Performance advertising across Meta, Google, ChatGPT and X
Neuronex engineers and manages high-impact paid acquisition campaigns across Meta, Google Ads, ChatGPT sponsored discovery, and X backed by server-side tracking, creative iteration, and closed-loop revenue attribution.
What this means in practice
Modern paid acquisition is an engineering discipline. It combines high-intent audience segmentation, rapid creative testing, and resilient server-side tracking (Meta CAPI, Google Enhanced Conversions, and first-party identity stitching) to deliver reliable, measurable customer acquisition across search, social, and conversational AI channels.
Problems this work is designed to solve
- Ad spend wasted on low-intent clicks without reliable server-side tracking
- Signal loss from browser cookie deprecation and iOS privacy controls
- Disjointed campaigns across Meta, Google, X, and emerging AI search channels
- Lack of multi-touch attribution connecting ad clicks directly to closed revenue in your CRM
Typical delivery scope
Multi-Platform Campaign Management
Full-funnel campaign architecture, bidding optimization, and creative testing across Meta, Google Ads, ChatGPT discovery, and X.
Server-Side Tracking & Conversions API
Engineered Meta CAPI, Google Enhanced Conversions, and server-to-server event pipelines to recover lost signals and maximize algorithmic bidding efficiency.
Conversational & AI-Native Advertising
Early-mover placements and sponsored discovery across ChatGPT and conversational search ecosystems to capture high-intent prompt queries.
Attribution & Revenue Pipeline Integration
Direct connection of ad touchpoints to your CRM, database, and first-party analytics for full-funnel LTV, CAC, and payback visibility.
How a project moves from idea to production
Audit & Infrastructure
Audit historical ad accounts, implement server-side tracking (Meta CAPI / Google Enhanced Conversions), and define conversion milestones.
Launch & Channel Calibration
Deploy targeted campaigns across Meta, Google, ChatGPT, and X with structured creative angles, audience segmentation, and bidding rules.
Scale & Revenue Attribution
Optimize spend toward highest-LTV segments, scale winning creatives, and feed offline conversion signals back to ad platforms for compound performance.
Questions teams ask before starting
Which advertising platforms do you support?
We actively engineer and run campaigns across Meta (Facebook & Instagram), Google Ads (Search, Performance Max, YouTube), ChatGPT & AI search ecosystems, and X (Twitter). We select the optimal channel mix based on where your high-intent buyers congregate.
How do you handle tracking in a privacy-first, cookie-restricted landscape?
We deploy server-side Conversions APIs (Meta CAPI, Google Enhanced Conversions) and first-party identity stitching. Events are dispatched from your server rather than relying solely on vulnerable browser cookies, preserving measurement accuracy and algorithmic optimization.
How does advertising in ChatGPT and AI channels work?
As conversational AI platforms roll out sponsored search, brand citations, and discovery features, we engineer contextual placement strategies to capture high-intent prompt queries and position your solution directly within the user's research flow.
Can you connect ad performance directly to our CRM revenue?
Yes. We bridge ad campaign touchpoints directly into your CRM (HubSpot, Salesforce, or custom backends) to calculate true customer acquisition cost (CAC), pipeline velocity, and closed-won revenue rather than stopping at superficial vanity clicks.