Shopify funnel with Purchase at 9.3/10
A Shopify store tracked from first visit to purchase. Match quality rises through the funnel as more customer details become available at checkout.
I connect your ads, website and CRM, then send real customer outcomes back to Google and Meta. Your budget starts working toward customers, not just form fills.
Works with the tools you already use
Google and Meta learn from the conversions you send them. If every lead counts the same, they find more cheap leads, not more customers.
The ad platforms count a form fill or a call as a win, whether it turns into a job or never answers the phone.
Your team marks leads as qualified, books the visit and records the sale. That's the data that shows what's working.
Without a feedback loop, Google and Meta keep optimizing for volume, and your real cost per customer stays hidden.
When your ads, website and CRM share the same data, you stop judging campaigns by clicks and form fills. You judge them by the customers they bring in.
Find My Lead-to-Revenue GapsSee which campaigns bring leads your team wants to call back, and which ones only bring volume.
Qualified leads, booked jobs and purchases flow back to Google and Meta, so bidding favors the people who buy.
Server-side tracking and properly mapped customer data help Meta and Google connect more conversions to real people.
One consistent view from ad click to revenue, tested and documented, so budget decisions start from facts.
Built inside the tools you already pay for, so your team keeps working the way it does now.
I trace how a lead moves from the ad to the form, the CRM and the sale, and find where the source gets lost.
Click IDs and campaign details are saved with every lead in your CRM, so each sale traces back to its ad.
Together we set clear stages for qualified lead, booked job and revenue in the CRM you already use.
Qualified leads, booked jobs and revenue go back to Google and Meta, and you see cost per booked job.
Match quality scores, results and builds from client accounts. Select any screenshot to see it full screen.
A Shopify store tracked from first visit to purchase. Match quality rises through the funnel as more customer details become available at checkout.
A lead funnel that reports both the opt-in and the booked appointment to Meta, so the platform can optimize for the step that matters.
A GoHighLevel funnel sending PageView and Lead events to Meta through both the Pixel and the Conversions API.
Account-level performance in Google Ads, reviewed alongside what happened to those conversions after the lead came in.
Purchase outcomes recorded by the ecommerce tracking, visible in GA4 reports.
When a lead moves to a new pipeline stage in LeadConnector, a Zapier workflow formats the data and sends an offline conversion to Google Ads.
Most businesses start with the audit. If you already know what's broken, go straight to the build.
See exactly where lead data gets lost.
A review of your tracking, ad platforms and CRM, with a prioritized list of what to fix first.
Make Google and Meta learn from jobs.
Tracking, CRM stages and ad platforms connected around qualified leads, booked jobs and revenue.
Know what to scale, fix or stop.
A monthly view of cost per qualified lead, booked job and revenue, with clear recommendations.
I help businesses see what happens after the click. I've completed 60+ measurement projects for clients in 8+ countries, and I do the work myself.
Book a call and walk me through your ads, forms and CRM. I'll show you where the trail from ad click to revenue breaks.
Prefer email? hello@souravanalytics.com
Real client data. Every figure is shown exactly as it appears in the client account, for the date range on screen.
Only leads the business marks as qualified are sent back to Meta as a Qualified_Lead event, through both the Pixel and the Conversions API. Meta learns from good leads, not every form fill.
On screen: Qualified_Lead active at 9.2/10 Event Match Quality, PageView at 6.1/10, with Conversions API and Meta Pixel integrations.
Event detail for a Purchase event after the customer data mapping was completed. Meta rates how well each purchase can be matched to a real person.
On screen: Event match quality score (web) of 9.3/10 for Purchase, with Meta's suggestions for further parameters.
A Shopify store tracked from first visit to purchase. Match quality rises through the funnel as more customer details become available at checkout.
On screen: PageView, Add to cart and View content at 6.1/10, Initiate checkout 6.7/10, Add payment info 8.3/10 and Purchase 9.3/10 for May 10 to Jun 6, 2026.
A lead funnel that reports both the opt-in and the booked appointment to Meta, so the platform can optimize for the step that matters.
On screen: Opt-in_form_sub and Book_Appointment both at 9.3/10 Event Match Quality, PageView at 6.1/10, with 380, 142 and 62 events.
A GoHighLevel funnel sending PageView and Lead events to Meta through both the Pixel and the Conversions API.
On screen: Lead at 9.1/10 and PageView at 8.0/10 Event Match Quality, with Conversions API and Meta Pixel integrations.
Account-level performance in Google Ads, reviewed alongside what happened to those conversions after the lead came in.
On screen: 4.44% conversion rate, 34K conversions, €15.97 cost per conversion and €543K cost for the selected range.
Purchase outcomes recorded by the ecommerce tracking, visible in GA4 reports.
On screen: 2.3K add-to-carts, 541 purchases, $46K purchase revenue and $140.14 ARPPU.
Campaign-level results in Meta Ads Manager. Numbers like these need to be read next to what the CRM says happened to each lead.
On screen: 6,618 link clicks on one campaign and 389 form leads on another, for the date range shown.
Item-level purchase reporting in GA4, following products from view to cart to purchase.
On screen: 6,269 items viewed, 816 added to cart, 218 items purchased and purchase revenue of $14,507.15.
A GA4 events report isolating the lead event, used to check that recorded leads line up with the forms and the CRM.
On screen: 451 events from 436 users, one event per active user, for the selected period.
Meta test results confirming that browser and server copies of each event are matched, so a purchase is never counted twice.
On screen: Purchase, Add payment info and Initiate checkout, each with a browser event and a server event marked Deduplicated.
When a lead moves to a new pipeline stage in LeadConnector, a Zapier workflow formats the data and sends an offline conversion to Google Ads.
On screen: Five steps: Pipeline Stage Changed, Date / Time, Numbers, Filter conditions and Send Offline Conversion.
The same check on a lead-generation setup: browser events processed, matching server events deduplicated.
On screen: Lead and PageView pairs, browser events marked Processed and server events marked Deduplicated.
The server container that receives events from the website and forwards them to the ad platforms, with full control over what is sent.
On screen: Container settings, 301 of 10,000 requests used, and the sGTM container ID.
A Make scenario that receives ManyChat data by webhook, prepares it, and routes it to two HTTP requests for conversion delivery.
On screen: A scenario named ManyChat Conversion API with Webhooks, Tools, Router and two HTTP modules.
Custom HTML, Data Tag and Meta Pixel tags attached to conversion and page triggers, so the same events reach the pixel and the server container.
On screen: Store Data On SS, User Data On ThankYou Page, Complete Registration Data Tag, Meta Pixel and Meta SS PageView tags.
A GTM workspace for a lead funnel: consent, GA4 configuration and events, Meta Pixel events, and a JotForm submission listener.
On screen: Cookiebot CMP, GA4 Configuration, GA4 Lead Event, GA4 SS Purchase, JotForm Listener, Meta Pixel Base Code and Lead Event.
A variable structure that keeps identity, commerce and event details available to every tag, so conversion context is not lost.
On screen: Variables including email_address, phone_number, currency, value, event_id, transaction_id and user_id, plus a debug lookup table.
Tell me which ads you run, which CRM you use and what happens after someone fills in a form.
For businesses spending on Google or Meta that can't say which campaigns produce booked jobs.
I review how your tracking, ad platforms and CRM work together today, and find where lead source or outcome data is lost. You get a clear, prioritized list of what to fix, so nothing changes until you know what matters most.
Find My Lead-to-Revenue GapsWhat you'll know: exactly where the trail from ad click to revenue breaks, and which fix will make the biggest difference.
For businesses ready to make Google and Meta learn from booked jobs instead of form fills.
I connect your website, CRM and ad platforms around the outcomes your business values: qualified lead, booked job and revenue. Everything is tested before handover and documented so your team knows how it works.
Discuss a BuildWhat you'll know: which campaign produced each booked job, while the ad platforms receive outcome signals they can optimize toward.
For businesses that want someone watching the numbers that matter and saying what to change.
Campaigns, forms and CRM processes change, and tracking quietly breaks when they do. Each month I check that the system still works and turn the data into a short list of decisions.
Talk About Monthly SupportWhat you'll know: where your marketing money produces jobs, where it doesn't, and what to do next month.
Agencies can bring me in behind the scenes or alongside their team. You keep the media buying. I handle tracking, CRM feedback and conversion QA, with client-ready documentation.
No. I work inside the tools you already use: GoHighLevel, HubSpot, Salesforce, Pipedrive or Zoho for CRM, Google Ads and Meta for ads, plus TikTok, LinkedIn and Snapchat. Automation runs through Zapier, Make or n8n where it's needed.
Most standard setups are designed to fit within about 5 working hours once access and requirements are ready. More complex stacks need more time, which we scope before work starts.
You'll see which campaigns and keywords produce qualified leads, booked jobs and revenue, not just form fills. Google and Meta start receiving the outcomes they need to optimize toward, and match quality on your key events goes up as server-side tracking and customer data are added. That gives you the evidence to move budget toward what works.
Every setup follows your consent settings and each platform's data rules, with GDPR and CCPA in mind. Customer details such as email and phone are hashed before they reach Google or Meta, and nothing personal is sent to GA4. Privacy details
A short description is enough for the first call: your website, which ads you run, which CRM you use and what happens after someone fills in a form or calls. Please don't send passwords or access tokens through the website.
Book a call and we'll work it out from how your leads are handled today.
Most marketing reports stop at the lead. My work starts there: connecting ads, websites, forms and CRM outcomes so a business can see what happened to each lead, and which ads produced the jobs.
The approach is simple. Capture the right data, keep it connected through the whole journey, check what the platforms actually receive, and help the team work from real outcomes instead of raw lead volume.
I build around the systems a business already uses, document every important connection, and make sure the data your team relies on is accurate.
The simplest setup that reliably answers the business question. No extra tools or complexity just because they sound impressive.
Every event is checked from browser to server to ad platform, so the numbers you make decisions with are numbers you can trust.
Key events, mappings and data flows are validated and documented, so your team knows what works.
Meta, Google, TikTok, LinkedIn, Snapchat and other platforms.
Google Tag Manager, GA4, browser and server-side measurement.
Server-side GTM and Stape implementations.
GoHighLevel, HubSpot, Salesforce, Pipedrive, Zoho and other CRMs.
Meta CAPI, Google Enhanced Conversions, Enhanced Conversions for Leads and offline conversions.
Clear checks, documentation and practical measurement insight.
Training from the teams behind the tools I use. Select a certificate to view it full size.
29 Sep 2025
Passing grade
18 Jun 2026
01 Oct 2025
2 to 3 hours during working hours.
Most standard setups are designed to fit within up to 5 working hours once access and requirements are ready.
Please don't include passwords or access tokens.
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I use information you choose to provide, such as your name, email, business details and a description of your measurement problem, to respond to your enquiry and discuss relevant services. Please don't send passwords, access tokens or other sensitive credentials through the website.
The site uses Google Tag Manager, which may load analytics and advertising tags to measure visits and enquiries. The contact form is provided by HubSpot and the booking calendar by zcal, each under its own privacy policy.
Browser and server-side measurement should be implemented with appropriate consent, data minimization and platform requirements in mind. Where GDPR, CCPA or other privacy rules apply, the implementation should be reviewed against the business's actual legal and operational requirements. This website does not provide legal advice.
Marketing and CRM systems such as Meta, Google, TikTok, LinkedIn, Snapchat, GoHighLevel, HubSpot and others have their own policies and data-processing requirements. The right configuration depends on each client's setup and jurisdiction.
Email hello@souravanalytics.com.