Hello 👋

I work with Meta Tracking (Pixel + Conversions API) for SaaS projects and subscription models. I understand the architecture of tracking and work in conjunction with development (frontend + backend), not just from the advertising cabinet side.

🔧 Experience in implementing CAPI

I have implemented Conversions API for:

SaaS with subscription through Stripe Checkout
…
EdTech platforms (trial → subscription)

B2B service with email confirmation flow

Results:

Increase in Event Match Quality to 8–9/10

Reduction in conversion loss after iOS 14.5

Stabilization of optimization for trial / paid subscription

⚙ How I solve deduplication of Pixel + Server

I use the standard Meta scheme:

Generation of event_id on the frontend

Transmission of the same event_id:

to Pixel (browser)

to CAPI (server-side)

Control of matching event_name + event_id

Additionally:

Verification through Test Events

Logs on the backend side

Separate validation of Stripe webhook events

🧠 Experience with SaaS / subscription

I have worked with:

Free trial → Paid subscription

Stripe Checkout + webhook

Email confirmation as a mandatory step before activation

Optimization of campaigns for:

Trial Started

Activated Account

Subscription Created

I understand the difference between marketing events and real business events, and I build the structure specifically for LTV and payment, not just for registration.

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Hello! It is important to build the right architecture (front + back), deduplication, and quality matching so that Meta is optimized for trial/subscribe, not for noise actions.

My approach for your project:
- Event architecture: I align the event taxonomy scheme (registration -> email_confirmed -> stripe_checkout_start -> stripe_checkout_success/thank_you) and create a clear correspondence between Pixel and CAPI, so that each event has one source of truth and is not duplicated.
- Pixel + Server deduplication: I set up event_id on the front end, pass it to the back end, and duplicate it in CAPI, so that Meta correctly deduplicates browser/server (plus control of event_name, timestamp, source_url).
- Event Match Quality: I check fbp/fbc, collect user_data (email/phone/external_id) with hashing, set up advanced matching, and look in Events Manager to see where the match is "failing."
- Aggregated Event Measurement: I set priorities according to your business goals (trial/subscription), check domains, and prepare a campaign optimization scheme for real conversions, not intermediate clicks.
- Reconfiguring ad optimization: I transition campaigns to events that actually correlate with revenue (trial start, subscribe), checking attribution and signal stability.

… Experience: I have practical experience implementing Meta CAPI in conjunction with development for subscription model products, where critical Stripe flows, email confirmation, and server-side events are involved.

Answers to your questions:
- Examples of CAPI implementation: I have done integrations through server-side (backend) with the transfer of user_data + event_id, validation in Test Events, and achieving stable EMQ.
- How I solve deduplication: one event_id is generated on the front end, passed to the back end, and used in both browser event and server event for one event_name, so that Events Manager sees them as one event.
- Experience with SaaS/subscription: I have worked with funnels registration -> confirmation -> trial -> subscription, optimizing for events that reflect real value.

I can connect in conjunction with your dev: we will go through the flow, agree on the event scheme, and fix deduplication/matching. We will discuss the details of the process and timelines in private messages.

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Hi,

I’m a Meta Pixel + Conversions API (CAPI) specialist with hands-on experience building tracking architectures for SaaS platforms together with frontend and backend teams, not just ad setup.

I implement hybrid Pixel + Server tracking where events are sent from the frontend (post-landing, registration, in-app actions), backend (email confirmation), and Stripe flows (trial start, thank-you page, webhooks). Deduplication is handled by a shared event_id passed from browser to server, ensuring clean Pixel + CAPI matching with no duplicates.

I optimize Event Match Quality using fbp, fbc, and hashed user data, validate via Events Manager, and configure Aggregated Event Measurement around real business events. Campaign optimization is aligned to trials and subscriptions on Meta Platforms, not soft funnel steps.

Best,
… Jeo