AI performance operations
We build controlled AI workflows that analyze performance, prioritize action and turn commerce signals into measurable revenue improvement.
01
Store builds and rebuilds executed with AI-assisted speed—without trading away conversion architecture.
02
Autonomous agents that research, plan and execute media, merchandising and support workflows around the clock.
03
Models that read every session, flag the friction and tell you what to fix next—then prove it moved revenue.
04
A production pipeline that generates, versions and iterates ad creative at feed speed.
05
The invisible layer that removes manual work across media, catalog and reporting.
06
Signals applied at the individual level to lift repeat revenue, not just first orders.
The end goal
One AI marketing operations layer coordinating paid media, lifecycle and measurement—with a human operator in control of strategy, budgets and quality.
01 — Architecture
Four layers, one loop. Data flows up, decisions flow down, and every outcome feeds the next cycle.
Google Ads · Meta · TikTok · Shopify · GA4 · Klaviyo · CRM
Setup & execution · Flows & lifecycle · Attribution & insights
ChatGPT · Claude · Make/n8n · Rules · Human approvals
Analyze → Recommend → Execute → Measure → Learn
02 — Workflow systems
Manage campaigns from initial setup through live performance monitoring and execution.
01
Account audits, campaign structure, budgets, audiences, keywords, product feeds, creatives and conversion goals.
02
Spend, impressions, clicks, CPC, CPM, CTR, conversions, CPA, revenue and ROAS from Google, Microsoft, Meta and TikTok.
03
ChatGPT or Claude identify trends, budget waste, scaling opportunities and anomalies.
04
Daily summaries, weekly insights, monthly client reports and budget forecasts.
05
Approved budget changes, search-term exclusions, bids, campaign adjustments and creative tests.
06
Actuals vs. targets, fed back into the next decision cycle.
Automate implementation, orchestration and optimization of email and lifecycle marketing.
01
Shopify, Klaviyo, customer data, consent settings, email domains and integrations.
02
Signup forms, segments, templates, events and customer properties.
03
Welcome, abandoned cart, checkout and browse abandonment, post-purchase, replenishment, win-back and VIP flows.
04
AI-generated copy, subject lines, offers and creative briefs.
05
Attributed revenue, placed orders, conversion and click rate, deliverability, unsubscribes.
06
Test timing, segmentation, creative, offers and flow logic.
A reliable layer connecting ad spend, acquisition, orders and actual business revenue.
01
GA4, GTM, Google Ads conversions, Meta Pixel/CAPI, TikTok Pixel and ecommerce events.
02
Event firing, deduplication, purchase values, UTMs, consent and platform discrepancies.
03
Ad platforms, Shopify, CRM and email in one reporting layer.
04
New vs. returning, CAC, blended ROAS, MER, AOV, repeat rate and contribution margin.
05
Landing-page friction, checkout issues, conversion gaps and high-value segments.
06
Verified conversion and customer-quality insights sent back into acquisition and retention.
03 — Tooling
Each tool has a job. Not every workflow needs all of them—we pick the right ones for the system.
Marketing ops, data analysis, reporting, recommendations and structured execution plans
Long-context analysis, coding, complex documentation and workflow development
No-code integrations and event-driven automation
Flexible orchestration, APIs, AI agents and custom logic
Sheets automation, reporting and scheduled data processing
Live dashboards and client-facing reporting
Email/SMS lifecycle automation, segmentation and flow analytics
Website behavior, ecommerce events and acquisition analysis
Additional AI tools are added where they bring a specific capability—creative generation, research or specialized analysis.
04 — Daily operations
06:00
Yesterday's spend, sales, orders, customer mix and email revenue.
06:10
Missing records, tracking anomalies and cross-system differences.
06:20
Performance vs. goals, budgets, historical trends and profitability thresholds.
06:30
Prioritized recommendations for budgets, campaigns, flows and CRO.
Approval
Permitted updates pushed to platforms, with logs and rollback options.
Next day
Results compared to baseline to confirm what actually improved.
Human in control. Substantial budget increases, tracking changes, customer communications and irreversible actions always require explicit approval. We start with recommendations and approvals before enabling any autonomous execution.
05 — Unified dashboard
All three systems report into one daily dashboard, broken out by location, brand and channel.
Acquisition investment
Acquisition volume
Retention and repeat business
Actual business performance
Cost per new customer
Tracked revenue per ad dollar
Total revenue ÷ total marketing spend
Average order value
Lifecycle contribution
Profit after variable costs
Platform-attributed revenue stays separate from total store revenue to avoid double-counting, with consistent attribution windows and a defined source of truth for orders and customer status.
06 — Implementation
01
Audit accounts, define KPIs, standardize UTMs and validate tracking.
02
Connect ad platforms, Shopify, Klaviyo and analytics to a central sheet, database or warehouse.
03
Automate daily data refreshes and AI-generated summaries.
04
Prioritized optimization tasks with clear evidence and expected impact.
05
Platform APIs and controlled write access for approved actions.
06
Package workflows into repeatable templates per client or storefront.