Real systems. Real outcomes. Built to run 24/7—alerts, routing, reporting, and guardrails included.
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About Me
I started my career in performance marketing, managing data-driven campaigns with over $250K+ in ad spend. Through this journey, I learned a fundamental truth: you simply
cannot scale growth if your operations aren't scalable.
Even the best ad creative won't save a business if the team is losing "15 hours" a week to manual
reporting,
or if hot leads are waiting hours for a response. Operational inefficiencies are silent leaks that drain
both time and budget.
So I started building systems to fix it.
Now I build automation systems that eliminate repetitive work—reporting, lead routing, budget checks,
enrichment, QA—and keep your growth engine running 24/7.
What I Offer
My Services
Automation audits
Growth Automation Audit (ROI-First)
You know you're wasting time. You just don't know where to start.
We map your current workflow—how ads get launched, how leads get handled, how reporting gets done, how
your CRM gets updated. Then I identify the 3-5 highest-ROI automations you can deploy fast.
You'll walk away with:
A workflow plan showing what gets automated first (and why)
Tool stack recommendations (Zapier vs. Make vs. n8n) based on your budget and complexity
Quick wins you can implement in 2 weeks or less
Guardrails for reliability—logging, error handling, and approvals where needed
Perfect if: You know you're leaking time or budget but want clarity
before building anything.
Most audits uncover 10-15 hours of weekly waste that can be eliminated in the
first month.
Ad Spend & Budget Alerts
Ad Spend Guardrails & Budget Alerts
Your ad account burns budget at 2 a.m. Nobody notices until morning. You just wasted
$2,000.
Sound familiar?
I build always-on monitoring systems that watch your KPIs and take action automatically:
What it does:
Monitors CPA, ROAS, impression share, or custom KPIs every 15 minutes
Pauses campaigns automatically when metrics exceed thresholds
Sends instant Slack/email alerts with campaign details and current performance
Logs every action for review (nothing disappears)
Reopens campaigns automatically when conditions recover (or waits for approval)
Built for: Meta Ads + Google Ads + Shopify + Slack/Email dashboards
One e-commerce client spending $40K/month saved
$18K in 30 days just from catching broken campaigns faster.
The system never sleeps. Your budget stops leaking.
Lead Enrichment & Smart Routing
Lead Enrichment & Smart Routing
Your leads sit in an inbox. Nobody knows if they're qualified. Sales chases dead ends while hot prospects
go cold.
Here's what should happen instead:
Every lead gets enriched, scored, and routed automatically—within 60 seconds of submission.
The workflow:
Form submission or webhook fires
Enrichment layer pulls company data, firmographics, or behavior signals
AI scores the lead 1-10 based on fit, intent, and urgency
Clean record gets pushed to HubSpot/Salesforce/Sheets with full context
High-intent leads (8+) trigger instant Slack alerts to the right rep
Lower scores enter nurture sequences automatically
The result: Sales stops chasing spreadsheets. Marketing gets attribution. Everyone sees pipeline in real
time.
One B2B team reported 31% higher close rates after routing 8+ scored leads directly to sales
instead of letting them sit in a queue.
This turns "inbox chaos" into a measurable pipeline—without extra admin work.
AI Content & Creative
AI Content & Creative Ops for Marketing Teams
Your media buyer wants to test 30 new angles this week. Your copywriter can deliver 8.
So you test fewer angles. Velocity dies. Performance stagnates.
Here's the fix:
I build prompt chains + structured templates that generate ad copy variations, hooks,
and
campaign messaging—then route outputs to Sheets/Docs for review.
How it works:
Input your offer, audience, and proven angles into a form
ChatGPT generates variations (headlines, body copy, hooks, CTAs)
Output lands in a review sheet with consistent naming conventions
Approved variants get pushed to ad accounts or exported for upload
The output:250+ variants in the time it used
to
take for 10. Same team. Zero new headcount.
Great for agencies and in-house teams running multi-account testing. One agency scaled
from 4 accounts to 11 without hiring more writers.
Speed wins. This gives you speed.
Reporting & Attribution Pipelines
Reporting & Attribution Pipelines
Your CRM shows 847 leads. Your ad platforms say 1,200 conversions. Google Analytics shows
something else.
Which number is real? Nobody knows—because the data doesn't connect.
I build end-to-end reporting systems that connect GA4/GTM/BigQuery + ad platforms + CRM
so
you can see what's actually driving revenue.
What you get:
Server-side tracking that survives iOS 14+ and cookie blockers
Attribution pipelines that trace revenue back to the exact ad/campaign
Dashboards that show performance across platforms in one view
Weekly exec summaries delivered automatically to Slack/email
Alerts when tracking breaks or data gaps appear
The difference: You stop making budget decisions blind. You know
which
campaigns are profitable, which are breaking even, and which need to be killed.
One client found $20K in previously untracked revenue after
we
connected their CRM to their ad platforms. That changed their entire budget strategy.
From capture to close—finally measurable.
E-Commerce Automation
E-Commerce Automation
You're running ads for a product that's out of stock. Nobody paused the campaign. You
just
wasted $400 in 6 hours.
Or your pricing changed in Shopify but your product feed still shows the old price. Ads get disapproved.
Sales stop.
This shouldn't be manual work.
I build dynamic product feed systems that sync inventory, pricing, and product data
automatically across Meta, Google, TikTok, Amazon, and dashboards.
What it handles:
Inventory checks → pause ads when stock drops below threshold
Price updates → sync across all platforms instantly
The result: Your store stays accurate everywhere. Your ads don't waste
budget on unavailable products. And you don't need someone checking inventory manually every morning.
One Shopify store running $20K/month in ads saved 12 hours/week just from automating inventory monitoring.
Customer Support AI
AI-Powered Customer Support Automation
Your support team answers the same questions 100 times a day. "Where's my order?" "What's
your return policy?" "Do you ship internationally?"
I build AI chatbots that handle repetitive inquiries across your site, Instagram,
Facebook, and email—instantly. Complex issues get routed to your team automatically.
What it does: Order tracking, return questions, shipping info, product
recommendations, 24/7 responses.
The result:60-70% fewer support tickets.
Sub-2-minute response times. Your team handles real problems only.
Cart Recovery
Abandoned Cart Recovery System
73% of carts get abandoned. Most stores send one generic
email and give up.
I build smart recovery sequences that personalize messaging based on cart value,
customer history, and behavior—across email and SMS.
What it does: Multi-step sequences, dynamic discounts, urgency
triggers, A/B tested timing.
The result: Recover 15-25% of lost revenue on
autopilot.
Inventory Forecasting
Smart Inventory Forecasting & Alerts
You're either out of stock mid-campaign or sitting on $10K of dead inventory.
I build forecasting systems that predict demand, alert before stockouts, and recommend
optimal reorder timing.
What it does: Demand predictions, low-stock alerts, overstock
warnings, seasonal analysis, reorder recommendations.
The result: No more stockouts on best-sellers. No cash tied up in slow
movers.
Review Collection
Review Collection Automation
Reviews build trust. But manually requesting them gets ignored.
I automate review requests at the perfect post-purchase moment across Google,
Facebook,
and Trustpilot—with negative review alerts for damage control.
What it does: Timed review requests via email/SMS, multi-platform
collection, auto-display on site.
The result:3 to 5 times more reviews in 90
days.
Better conversion rates from social proof.
Dynamic Pricing
Dynamic Pricing & Promotion Engine
Your competitor dropped prices 15%. You found out when sales tanked.
I build systems that monitor competitor pricing, automate promotions, and test
discount
strategies—without daily manual work.
What it does: Competitor tracking, scheduled promotions, personalized
pricing, flash sales, bundle offers.
The result: Stay competitive automatically. 20-30% higher average order value.
Email & SMS Marketing
Email & SMS Marketing Automation
You're leaving 30-40% of revenue on the table without
automated
flows.
What it does: Welcome flows, cross-sells, re-engagement, loyalty
campaigns, browse abandonment.
The result: Higher lifetime value. More repeat buyers. Revenue without
more ad spend.
Fraud Detection
Fraud Detection & Chargeback Prevention
Fraudulent orders cost you product, shipping, chargeback fees, and your payment
processor's trust. One bad month can get your account flagged.
I build automated fraud screening that flags high-risk orders before they ship—using
AI
to analyze order patterns, location mismatches, and suspicious behavior.
What it does: Real-time risk scoring, suspicious order alerts,
auto-hold
on high-risk transactions, blocklist management, chargeback tracking.
The result:70-80% reduction in fraudulent
orders. Lower chargeback rates. Protected payment processor standing.
Sales Analytics
Sales Analytics & Performance Dashboards
Your data is scattered across Shopify, Google Analytics, Meta Ads, and spreadsheets.
You're making decisions blind or wasting hours building reports.
I build centralized dashboards that pull all your metrics into one place—with
automated
daily/weekly reports sent to your inbox or Slack.
What it does: Real-time revenue tracking, product performance
analysis,
ad spend vs. ROAS, customer LTV calculations, automated reports.
The result: See your entire business at a glance. Make data-driven
decisions in minutes, not hours.
Product Feed Optimization
Product Feed Optimization & Enrichment
Your product titles are generic. Descriptions are thin. Google can't figure out what
you're selling, so your Shopping ads underperform.
I automate product data enrichment—adding keywords, optimizing titles, generating SEO
descriptions, and ensuring feeds meet platform requirements.
What it does: Auto-generated SEO titles, keyword-rich descriptions,
missing attribute fill-ins, category mapping, image optimization.
The result: Better ad performance. Higher organic rankings. Approved
feeds across all platforms.
Workplace Automation
Workplace & Team Automation
Your team spends hours every week on status updates, manual notifications, and "work about work."
I build internal automation systems that handle the heavy lifting of team operations.
What it covers:
Automated Slack/Teams alerts for key business events
The result: Less time in meetings, more time on high-value work. Zero
balls dropped on internal requests.
Automated Sales Pipelines
Automated CRM & Sales Pipelines
Leads are falling through the cracks because following up is manual and time-consuming.
I build "no-lead-left-behind" systems that automate the entire sales journey.
Key Features:
Instant lead response & appointment booking flows
Automated follow-up sequences based on CRM stage
Sales rep notification & assignment logic
Pipeline health monitoring & revenue forecasting sync
The result: 100% lead coverage. Faster deals. Sales reps focus only on
the most qualified opportunities.
Custom AI Agents
Custom AI Agents — Built for Your Exact Workflow
Your customer asks "Where's my order?" at 11pm. Nobody's awake to respond. By morning, they've complained
on social media and requested a refund.
Or your sales team spends 3 hours/day answering the same questions. "Does this work with X?" "What's the
price difference?" "Can I get a custom quote?"
This shouldn't require human time.
I build custom AI agents that handle repetitive conversations, answer questions instantly (24/7), and
escalate complex issues to humans—so your team focuses on problems that actually need them.
What it handles:
Customer support → answer FAQs, track orders, process returns, handle refund requests
Data processing → extract info from documents, categorize tickets, tag conversations
Internal Q&A → answer employee questions about policies, procedures, documentation
The result: Your support inbox gets 200 questions/day. Your AI agent handles 140 of them
instantly—order status, return policy, product specs, basic troubleshooting. The remaining 60 route to
your team with full context, so they solve complex issues faster.
Explore My
Experience
Automation & No-Code Systems
Zapier
Advanced
n8n (Self-Hosted/Cloud)
Advanced
Webhooks + HTTP Requests
Advanced
Make
Advanced
Airtable/Google Sheets
Advanced
HubSpot/Salesforce
Advanced
Analytics, Tracking & Data
Google Analytics
Advanced
GTM (Server-Side)
Advanced
Looker Studio Dashboards
Advanced
JSON + Python (Basic Scripting)
Advanced
Browse My Recent
Projects
Automated CPA Kill-Switch
Stack: Zapier/Make • Meta Ads • Google Ads • Slack
Automated CPA Kill-Switch
Your CPA spikes at 2am. Nobody's awake. By morning, you've burned $2,400 on traffic
that'll never convert.
This system watches your accounts 24/7 and takes action automatically.
What it does: Monitors CPAs in real time (every 15 minutes). When costs exceed your
target threshold, it pauses the ad set or campaign immediately, alerts your team in Slack with performance
details, and logs every action to Google Sheets for review.
When performance recovers, campaigns can resume automatically—or wait for manual approval, your choice.
The proof: One e-commerce client spending $50K/month saved $15K in 30 days from wasted
spend. Just from catching issues faster.
Build time: 4-6 hours depending on platform complexity and alert rules.
Technologies: Zapier/Make • Meta Ads • Google Ads • Slack
Creative Factory — 50+ Ad Variations in Minutes
Stack: ChatGPT • Google Sheets • Multi-Account Ads
Creative Factory — 50+ Ad Variations in Minutes
Your media buyer wants to test 30 angles. Your copywriter can deliver 8. So you test
less, iterate slower, and wonder why competitors outpace you.
This system eliminates the bottleneck.
How it works: A structured prompt chain generates ad copy variants from your inputs
(offer,
audience, proven angles). Outputs land in a review sheet with consistent naming conventions. One click
pushes approved variants to your ad accounts or exports them for upload.
The output: 50+ variants in minutes. 70% faster creative cycle for multi-account teams.
Same team size—zero new headcount.
One agency scaled from managing 4 accounts to 11 without hiring more copywriters. Their clients got more
testing, faster iteration, and better performance—all from the same internal team.
Build time: 3-4 hours for initial setup. Then it's just feeding inputs and reviewing
outputs.
Stack: ChatGPT • Google Sheets • Multi-Account Ads
AI Lead Scoring Engine — Score, Route, Close Faster
Stack: HubSpot • Make • OpenAI • Slack
AI Lead Scoring Engine — Score, Route, Close Faster
Your leads sit in a queue. Nobody knows which ones are hot. Sales wastes time on
tire-kickers while real buyers go cold.
This system fixes that instantly.
The workflow: Every inbound lead gets enriched with company data and behavior signals. AI
scores them 1-10 based on fit, intent, and urgency. High-intent leads (8+) route to sales instantly via
Slack.
Lower scores enter nurture sequences automatically. Everything lands in HubSpot with full context.
Reported outcome: 31% higher close rates for B2B teams routing 8+ scored leads directly
to
sales instead of letting them sit in a queue.
Build time: 5-7 hours depending on CRM complexity and scoring criteria.
Stack: HubSpot • Make • OpenAI • Slack
CRM Enrichment + Attribution — Track ROI End-to-End
Technologies: Meta CAPI • HubSpot/Salesforce • Webhooks
CRM Enrichment + Attribution — Track ROI End-to-End
Your CRM shows leads but no context. Which ad did they click? Which campaign drove
them?
What UTMs were attached? Nobody knows—so you're making budget decisions blind.
This system connects everything.
What it does: When someone converts, a webhook fires with UTM parameters, campaign ID, ad
set, creative, and click data. Enrichment layer adds company info or behavior signals. Clean record gets
pushed to your CRM with full attribution. When revenue closes, you can trace it back to the exact ad that
started the journey.
The result: One B2B client found $20K in previously untracked revenue after we connected
their CRM to their ad platforms. Deals that were attributed to "direct" or "unknown" suddenly had clear
sources.
What you get: 500+ leads/month enriched. Closed-loop reporting that actually works.
Better
budget decisions.
Build time: 6-8 hours depending on CRM complexity and platform integrations.
Meta CAPI • HubSpot/Salesforce • Webhooks
LinkedIn Scraper Without Paid APIs (Compliance-Aware)
Technologies: n8n • Search • Extraction • Google Sheets
LinkedIn Scraper Without Paid APIs (Compliance-Aware)
Your team needs to research 500 target companies. Manual copy/paste from LinkedIn takes
20+
hours.
This system does it automatically.
How it works: Collects targeted LinkedIn and company data, filters results based on your
criteria, and exports clean rows to Google Sheets. Includes pagination, deduping, and error-handling so
you
don't get duplicate or incomplete records.
Compliance note: I build with client-approved data rules, rate limits, and consent-based
sources. You decide the boundaries—then the system follows them. I'm not scraping personal emails or
violating
TOS—just collecting publicly visible company info for research.
The output: Hours of manual work done in minutes. Clean data. No copy/paste nightmares.
Build time: 4-6 hours depending on data requirements and filters.
Technologies: n8n • Search • Extraction • Google Sheets
Ad Library Scraper — Capture Competitor Creative Fast
Stack: Zapier/Make • Apify • Google Sheets
Ad Library Scraper — Capture Competitor Creative Fast
You want to see what competitors are running. So you manually search Facebook's Ad
Library,
screenshot ads, copy headlines into a doc, and repeat 100 times.
This system captures everything automatically.
What it does: Monitors Facebook Ad Library for your target advertisers. Captures ad copy,
creative, CTA, start date, landing page, and other metadata. Logs everything into Google Sheets for
analysis.
Great for: Creative research, swipe files, market monitoring, and staying ahead of what's
working in your space.
Build time: 6+ hours depending on filters, output format, and how many advertisers
you're tracking.
Stack: Zapier/Make • Apify • Google Sheets
My Featured Work
Portfolio
AI Sales Email Sequence Generator
Researches prospects + writes a 5-email sequence automatically
Customer Review Monitoring & Response
Detects reviews + drafts responses using sentiment analysis
Webinar Follow-Up Automation
Turns topics into a ready-to-send newsletter
Newsletter Automation (AI + Research)
Turns topics into a ready-to-send newsletter
Technical Analyst Agent
Pulls chart data + generates analysis on demand
Inventory Alert & Ad Pause System
Stops ad waste when products go out of stock.
AI Sales Email Sequence Generator
Stop writing cold email sequences manually. This system does the research and writes the
entire sequence for you.
How it works:
Inputs: Company name, pain point, your offer
Automation: Pulls triggers/news about the prospect → enriches with company data →
generates a 5-email sequence tailored to their situation → outputs to Google Doc or your outreach tool
Best for: Agencies, SaaS companies, B2B services teams
One rep used this to generate 40 personalized sequences/week instead of 6. Same quality. 7× the volume.
Customer Review Monitoring & Response
You're getting reviews across Google, Trustpilot, Yelp, Facebook. Someone has to monitor them
all, respond fast, and escalate negative feedback.
This system handles it 24/7.
The workflow: Monitors review platforms → AI analyzes sentiment → auto-thanks positive reviews
→ sends Slack alert + drafts response for negative reviews → waits for approval → logs everything to Airtable →
delivers weekly summary report
The result: Reviews get handled in hours, not days. Your team focuses on escalations. Customers
feel heard.
Webinar Follow-Up Automation
You ran a webinar. 200 people registered. 80 attended. 40 left early. Now what? Manual
follow-up takes hours. This system does it instantly.
The workflow: Segments attendees into: attended full session, no-show, left early. Sends
behavior-based emails to each group. Hot leads (full attendance + high engagement) get a Calendly booking link.
Medium leads enter a nurture sequence. Everything routes to your CRM with Slack notifications.
The difference: Personalized outreach at scale. No manual sorting. Better conversion.
Newsletter Automation Details
You want to send weekly newsletters. But researching, writing, editing, and formatting takes
6+ hours/week.
This system compresses it to 30 minutes.
The workflow: Form submission with topic → planning → research using web search or RSS feeds →
AI drafting → editing pass → title creation → newsletter sent to your list + logged for analytics
Best for: Thought leaders, agencies, consultants who want consistent content output without
hiring a full-time writer.
Technical Analyst Agent Details
You need market analysis fast. Checking charts, pulling data, and writing summaries manually
takes 45 minutes.
This agent does it in 2 minutes.
The workflow: Telegram trigger (you send a command) → fetches chart data from your source →
analyzes with AI → sends structured summary back to Telegram with key levels, trends, and signals
Best for: Traders, analysts, or anyone who needs fast insights without manual chart work.
Inventory Alert & Ad Pause System Details
You're running ads for a product that's out of stock. Nobody paused the campaign. You just
wasted $600 in 6 hours.
This system prevents that automatically.
The workflow: Shopify inventory checks run every 30 minutes → when stock drops below threshold
→ pauses Meta/Google ads for that product → sends Slack/email alerts → logs to Sheets dashboard → auto-resumes
ads when product restocks
The proof: One store running $80K/month in ads saved 12 hours/week and eliminated out-of-stock
ad waste.
In-Depth Analysis
Case Studies
E-Commerce
Stop Wasted Spend Automatically
$18K saved30 days
18% less wasteacross 8 accounts
CPA spikes and broken tracking can burn budget fast. This system pauses campaigns, alerts Slack, and logs
every action.
Content Creation
250+ Ad Variants Without the Bottleneck
50+ variantsweekly output
70% fasterproduction cycle
Generate structured copy variations, keep naming consistent, and speed up testing across accounts
Google analytics
Find the Revenue You're Missing
500+ leadsenriched monthly
$20K founduntracked revenue
Every lead arrives with UTMs, campaign IDs, and clean attribution—so ROI is measurable end-to-end.
AI Automation
Automated Holiday Promotions That Convert
$18K → $50KQ4 revenue
27% recoveryabandoned cart
Segment customers automatically and trigger SMS and email sequences based on behavior and RFM—without
manual
campaigns.
Google Analytics
Launch Campaigns 5× Faster
80% fastersetup time
9 minper launch baseline
Generate UTMs automatically and push them where they belong—so launches don't become a checklist
nightmare.
Travel
Weekly Reporting Delivered Automatically
Every Monday at 8 a.m.auto delivery
15-min responsefaster reactions
Automated summaries to stakeholders so performance is visible without meetings or manual decks.
Stop Wasted Spend Automatically
The Challenge: This e-commerce brand was spending $50K/month across 8 ad
accounts. Their biggest problem? High CPA periods weren't caught quickly enough.
Someone would check performance at 9am and discover a campaign had been running with a $73 CPA since
midnight—when the target was $35. By then, they'd already wasted $2,400.
It happened 2-3 times per month. The math was brutal: $7,200/month in preventable waste.
The Solution: I built an always-on monitoring system using Zapier + Meta
Ads API + Google Ads scripts + Slack webhooks.
Here's what it does:
Checks CPA every 15 minutes across all active campaigns
When CPA exceeds the target threshold → pauses the campaign automatically
Sends instant Slack alert with campaign name, current CPA, spend today, and a direct link to the campaign
Logs every action to Google Sheets (nothing disappears)
When CPA drops back below target → campaigns can resume automatically (or wait for approval)
The guardrails were critical. Every pause got logged. Every alert included context. And the team could review
everything in one dashboard.
The Result: In 30 days the system caught 11 CPA spikes that would've burned $18,000 in wasted
spend. That's an 18% reduction in waste across all accounts—without changing creative, targeting, or strategy.
Response time went from "next morning" to 2 minutes. And the team slept better knowing the system was watching.
Build time: 5 hours. ROI in week one.
50+ Ad Variants Without the Bottleneck
The Challenge: This agency was managing 6 ad accounts. Their media buyers
wanted to test 30 % more angles per client every week to keep creative fresh and beat platform fatigue.
The problem? They had one copywriter. She could deliver 8-10 quality variants per week before
burning out.
So they tested fewer angles. Iteration slowed. Performance stagnated. And competitors who tested more
aggressively started winning.
The Solution: I built a creative production system using ChatGPT + Google
Sheets + workflow automation.
Here's the workflow:
Strategist fills out a brief: offer, audience, 3-5 proven angles to test
ChatGPT generates variations for each angle (headlines, body copy, hooks, CTAs)
Outputs land in a review sheet with consistent naming conventions (Campaign_Angle_Variant_01)
Copywriter reviews and approves (still human QA)
One click exports approved variants or pushes them directly to ad accounts
The structured prompts were the key. Instead of "write me ad copy," the prompts followed a formula: tone +
audience pain + offer + CTA structure. This kept quality consistent.
The Results: Weekly output went from 8-10 variants to 250+ variants. The creative cycle
compressed by 70% from brief to testable ads in 2 days instead of 7.
Same team. Same copywriter. Just faster production.
The agency scaled from 4 accounts to 11 accounts without hiring more writers. Their clients got more testing,
faster iteration, and better performance.
Build time: 4 hours for initial setup. Then it's just feeding inputs.
Find the Revenue You're Missing
The Challenge: This B2B SaaS company was spending $40K/month on ads but
couldn't prove ROI.
Their CRM showed 5000+ leads per month. But every lead came in with zero context. No UTMs. No campaign IDs. No
ad set data. Just a name and email.
Sales would close deals, but nobody knew which campaign drove them. So the attribution report said "Direct" or
"Unknown" for 40% of revenue.
The growth team couldn't make confident budget decisions. Were they scaling winners? Killing losers? Nobody
knew.
The Solution: I built a CRM enrichment pipeline using Meta CAPI + webhooks
+ HubSpot custom properties.
Here's what happens now:
Someone converts on an ad or landing page
Webhook fires with UTM parameters, campaign ID, ad set, creative, and click timestamp
Enrichment layer adds company data (industry, size, revenue) for B2B leads
Clean record gets pushed to HubSpot with full attribution data in custom properties
When revenue closes → sales reps can see exactly which campaign, ad set, and creative started the journey
The system also included duplicate detection (same lead, multiple touches) and UTM validation (catches broken
tracking before data gets polluted).
The Result: In 90 days, they enriched 10K+ leads with full attribution data.
The big win? They found $8000 in revenue that was previously attributed to "Direct" or "Unknown." These were
deals that came from paid ads—but the CRM didn't know it.
With clean data, they killed 3 underperforming campaigns and scaled 2 winners by 40%. Budget decisions became
faster and more confident.
Build time: 7 hours for full setup and testing.
Automated Holiday Promotions That Convert
The Challenge: This Shopify store had 15,000 customers but no segmentation
strategy. Every promotion went to the entire list.
During Q4 (Black Friday, Cyber Monday, Christmas), they wanted to run behavior-based campaigns:
VIP customers get early access
Cart abandoners get recovery sequences
Lapsed buyers get win-back offers
But building these manually in Klaviyo would take 40+ hours of setup. And they didn't have 40 hours before
Black Friday.
The Solution: I built an automated segmentation + campaign trigger system
using ChatGPT + Zapier + Klaviyo.
Everything was pre-built before the holiday rush. When Black Friday started, the system just ran.
The Results: Q4 revenue jumped from $80K (previous year) to $150K. That's an 86% increase.
Automated cart recovery rate hit 27% (vs. 14% industry average). VIP customers converted at 3× the rate of the
general list because they got early access and personalized messaging.
And the team didn't manually send a single campaign during the rush. It all fired automatically.
Build time: 8 hours for full segmentation + campaign setup.
Launch Campaigns 5× Faster
The Challenge: This performance marketing team was launching 20+ campaigns
per week across Meta, Google, and TikTok.
Every launch required:
Manually creating UTM parameters
Copying them into 6+ different places (ads, tracking sheets, dashboards)
Double-checking for typos (because one broken UTM ruins attribution)
Updating the master campaign tracker
Average time per launch: 45 minutes. For 20 launches/week, that's 15 hours of manual work. And mistakes still
happened. A typo in a UTM meant data disappearing into "Direct" traffic.
The Solution: I built a UTM generation + distribution system using Airtable
+ Google Apps Script + API pushes.
Here's the workflow:
Marketer fills out a simple form (campaign name, source, medium, offer)
Airtable generates UTMs automatically using a standardized naming convention
Script pushes UTMs to:
The ad platforms (via API)
GA4 (via import)
The tracking dashboard (auto-update)
Slack (confirmation message)
Everything gets logged in the master campaign tracker
No more copy/paste. No more typos. No more 45-minute launches.
The Result: Campaign setup time dropped by 80%. The new baseline: 9 minutes per launch.
For 20 launches/week, that's 12 hours saved. Every week.
And attribution stayed clean—because UTMs were generated consistently with zero human error.
Build time: 6 hours for full setup + API integrations.
Weekly Reporting Delivered Automatically
The Challenge: This growth team reported to 4 stakeholders: CMO, CFO, VP of
Sales, and the CEO.
Every Monday, someone spent 3 hours pulling data from GA4, Meta Ads, Google Ads, HubSpot, and Shopify—then
building a summary deck in Google Slides.
By the time stakeholders got the report (usually Tuesday afternoon), decisions were already 24 hours late.
The Solution: I built an automated reporting pipeline using Looker Studio +
Slack webhooks + scheduled scripts.
Here's what it does:
Every Sunday at 11pm, the system pulls performance data from all platforms
Looker Studio dashboard updates automatically with weekly trends, top performers, and red flags
Monday at 8am sharp → Slack delivers the summary + dashboard link to the stakeholder channel
No manual work. No delayed decisions. No 3-hour report-building sessions.
The Results: Stakeholders now have performance visibility every Monday at 8am—without anyone
lifting a finger.
Decision response time improved from 24+ hours to 15 minutes. When something needed attention, the team could
react Monday morning instead of Tuesday afternoon.
The analyst who used to build reports manually? She now focuses on deeper analysis and optimization—not
copy/pasting data into slides.
Build time: 5 hours for full dashboard + automation setup.
What Clients Say
Testimonials
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"We stopped wasting budget within days. The auto-pause rules paid for themselves fast."
SM
Sarah Mitchell
CTO, upwork agency
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"The lead routing is instant now. Sales finally focuses on calls—not spreadsheets"
DR
David Ross
Product Manager, freelancing guru
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"Creative output exploded. We test more angles every week with the same team."
EL
Emma Lewis
youtuber
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"Attribution is finally clean. We can see what's driving revenue and scale with confidence."
MJ
X. James
Amazon Seller
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"The system is reliable—logging, alerts, and approvals built in. That's what we needed."
KP
Karen Patel
freelancer
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"Fast build, clear handoff, and the workflows are easy to maintain."
TR
Tom Reynolds
shopify seller
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Let’s Build Something Great
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