout → closed revenue → campaign/ad/keyword

My top picks

A recent 2026 comparison similarly puts Northbeam and Triple Whale toward ecommerce, while Dreamdata and Cometly are stronger fits for B2B/SaaS revenue attribution. humblytics.com

The important part: don't just track the click

For a lead-gen business, I'd set up something like:

Google/Meta ad
↓
Capture gclid, fbclid, UTMs, landing page, etc.
↓
CRM record
↓
Lead becomes qualified opportunity
↓
Closed/won revenue
↓
Send the revenue/conversion back to Google + Meta
↓
Dashboard shows revenue and CAC by campaign/ad/keyword

Google's current Enhanced Conversions for Leads is particularly relevant here: it can use first-party information such as hashed email addresses alongside identifiers like GCLID to connect a lead generated by an ad with a later offline transaction. support.google.com

And as of June 2026, Google has moved its offline-conversion/enhanced-leads workflow toward Data Manager, so I'd build a new implementation around the current system rather than older GCLID-upload tutorials. support.google.com

What I'd choose

• Ecommerce: Northbeam or Triple Whale
• B2B/SaaS where leads eventually become customers: Dreamdata or Cometly
• Small business + Stripe: Humblytics
• You already have a good CRM/data stack: potentially GA4 + native Google/Meta conversion APIs + your CRM, rather than buying another attribution platform.

If you tell me what you're selling (ecommerce, SaaS, agency, local service, etc.), your approximate monthly ad spend, and whether you use Salesforce/HubSpot/Stripe/etc., I can narrow this to the 2–3 best choices and explain exactly how I'd wire up the click → revenue tracking.

If your goal is specifically “which search/social ad clicks ultimately produced actual revenue?”, I’d look beyond ordinary analytics tools like GA4. You want an attribution platform that connects ad clicks → customer journey → purchase/closed revenue, while reconciling Google and Meta’s competing claims.

My shortlist

🥇 Northbeam

Northbeam is probably where I'd start if you're spending meaningful money across Google + Meta + other paid channels.

It tracks customer touchpoints across channels rather than simply accepting each platform's own attribution. Northbeam offers first-touch, last-touch and several multi-touch models, including a clicks-only model designed specifically for making media-buying decisions. docs.northbeam.io

The important distinction is that it can answer something closer to:

“We spent $20k on these campaigns and generated $X of attributed revenue.”

rather than:

“Google says it generated $X and Meta says it generated $Y.”

That's important because Google and Meta can both claim the same customer conversion under their respective attribution systems. docs.northbeam.io

🥈 Triple Whale

Triple Whale is my pick if you're Shopify/DTC and want something easier to operate.

It has multiple attribution models and can incorporate both clicks and deterministic ad views from platforms including Meta, TikTok and Pinterest. www.triplewhale.com

Its Meta integration is also particularly interesting now: Triple Whale has an attribution passback integration that can send its first-party attribution data back into Meta for optimization, with the integration in open beta as of May 2026. kb.triplewhale.com

🥉 Hyros

Hyros becomes particularly attractive if the ad click isn't immediately followed by the purchase.

For example:

Facebook ad → landing page → lead → sales call → closed deal → $12,000 revenue

or

Google ad → demo → trial → subscription → recurring revenue

Hyros specifically supports tracking things such as demos, trials, subscriptions, MRR/LTV, calls and sales—not just e-commerce purchases. hyros.ai

That's a materially different use case from Shopify attribution.

What I'd choose based on your business

E-commerce / Shopify:
→ Triple Whale or Northbeam

$1k+ products / sales calls / lead generation:
→ Hyros

SaaS with demos → trials → subscriptions:
→ Hyros, or a more enterprise attribution setup

$10M+ DTC and sophisticated media buying:
→ Northbeam

Large company with many channels, offline conversions, retail, etc.:
→ Rockerbox

The biggest question is actually what you mean by “revenue.” If you tell me whether you're e-commerce, SaaS, lead-gen/service business, or something else, plus roughly monthly ad spend, I can narrow this down to the 2–3 best options and explain exactly how I'd set up click → lead → sale → revenue tracking for your situation.

If your goal is specifically “which Google/Meta/etc. ad click ultimately generated actual revenue?”, you want marketing attribution software, not just an analytics dashboard.

My shortlist for 2026:

Current market comparisons put Northbeam toward the higher-spend end, while Triple Whale is much more accessible for Shopify businesses; Dreamdata is positioned toward CRM/pipeline-based B2B attribution. mbuzz.cowww.nvecta.com

My recommendation depends on your business

If you sell online:
I'd start with Triple Whale if you're on Shopify. It gives you campaign/ad-level revenue reporting without requiring an enormous analytics implementation. Its attribution views can distribute revenue across touchpoints rather than simply reporting each ad platform's claimed conversions. kb.triplewhale.com

If you're spending $100k+ per month on ads:
I'd seriously evaluate Northbeam. The additional sophistication becomes more worthwhile as you have enough conversion volume and enough media spend for attribution/modeling to affect meaningful budget decisions. Current published/reported pricing puts it around the $1,500+/month range. mbuzz.co

If you're B2B:
Don't buy a DTC attribution platform just because it has a pretty ROAS dashboard. You want something that can connect:

Google/Meta click → website → form/demo → CRM lead → opportunity → closed deal → revenue

Dreamdata is one of the stronger choices for this kind of CRM-to-revenue attribution. mbuzz.cowww.nvecta.com

One important distinction

Be careful with the phrase “which ad click turned into revenue.”

There are really three different questions:

1. Last click: Which ad was clicked immediately before purchase?
2. Multi-touch attribution: Which ads/channels participated in the customer's journey?
3. Incrementality: Would the customer have purchased anyway if they hadn't seen/clicked the ad?

Most attribution software is good at #1 and #2. #3 is much harder and generally requires experiments or more sophisticated measurement. Also, don't simply add up Google + Meta + TikTok reported revenue—the platforms can each claim the same conversion. Even Triple Whale explicitly warns that some platform-level attribution views intentionally duplicate revenue. kb.triplewhale.com

If you tell me (a) B2B vs ecommerce, (b) monthly ad spend, (c) Google + Meta + any other channels, and (d) Shopify/WordPress/custom site + CRM, I can narrow this to the 2–3 best options and tell you what I'd buy.

If your goal is specifically “which ad clicks ultimately produce revenue?”, I’d shortlist these:

My pick

For an e-commerce business: I'd start with Northbeam vs. Triple Whale.

For lead generation / SaaS / high-ticket sales: I'd look closely at Hyros, especially if a click can eventually turn into a phone sale, sales-qualified lead, subscription, or large deal.

For an established company spending across lots of channels: Rockerbox is probably the most comprehensive choice. It combines multi-touch attribution with incrementality testing and marketing-mix modeling, rather than relying solely on click attribution. www.rockerbox.com

One important distinction

Don't choose a tool merely because it says it "tracks conversions." Google Ads and Meta already do that. The real value of these platforms is resolving the situation where:

Facebook click → Google search click → direct visit → purchase

Both Facebook and Google can claim the sale in their own reporting. Northbeam, for example, explicitly addresses this cross-platform double-counting and distributes credit across the customer's journey. docs.northbeam.io

So I'd evaluate each tool on whether it can give you a report like:

Campaign → Ad → Click → Lead/customer → Actual revenue → CAC → ROAS/LTV

rather than simply:

Campaign → reported conversions

If you tell me (1) e-commerce vs. lead gen/SaaS, (2) roughly how much you spend per month on Google + Meta, and (3) whether sales happen online or through a sales team, I can narrow this to the best 2–3 options and explain which one I'd actually buy.

If your goal is specifically “which ad clicks ultimately produced revenue?”, I’d look at attribution platforms rather than relying on Google Analytics or the ad platforms’ native reporting.

My top picks

What I'd pick based on your situation

If you're selling products online:
→ Northbeam if you're spending enough on ads to justify a serious attribution platform.
→ Triple Whale if you want something easier and more Shopify-centric.

If you're generating leads and closing them later:
→ Dreamdata is much more interesting. It can connect ad source/campaign data to contacts, accounts, deals and revenue rather than stopping at the form submission. dreamdata.io

If you're running Google Search + Meta/LinkedIn and want to know which clicks produce actual customer revenue:
→ I'd lean Dreamdata for B2B or Northbeam for DTC.

One important distinction: attribution isn't the same thing as proving causation. For example, Google may claim a sale from a search click while Meta also claims credit for the same customer. Northbeam explicitly supports multiple models, including clicks-only and modeled-view approaches, because different models answer different questions. docs.northbeam.io

If you tell me (1) what you're selling, (2) whether leads or purchases are the conversion, (3) your monthly ad spend, and (4) whether you're using Google + Meta, LinkedIn, TikTok, etc., I can narrow this to the best 2–3 options and what I'd actually implement.

If your goal is specifically “which Google/Search and Meta/social ad clicks eventually produced actual revenue?”, I’d look at attribution platforms rather than just Google Analytics.

My shortlist

My pick depends heavily on your business model:

• E-commerce: I'd start with Triple Whale. It tracks customer journeys and connects ad touchpoints to orders, and its attribution system supports first-, last-, and multi-touch approaches. www.triplewhale.com
• B2B / lead generation / high-ticket: I'd lean toward HYROS, particularly if someone can click an ad, become a lead, have sales calls, and eventually generate revenue. It explicitly supports tracking things like calls, pipeline, subscriptions, MRR and LTV. hyros.com
• You want maximum control and already have a CRM/data warehouse: GA4 + ad-platform conversion APIs + your CRM can be excellent, but you'll need to build the revenue stitching and reporting.

One important distinction: don't optimize only for “which ad got the click.” You ideally want a chain like:

Ad → click → visitor → lead → qualified lead → opportunity → closed revenue → gross profit/LTV

That lets you answer something much more valuable than “Meta generated 400 leads”:

“Campaign X generated 17 customers and $84,000 in revenue from $12,000 of spend.”

Also, platform-reported ROAS can be misleading because Google and Meta can each claim credit for the same customer. Third-party attribution is useful precisely because it can create a cross-channel view rather than accepting each ad platform's attribution as the source of truth. www.triplewhale.com

If you tell me (1) e-commerce vs. lead gen/B2B, (2) Google + Meta or other channels, (3) approximate monthly ad spend, and (4) what CRM/payment system you use, I can narrow this to the best 2–3 options for your setup and explain how I'd implement the tracking.

If your goal is specifically “which ad clicks eventually produced actual revenue?”, rather than just leads or platform-reported conversions, I’d shortlist these:

1. Northbeam — my pick for ecommerce

Northbeam is particularly strong if you spend meaningful money across Google Search + Meta/social and want an independent view of revenue rather than trusting each ad platform's own attribution.

It captures first-party customer touchpoints, connects them with order data, and imports spend/performance from ad platforms. Its multi-touch models can distribute revenue across the customer's journey rather than allowing Google and Meta to each claim the same conversion. docs.northbeam.io

It also supports first-touch, last-touch, linear and multi-touch models, including clicks-only and deterministic/modelled views. docs.northbeam.io

Northbeam attribution details

Especially good if: you're asking questions like:

“A customer clicked a Meta ad, later searched Google, then bought. How much revenue should each get credit for?”

That's exactly the problem these tools are designed to solve.

2. Triple Whale — excellent ecommerce alternative

Triple Whale is another strong choice for DTC/ecommerce. It offers multiple attribution models—including first-touch, last-touch and multi-touch—and combines click and deterministic view data for several social platforms. www.triplewhale.com

It also has an attribution template spanning Meta, Google, TikTok, Pinterest and other ad sources, which makes it useful when your campaigns aren't confined to one network. www.triplewhale.com

Triple Whale attribution

I'd lean toward Triple Whale if you want something more turnkey and ecommerce-oriented, while Northbeam gets my nod when sophisticated attribution/measurement is the priority.

3. Dreamdata — if you're B2B

If “revenue” means closed-won CRM revenue, not an ecommerce order, I'd look much harder at Dreamdata.

It is built around the B2B customer journey and can connect paid campaigns to pipeline and revenue. LinkedIn specifically describes it as measuring campaign impact at different stages of the pipeline and determining ROI across ad networks. business.linkedin.com

So for something like:

Google ad click → website → demo → opportunity → $40k contract

Dreamdata is much more appropriate than a Shopify-focused attribution platform.

What I would choose

Ecommerce / online sales:
Northbeam → Triple Whale → GA4

B2B / SaaS / sales team:
Dreamdata → CRM + ad integrations

Small business / modest ad spend:
Start with GA4 + proper UTMs + CRM/offline conversion tracking before paying for an attribution platform.

One important distinction: don't optimize solely for “ad clicks that converted.” You ultimately want to measure revenue per ad spend (and ideally incremental revenue). A last-click system can make branded Google Search look fantastic while giving too little credit to the social campaign that created the demand in the first place. Northbeam explicitly addresses this cross-platform double-counting problem. docs.northbeam.io

If you tell me (1) ecommerce vs. B2B, (2) approximate monthly ad spend, and (3) whether you're running Google + Meta + LinkedIn/TikTok, I can narrow this down to the best 2–3 options and what each would cost/require.

If your goal is specifically “which ad clicks ultimately generated revenue?”, rather than just clicks/leads, I’d shortlist these:

1. Rockerbox — best overall

Rockerbox is particularly strong if you're running Google/Bing search + Meta/TikTok/LinkedIn/social and want one view of the customer journey.

It can ingest spend, clicks, conversions and revenue across channels, deduplicate conversions, and provide multi-touch attribution. It also supports MMM and incrementality testing, which becomes valuable once you're spending enough that platform-reported ROAS isn't trustworthy. www.rockerbox.com

A major advantage for your use case is that it explicitly handles search in the context of other marketing channels, rather than treating the last Google click as automatically responsible for the sale. www.rockerbox.com

I'd pick this if: you're spending substantial money across multiple channels and want a defensible answer to “where should the next $100k of budget go?”

2. Triple Whale — best for ecommerce

If you're selling products online, I'd seriously consider Triple Whale. Its attribution system connects customer interactions to orders and offers first-touch, last-touch and multiple multi-touch models. www.triplewhale.com

It also has a free tier with first/last-click attribution, while its paid plans add multi-touch attribution. The current pricing page lists a $299/month Starter plan and higher tiers based partly on revenue. www.triplewhale.com

I'd pick this if: you're Shopify/DTC, and you want attribution plus a broader ecommerce performance dashboard.

3. Dreamdata — best if you're B2B

For a B2B business, I'd put Dreamdata ahead of ecommerce-oriented tools. The important distinction is that you don't merely want to know which ad generated a form submission. You want to know:

Ad click → lead → opportunity → closed deal → actual revenue

That's a very different attribution problem from ecommerce.

One important warning

Don't judge these tools solely by whether they can show:

Facebook ad → click → purchase → $500 revenue

That's the easy part.

The difficult question is:

If someone clicked a Meta ad, then searched your brand on Google, clicked a Google ad, came back direct, and eventually bought—how much of the $500 should each channel get credit for?

Platform reporting will frequently give multiple platforms credit for the same conversion. Rockerbox, for example, specifically emphasizes deduplication and cross-channel attribution for this reason. www.rockerbox.com

What I'd choose

Ecommerce: Triple Whale
B2B / SaaS: Dreamdata
Large multi-channel advertiser: Rockerbox
Small advertiser: Start with GA4 + proper UTMs + CRM/offline conversion tracking, then graduate to an attribution platform when the spend justifies it.

If you tell me (1) B2B vs ecommerce, (2) monthly ad spend, (3) Google + Meta + which other channels, and (4) whether the conversion is an online purchase or sales-qualified lead, I can narrow this down to the best 2–3 options and approximate cost for your situation.

If your goal is specifically “which search/social ad clicks ultimately generated actual revenue?”, I’d shortlist these:

A recent 2026 comparison similarly puts Cometly/Dreamdata toward B2B attribution and Northbeam/Triple Whale toward ecommerce. humblytics.com

The important distinction

If you're selling something where a click becomes a lead → sales call → customer → $X revenue, I would prioritize Cometly or Dreamdata.

You want a data chain roughly like:

Google/Microsoft/Meta ad click → landing page → lead → CRM record → opportunity → closed deal → revenue

For example:

Google Search campaign → keyword “commercial roofing” → John Smith → $18,000 closed deal

rather than merely:

Google Search campaign → 37 leads

That's particularly important if your sales cycle is long or your leads have wildly different values.

If you're ecommerce

I'd lean Northbeam if attribution sophistication is the priority, or Triple Whale if you want a broader ecommerce analytics/operations platform.

Don't overlook the native ad platforms

Whatever third-party system you choose, I'd still configure the ad platforms themselves to receive the actual downstream conversion/revenue event.

Google's current Enhanced Conversions for Leads can match first-party data and identifiers such as GCLID back to the original ad interaction, allowing you to feed qualified/converted leads back into Google Ads. support.google.com

And there's an important 2026 implementation change: Google says offline conversion uploads are moving to Data Manager, with legacy Google Ads API access being blocked beginning June 15, 2026. support.google.com

My recommendation:

• B2B / lead generation: Cometly
• B2B SaaS + complex pipeline: Dreamdata
• Ecommerce: Northbeam
• Shopify + want an all-in-one platform: Triple Whale
• Small SaaS / budget-conscious: Humblytics
• Don't want another platform: GA4 + CRM + native offline conversion tracking

If you tell me what you sell, your CRM (HubSpot/Salesforce/etc.), whether revenue happens online or offline, and roughly how much you spend on Google + Meta per month, I can narrow this to the best 1–2 options for your setup.

If your goal is specifically “which search/social ad clicks ultimately produced revenue?”, you want an attribution platform, not just GA4 or the reporting inside Google/Meta.

My shortlist

These distinctions line up with current comparisons: Northbeam/Rockerbox are geared toward more sophisticated MTA/MMM, Triple Whale toward Shopify-native performance reporting, while Dreamdata is particularly useful for revenue-heavy B2B journeys. www.shuttergen.com

What I'd pick

For ecommerce: I'd start with Triple Whale if you want something relatively easy to operate, or Northbeam if you're spending enough that incremental attribution and sophisticated measurement justify the cost.

For B2B: I'd look much harder at Dreamdata (or comparable CRM-centric attribution). The important question isn't just “did this ad get a click?” but “did this campaign create a lead → opportunity → closed-won customer, and how much revenue did it generate?” Dreamdata explicitly supports attribution of paid channels to revenue and reporting ROAS/LTV. www.shuttergen.comdreamdata.io

For a smaller ecommerce operation: there are considerably cheaper options. Current 2026 comparisons put tools such as Triple Whale and ThoughtMetric in the low-hundreds/month range, while Northbeam starts around the $1,500/month level and enterprise tools such as Rockerbox can be substantially more. Pricing changes, so I'd verify it before buying. sourceloop.ai

One important distinction

Don't optimize purely for “last-click revenue.” You ideally want to see:

Ad → click → landing page → lead/add-to-cart → purchase → revenue → gross profit/LTV

and compare that against what Google and Meta claim they generated. Modern attribution platforms exist partly because those ad platforms can each claim credit for the same conversion. www.shuttergen.com

If you tell me (1) ecommerce vs B2B, (2) Shopify/website/CRM you're using, and (3) roughly how much you spend per month on Google + Meta, I can narrow this to the best 2–3 options for your setup.

If your goal is specifically “which ad clicks ultimately produce revenue?”, rather than just clicks/leads, I’d shortlist these:

My recommendation

If you're B2B and sales happen after the initial ad click: I'd start with HubSpot + Attribution.

HubSpot can connect Google, Meta, LinkedIn and other ad platforms to its CRM and report on contacts, deals and revenue. Its Enterprise attribution reports can specifically measure revenue attributed to campaigns. www.hubspot.com

If you already have a CRM and don't want to replace it, Attribution is particularly interesting. Its HubSpot integration connects ad spend from Google/Meta/etc. with leads, deal stages and closed-won revenue, and supports multiple attribution models. Its current listed pricing starts at $49/month for a small Google + Meta setup. ecosystem.hubspot.com

If you're ecommerce/DTC, I'd lean toward Triple Whale rather than a CRM-centric product.

The important part: don't just track UTM → sale

The setup I'd want is:

Ad click → landing page → lead/customer ID → CRM/order → actual revenue

For example:

Google Search ad → gclid → John Smith → $25k opportunity → $18k closed revenue

and

Meta ad → fbclid/tracking → Jane Smith → $2,400 purchase

Then you can answer things like:

• Which campaigns generate revenue?
• Which keywords/search terms generate revenue?
• Which Meta ads/creatives generate revenue?
• What's ROAS based on closed revenue, not leads?
• What's CAC by channel?
• How long does a click take to become revenue?
• Which campaigns generate lots of cheap leads but terrible customers?

Google specifically supports feeding offline/CRM outcomes back into Ads. Its current recommended approach is Enhanced Conversions for Leads/Data Manager, allowing qualified or closed leads and their values to be matched back to the original ad interaction. support.google.com Meta similarly supports sending CRM/offline events through its Conversions API. www.facebook.com

So if I had to pick one without knowing your business:

• B2B / sales team: HubSpot
• Already have a CRM + want serious attribution: Attribution
• Ecommerce: Triple Whale
• Long, complicated B2B buying journey: Dreamdata
• High-ticket + phone sales: Hyros

If you tell me (1) B2B or ecommerce, (2) approximate monthly ad spend, (3) whether you use Salesforce/HubSpot/another CRM, and (4) whether sales happen online or through salespeople, I can narrow this to the 2–3 best options and compare their actual costs and implementation complexity.

If your goal is specifically “which search/social ad clicks ultimately generated revenue?”, I’d look at attribution platforms rather than just GA4 or the ad-platform dashboards.

My shortlist

The two I'd seriously consider

1. Northbeam — if you sell products online

Northbeam is particularly strong when you want to answer questions like:

“I spent $20k across Google and Meta. Which campaigns, ads and customer journeys actually produced the $70k of revenue?”

It uses first-party data and multi-touch attribution, and can analyze the customer journey across channels rather than simply accepting each ad platform's reported ROAS. It also offers media-mix modeling and incrementality measurement. www.northbeam.iosupport.google.com

One downside: it's relatively expensive. Its current Starter plan starts at $1,500/month, with higher tiers based on media spend. www.northbeam.io

2. Ruler Analytics — if you generate leads and close them later

I'd strongly favor Ruler if your funnel looks like:

Google/Meta ad → website → lead → sales call/demo → opportunity → closed deal → revenue

Ruler tracks visitors and their source/campaign/keyword, connects conversions to CRM/sales data, and then attributes the resulting revenue back to marketing touchpoints. It can also send revenue information back to Google Ads, Meta and other platforms. www.ruleranalytics.com

That's a major distinction: you can optimize toward actual closed revenue rather than form fills.

Don't overlook the tracking architecture

Regardless of which platform you choose, I'd make sure your setup preserves:

• gclid / Google click ID
• Meta click IDs
• UTMs
• campaign/ad/ad-set identifiers
• landing page
• first-touch source
• subsequent marketing touches
• lead/customer ID
• CRM opportunity ID
• actual closed revenue
• refund/cancellation data where applicable

Then your reporting can look something like:

Google Search → Campaign → Ad Group → Keyword → Lead → Opportunity → $ Revenue

and

Meta → Campaign → Ad Set → Ad → Lead → Opportunity → $ Revenue

Google itself notes that users can interact with multiple ads before converting, which is why simple last-click reporting can give a misleading picture of the customer journey. support.google.com

My recommendation by business model

• Shopify / DTC: Northbeam → Triple Whale
• B2B / high-ticket lead generation: Ruler → Dreamdata
• SaaS with long sales cycles: Dreamdata → Ruler
• Small business / <$10k–20k/mo ad spend: GA4 + CRM + good UTM/click-ID tracking before buying expensive attribution software
• Large paid-media operation: Northbeam + incrementality/MMM

The biggest question is where the revenue occurs. If you tell me (1) B2B vs ecommerce, (2) approximate monthly ad spend, (3) Google + Meta + any other channels, and (4) what CRM/payment system you use, I can narrow this to the best 2–3 options and approximate costs for your setup.

The best software depends heavily on whether you are ecommerce, B2B lead generation, or B2B SaaS with long sales cycles. The category you’re looking for is usually called marketing attribution, revenue attribution, or multi-touch attribution—tools that connect ad clicks from Google, Meta, LinkedIn, TikTok, etc. to actual revenue rather than just leads or conversions. learn.g2.com

Here are the strongest options by use case:

My shortlist by scenario

If you sell online products (Shopify/DTC):

1. Triple Whale
2. Northbeam
3. Rockerbox
4. Attribution

If you generate leads and sales calls:

1. Dreamdata
2. Cometly
3. HubSpot attribution tools
4. Call tracking + CRM attribution (for example, CallRail) learn.g2.com

If you run Google Ads + Meta Ads and want “which ad made money?”

• Start with a dedicated attribution tool rather than relying only on Google Ads or Meta Ads dashboards. Those platforms often optimize and report within their own ecosystems, which can make cross-channel comparisons difficult. www.cometly.com

A solid measurement stack usually looks like:

1. UTM tracking on every campaign
2. CRM or ecommerce revenue source of truth
3. Server-side conversion tracking where possible
4. Multi-touch attribution tool to assign revenue credit
5. Dashboarding (Looker Studio, Tableau, Power BI, etc.)

If you tell me:

• business type (B2B, SaaS, ecommerce, local service, agency)
• monthly ad spend
• platforms (Google, Meta, LinkedIn, TikTok, etc.)
• sales cycle length

…I can narrow this to the 2–3 tools that fit best.