Author

Matt Pattoli

Founder at Cometly

How do I send revenue data back to facebook ads through server side tracking?

Sending revenue data back to Facebook Ads through server-side tracking means using the Meta Conversions API (CAPI) to fire purchase events directly from your server, bypassing ad blockers and iOS privacy restrictions that cause browser pixels to miss conversions. This guide explains how platforms like Cometly connect your CRM and Stripe data to Meta automatically, giving you an accurate picture of which campaigns are truly driving revenue.

Matt PattoliSeptember 7, 2026

Conversion Tracking14 minute read

How do I send purchase events to meta conversion api with accurate revenue?

Sending purchase events to the Meta Conversion API with accurate revenue requires server-side event firing after payment confirmation, with correct value and currency parameters sourced from your payment processor or CRM. This guide explains how to avoid common pitfalls like duplicate events, browser-pixel misfires, and iOS tracking restrictions — and how tools like Cometly can automate accurate revenue attribution without custom code.

Matt PattoliSeptember 7, 2026

Tracking16 minute read

How do I set up server side tracking for shopify?

This guide explains how to set up server side tracking for Shopify by connecting your store to a server-side tagging or attribution platform — like Cometly — that sends conversion events directly from your server to ad platforms, bypassing ad blockers, iOS privacy restrictions, and third-party cookie limitations to ensure complete, accurate attribution data.

Matt PattoliSeptember 7, 2026

Facebook Ads15 minute read

How do I send offline conversions to facebook through the conversion api?

Sending offline conversions to Facebook through the Conversion API lets B2B and SaaS teams pass high-value events like closed deals and trial activations directly to Meta server-side, bypassing browser pixel limitations. This guide covers how to collect, match, and transmit CRM and revenue data to Facebook CAPI — both with automation platforms like Cometly and via Meta's Graph API directly.

Matt PattoliSeptember 7, 2026

Ad Tracking12 minute read

Does server side tracking improve facebook ad delivery?

Server-side tracking improves Facebook ad delivery by sending complete, accurate conversion signals to Meta's algorithm via the Conversions API, overcoming the data loss caused by iOS restrictions, ad blockers, and browser privacy settings. This guide explains exactly how it works, what pixel-only setups leave on the table, and how platforms like Cometly help B2B teams improve delivery and attribute revenue in one place.

Matt PattoliSeptember 7, 2026

Facebook Ads15 minute read

How do I deduplicate facebook pixel and conversion api events?

This guide explains how to deduplicate Facebook Pixel and Conversion API events by assigning a shared event_id to both browser and server-side events, preventing Meta from double-counting conversions. It covers step-by-step implementation, verification, and troubleshooting for B2B SaaS marketing teams running simultaneous Pixel and CAPI setups.

Matt PattoliSeptember 7, 2026

Conversion Tracking13 minute read

Why are my facebook conversions not matching my crm data?

Facebook conversions and CRM data diverge because each system measures attribution differently — Facebook relies on pixel signals and modeled data, while your CRM records only verified leads and purchases. This diagnostic guide explains the structural causes of the mismatch, how to audit your tracking setup, and how tools like Cometly can unify ad platform data and CRM events into a single, trustworthy source of truth.

Matt PattoliSeptember 7, 2026

Conversion Tracking16 minute read

How do I track conversions without third party cookies?

Tracking conversions without third-party cookies is achievable today using server-side tracking, first-party data collection, and Conversion API integrations that send event data directly to ad platforms. This guide covers the exact steps to rebuild cookieless attribution that is more accurate, ad-blocker-proof, and connected to real revenue data.

Matt PattoliSeptember 7, 2026

AI Marketing16 minute read

Attribution Data for AI Agents: 7 Strategies to Feed Your AI Better Marketing Intelligence

Attribution data for AI agents is the structured, multi-touch conversion intelligence that enables AI systems to accurately optimize ad spend, predict outcomes, and recommend revenue-driving actions. This article outlines seven practical strategies B2B SaaS teams can use to build a clean, enriched data layer — so their AI agents stop optimizing toward a distorted reality and start moving real pipeline.

Matt PattoliSeptember 7, 2026

Attribution Models16 minute read

How does first party attribution data make ai ads smarter?

First party attribution data makes AI ads smarter by supplying ad platform algorithms — like Meta Advantage+ and Google Performance Max — with accurate, complete conversion signals tied to real revenue rather than estimated browser events. Platforms like Cometly send enriched server-side data back to ad networks, enabling AI to optimize toward audiences and creatives that drive genuine business outcomes.

Matt PattoliSeptember 7, 2026

Attribution Models16 minute read

Marketing Attribution for AI-Powered Ad Buying: 7 Strategies That Actually Work

Marketing attribution for AI-powered ad buying connects every ad touchpoint to real revenue outcomes, giving machine learning platforms like Meta Advantage+ and Google Performance Max the enriched conversion signals they need to optimize effectively. This article outlines seven concrete strategies B2B SaaS teams can use to structure conversion events, select the right attribution model, and eliminate the signal gaps that cause AI-driven campaigns to underperform.

Matt PattoliSeptember 7, 2026

AI Marketing15 minute read

How do I feed warehouse conversion data into ai bidding?

Feeding warehouse conversion data into AI bidding means exporting downstream events like closed-won deals and activated accounts from your data warehouse, matching them to ad clicks via identifiers like gclid or hashed email, and pushing them back to platforms through offline conversion APIs. This gives your bidding algorithms the real revenue signals they need to optimize effectively, rather than relying on incomplete proxy metrics captured by native pixels.

Matt PattoliSeptember 7, 2026

AI Marketing14 minute read

How do I use warehouse attribution data to power ai ad agents?

This article explains how to use warehouse attribution data — including CRM events, pipeline signals, and revenue data — to feed AI ad agents on Meta and Google with enriched first-party signals, so their machine learning optimizes toward real business outcomes instead of vanity metrics. Cometly's server-side tracking and Conversion API integrations make this practical for B2B SaaS teams across six actionable strategies.

Matt PattoliSeptember 7, 2026

AI Marketing17 minute read

What attribution data should I store in my warehouse to train ai models?

To train accurate AI attribution models, you need granular, event-level data — not aggregate reports — stored in your warehouse, including every ad touchpoint, session ID, conversion event, and revenue record linked by a persistent user ID. This guide breaks down the seven critical data layers, schema decisions, and storage strategies that turn a raw warehouse into a training-ready attribution dataset.

Matt PattoliSeptember 7, 2026

AI Marketing17 minute read

Can ai agents replace manual ad campaign management?

This article examines whether AI agents can replace manual ad campaign management, detailing which tasks—like bid adjustments, budget pacing, and performance reporting—AI handles effectively, and where human judgment in strategy, creative direction, and brand decisions remains essential. For B2B SaaS marketing teams, the verdict points to a hybrid model backed by accurate attribution data.

Matt PattoliSeptember 7, 2026

AI Marketing16 minute read

What data does an ai agent need to optimize ad spend?

Optimizing ad spend with AI requires six core data types—conversion events, multi-touch attribution, revenue outcomes, audience signals, creative metrics, and cross-channel spend data. This article breaks down each data type and explains how platforms like Cometly help B2B SaaS teams build the complete data pipeline AI bidding algorithms need to perform.

Matt PattoliSeptember 7, 2026