CURRENTLY OPEN TO ROLES
Marketing Analyst · Audit Associate · Tax Associate
Remote Preferred · Available Fall 2026
DANE DOLPH
marketing operations • business analyst
// HELLO
I'm a marketing operations and business analyst from Colorado Springs. I run two client accounts: paid media, CRM build-outs, automation pipelines, and the reporting that ties it all back to revenue.Before this, I scaled a dropshipping operation to ~10,000 units before exiting. Before that, I ran the floor as general manager of a vape shop. The pattern: I find the lever in a system and pull it.
// THE WORK
I sit between marketing and engineering. I can run Meta Ads Manager and build a Make.com pipeline that scores leads with GPT-4 in the same afternoon. That combination is rare and it's where I do my best work.Current focus: finishing a BS in Business Administration with an Information Systems emphasis at UCCS, graduating Spring 2028. I'm looking for a remote Marketing Ops, RevOps, or Senior BA role at a SaaS or tech-forward company.
DANE DOLPH
marketing operations • business analyst
SELECTED WORK
FOUNDRY SAUNAS
Ads · Email · SMS · Paid Media · GoHighLevel · Drip Campaigns
750+ LEADS · $24.91 AVG CPL · 100% CRM BUILT
CHEFS' KITCHEN
Ads · Email · SMS · Paid Media · Database Management
130+ PURCHASES · $79 AVG CPP · $10k+ AD SPEND
AI LEAD SCORING SYSTEM
Make.com · GPT-4 · GoHighLevel · Airtable
Built an automation that ingests lead form data, scores it HOT / WARM / COLD / REENGAGE via AI, and routes follow-up sequences automatically.
RESUME
last updated May 2026
// SUMMARY
Marketing operations and business analyst with 2+ years of full-stack client work spanning paid media, CRM architecture, automation pipelines, and revenue attribution. Built and operated systems that drove $10k+ in attributed sales across two active client accounts. Currently completing a BS in Business Administration with Information Systems emphasis.
// SUMMARY
5000+
LEADS GENERATED
12,130+
PURCHASES DRIVEN
$150,000+
AD SPEND MANAGED
// SUMMARY
Freelance Marketing Manager
Foundry Saunas · Mike Soderholm
Built full GoHighLevel CRM from scratch: pipelines, automations, online booking, SMS/email sequences
Generated 750+ qualified leads at $24.91 average CPL through Meta Ads
Architected AI lead scoring system in Make.com using GPT-4 to classify leads HOT/WARM/COLD
Integrated Meta Pixel with GHL for booking conversion tracking and ROAS reporting
2024 — Present
Freelance Marketing Manager
Chefs' Kitchen / We're Cookin' Now · Chuck Menke
Managed $10k+ in paid media across Meta, Google, and TikTok
Drove 130+ attributed class purchases at $79 average CPP, growing 1,350+ contact database
Wrote and shipped event email/SMS campaigns and landing pages in client's established voice
Built UTM tracking architecture and GA4 reporting for multi-channel attribution
2024 — Present
Founder / Operator
Ecommerce / Dropshipping Operation
Scaled ecommerce operation to ~10,000 units sold before exiting
Owned full P&L: supplier sourcing, Shopify storefront, Meta Ads, fulfillment, customer service
2021 — 2023
General Manager
Vape Shop · Colorado Springs
Ran daily operations: staffing, inventory, vendor relations, compliance
Owned P&L and reporting for the location
2020 — 2022
// SUMMARY
BS Business, Accounting Emphasis
University of Colorado Colorado Springs
Jan 2027 — May 2028
AA Business, Accounting Designation
Pikes Peak State College · 3.8 GPA
Expected Dec 2026
// CERTIFICATIONS
CPA · anticipated 2029, completing 150-hour requirement
In progress: CAPM, Salesforce Administrator, ECBA, Google Project Management Certificate, Professional Scrum Master I
// CORE TOOLS
GoHighLevel · HubSpot · Salesforce · Make.com · Zapier · Meta Ads · Google Ads · GA4 · Power BI · SQL · Shopify · Airtable · Python
Full stack on the stack page →
Prefer the printable version?
DANE DOLPH
marketing operations • business analyst
// CRM & MARKETING AUTOMATION
GoHighLevel · HubSpot · Salesforce · Klaviyo · ActiveCampaign · Mailchimp
// PAID MEDIA
Meta Ads Manager · Google Ads · TikTok Ads · LinkedIn Ads · Snapchat Ads
// AUTOMATION & INTEGRATION
Make.com · Zapier · n8n · Airtable · Webhooks · API Integration
// ANALYTICS & REPORTING
GA4 · UTM tracking · Meta Pixel · Looker Studio · SQL · Excel
// ECOMMERCE & CMS
Shopify · WordPress · Webflow · Framer
// AI & LLMS
OpenAI API · Claude · Prompt Engineering · GPT-Powered Classifiers
// FOUNDATIONS
Python · HTML/CSS · JSON · Canva · Adobe Creative Suite · MS Office
// DESIGNS
^ Click or tap images to enlarge ^
// EMAILS
^ Click or tap images to enlarge ^
// LOGOS
^ Click or tap images to enlarge ^
DANE DOLPH
marketing operations • business analyst
LET'S TALK
Recruiters, hiring managers, or anyone with an interesting problem.
LOCATION
Colorado Springs, CO
mountain time · remote preferred
DANE DOLPH
marketing operations • business analyst
CASE STUDY · 01
FOUNDRY SAUNAS
Marketing Operations Lead · 2024 to Present
Built the entire customer acquisition engine from zero: paid media, CRM, AI lead scoring, and attribution. Generated 750+ qualified leads at $24.91 CPL.
750+
LEADS GENERATED
$24.91
AVERAGE COST PER LEAD
100%
CRM BUILT IN-HOUSE
4-tier
AI LEAD SCORING
// CHALLENGE
Foundry Saunas launched as a new dealership with zero customer infrastructure. No CRM, no booking system, no lead tracking, no attribution. The business was running on inbox plus spreadsheet, and growth had hit a wall.
// APPROACH
Three priorities, in this order:
Capture every lead reliably (CRM + forms + tracking)
Qualify and prioritize automatically (AI scoring + routing)
Re-engage the dead pile (drip sequences for stale leads)
Thesis: at $24 CPL, the ROI isn't in cheaper ads. It's in higher conversion downstream. So building the conversion engine took priority over scaling spend.
// BUILD
01 — CRM FOUNDATION
GoHighLevel Build-Out
Full GHL instance from scratch: pipelines for new lead → consultation → quote → close, custom fields for sauna preferences and budget, calendar integration for consultations, online booking flow tied to availability, and SMS plus email sequences for each pipeline stage.
02 — AUTOMATION + AI
AI Lead Scoring (Make.com + GPT-4)
Designed a Make.com workflow that intercepts every new lead form submission, sends it to GPT-4 with a custom classification prompt, and receives a JSON response tagging the lead as HOT, WARM, or COLD with reasoning. The classification auto-tags the contact in GHL and routes them to different follow-up sequences.
HOT leads trigger an immediate SMS from the founder
WARM leads enter a 7-day consultation invite sequence
COLD leads drop into a slow monthly nurture track
03 — ATTRIBUTION
Meta Pixel + GHL Conversion Tracking
Integrated the Meta Pixel directly with GoHighLevel's booking system to track which ads, audiences, and creatives produced actual booked consultations, not just form fills. This let Meta optimize on a real downstream conversion event instead of a proxy metric.
04 — LIFECYCLE
Re-Engagement SMS Drip
Hundreds of stale leads sat untouched in "Attempted to Connect" status. Built an SMS drip in the founder's casual, buddy-style voice to re-warm them. Sequence ran light check-in → helpful resource → direct offer.
05 — COMPLIANCE
10DLC SMS Registration
Handled 10DLC compliance registration so all outbound SMS messaging is legally compliant with U.S. carrier regulations.
// RESULTS
750+ qualified leads captured through Meta Ads
$24.91 average cost per lead across the campaign
AI scoring system processes leads in under 30 seconds end-to-end
Meta campaigns now optimizable on booked consultations, not form fills
Founder's manual follow-up workload reduced substantially via auto-routing
// STACK
GoHighLevel · Meta Ads Manager · Make.com · OpenAI GPT-4 · Meta Pixel · Webhook orchestration · Custom JSON parsing · 10DLC
// REFLECTION
The biggest unlock wasn't the AI scoring or the ad spend. It was wiring Meta Pixel events to GHL bookings. Before that integration, every optimization decision ran on form fills, which are a noisy signal. After it, Meta could optimize on actual buyer intent. Most agencies skip this step because it requires technical setup outside the ad platform itself. It's where marketing ops earns its keep.
Building something similar? Let's talk.
DANE DOLPH
marketing operations • business analyst
CASE STUDY · 02
CHEFS' KITCHEN
Marketing Operations Lead · 2024 to Present
Ran multi-channel paid media across Meta, Google, and TikTok for a culinary education business. Drove 130+ class purchases at $79 CPP while growing a 1,350-contact lifecycle database from scratch.
130+
PURCHASES ATTRIBUTED
$79
AVERAGE COST PER PURCHASE
$10k+
AD SPEND MANAGED
2,050+
CONTACT DATABASE
// CHALLENGE
Chefs' Kitchen is a Colorado Springs culinary education business running themed cooking classes, kids' camps, and seasonal dinner events. The brand had a loyal local following and a constant calendar of new events to fill seats for. What it didn't have was a paid acquisition channel that could scale beyond word-of-mouth, or the email and SMS lifecycle to convert one-time class-takers into repeat buyers. Growth was capped at how fast the founder could personally promote each event.
// APPROACH
Three operating principles:
Match channel to audience. Kids' camps perform on Meta. Date-night classes hit on TikTok. Evergreen classes convert on Google.
Voice is the moat. The founder's voice is the brand. Every ad, email, and landing page had to sound like him, not a freelancer.
Build the list, sell the list. Paid clicks are expensive. Email and SMS are free. Every paid lead enters lifecycle automation.
Thesis: the cheapest second purchase is from someone who already loved the first one. Build the audience now, monetize forever.
01 — PAID MEDIA
Three-Channel Acquisition Engine
Built and managed paid campaigns across Meta, Google, and TikTok, with each channel optimized for a different audience and event type. Every campaign tagged with custom UTMs for end-to-end attribution.
Meta · parent audiences for kids' camps and seasonal events
Google · high-intent search for "cooking classes" + location
TikTok · visual, story-driven content for date-night and adult classes
02 — COPY AT SCALE
Voice-Matched Copywriting
Wrote dozens of promotional emails, SMS campaigns, landing pages, and ad creatives in the founder's established voice. Events spanned the Great Hogwarts Bake-Off Summer Camp, themed kids' classes, Italian Fresh Pasta and Ravioli Wine Pairings, Seafood and Citrus dinners, and a Spring Bake Camp series. Voice consistency held across paid, owned, and transactional channels so the brand never felt outsourced.
03 — LIFECYCLE
Email and SMS Database Engine
Grew the contact database past 1,350 through paid lead capture and on-site signup flows. Built audience segmentation by interest (parents, foodies, couples, repeat buyers) and shipped event-specific sequences: announcement, reminder, last-call, post-event recap. Cost per re-engagement on existing list is effectively zero.
04 — ATTRIBUTION
UTM + GA4 + Meta Pixel Tracking
Built a UTM tagging convention covering all three paid channels plus owned email and SMS. GA4 and Meta Pixel events fire on purchase, so every booked class can be traced back to channel, campaign, and creative. Reporting flows into a weekly review with the founder.
05 — INFRASTRUCTURE
Domain and Deliverability Management
Manage the brand's domain portfolio across three active properties, including renewals, DNS records, and sender authentication (SPF, DKIM, DMARC) for email deliverability.
// RESULTS
130+ attributed class purchases at $79 average CPP
$10k+ in paid spend managed across Meta, Google, and TikTok
1,350+ contact lifecycle database built from paid and organic capture
Voice-consistent brand presence across every channel
Multi-channel attribution architecture in place for ongoing optimization
// STACK
Meta Ads Manager · Google Ads · TikTok Ads · GA4 · Meta Pixel · UTM tracking · Email and SMS automation · Landing page builders · Domain and DNS management
// REFLECTION
The hardest part of this account isn't the ads, it's the voice. The founder built his audience over years by being warm, weird, and unmistakably himself. The job isn't to "do marketing" for him. It's to scale his voice without diluting it. That's a creative problem first, an analytical problem second. The numbers are real, but the unspoken win is that the audience can't tell which emails he wrote and which I did.
Building something similar? Let's talk.
DANE DOLPH
marketing operations • business analyst
CASE STUDY · 03
AI LEAD SCORING SYSTEM
Technical Project · Built for Foundry Saunas · 2024
Designed and deployed an AI pipeline that intercepts every new lead, classifies it with GPT-4, and routes it to a differentiated follow-up sequence. End-to-end latency under 30 seconds.
<30s
END-TO-END LATENCY
4-tier
CLASSIFICATION OUTPUT
100%
AUTO-ROUTED SYSTEM
<$0.01
COST PER SCORE
// CHALLENGE
Manual lead triage is the silent killer of small business sales operations. Every new form submission demands a human to read it, decide if it's hot, warm, or cold, and route it to the right follow-up. At even modest volume, this becomes a part-time job that nobody actually does well. Hot leads sit in inboxes for hours. Cold leads get the same priority as warm ones. Conversion drops, and nobody can pinpoint where.The brief: build a system that performs the triage automatically, with auditable reasoning, at production scale, cheaply.
// CONSTRAINTS
Real-time. New leads can't wait minutes for classification.
Reasoning required. "HOT" without context is a black box no human will trust.
Routable output. Classification must trigger downstream actions, not just label.
Cheap. Cost per inference has to support unlimited scaling.
These constraints pointed to a no-code orchestration layer (Make.com) wrapped around an LLM call (GPT-4 with structured JSON output), with classifications fed back into the CRM to drive sequences.
// CONSTRAINTS
01 — INGESTION
Webhook Capture
Lead form submissions trigger a webhook to Make.com. Payload includes name, email, project type, timeline, budget signal, and the freeform message body. Make.com scenarios fire instantly on receipt.
02 — PROMPT DESIGN
Structured Classification Prompt
Designed a versioned classification prompt with explicit scoring criteria. HOT, WARM, and COLD defined with concrete examples. GPT-4 returns strict JSON with three fields so the downstream pipeline can parse without ambiguity.
{
"classification": "HOT" | "WARM" | "COLD",
"confidence": 0.0 to 1.0,
"reasoning": "<short explanation>"
}
03 — LLM INTEGRATION
GPT-4 API Call
Make.com HTTP module calls the OpenAI endpoint with the lead payload and prompt. A JSON parsing module extracts the three fields. Validation step: malformed responses default to WARM (the safe fallback) and flag for manual review.
04 — ROUTING
CRM Writeback and Sequence Trigger
Classification writes back to GoHighLevel via API, tagging the contact and triggering tier-specific automated sequences.
HOT · immediate SMS to founder + calendar invite link
WARM · 7-day consultation invite drip
COLD · slow monthly nurture track
05 — RESILIENCE
Error Handling and Observability
Failed API calls retry with exponential backoff. Every classification logs to a Make.com data store for audit. Edge cases (malformed payloads, OpenAI timeouts) route to a manual review queue so nothing drops on the floor.
// RESULTS
Under 30 seconds end-to-end from form submission to CRM tag
100% of incoming leads classified and routed automatically
Reasoning field on every classification keeps decisions auditable
Cost per classification under a penny
Zero manual triage required for standard inquiries
// STACK
Make.com · OpenAI GPT-4 · GoHighLevel API · Webhook orchestration · JSON parsing · HTTP modules · Custom prompt engineering · Retry logic with exponential backoff · Data store logging
// REFLECTION
The interesting thing about putting an LLM in production isn't the AI part. It's the boring parts: error handling, fallback states, observability, prompt versioning. GPT-4 is the easy 5%. The other 95% is making sure that when it fails, and it will, the system degrades gracefully instead of dropping leads on the floor.The other lesson: LLMs are most useful where the work is too small for a human and too judgmental for a rule. Lead classification is exactly that. The prompt isn't replacing a strategist. It's replacing the 30 seconds of attention a tired person was supposed to give every form submission, and never quite did.
Have an AI or automation problem? Let's talk.
DANE DOLPH
About Me:
Most of my time is spent running Meta ads and helping business owners scale. Previously, I managed millions in retail sales and shipped thousands of my own products.
photos:
Indie Page:
ME IN 10 SECONDS
MY INDIEPAGE
I’ve advertised for multiple companies, managed millions in retail sales, and shipped thousands of my own products.I'm an entrepreneur, techie, golfer, and I truly love business.Illinois native, I now live in Colorado.
This is where I share the projects I’m currently working on and the ones I’ve sold in the past.
MY SMALL BETS
This is my scoreboard where I track the startups I’m launching.https://www.freecodecamp.org/danedolphhttps://github.com/danedolph
DANE DOLPH
WHAT I'M DOING NOW
Updated October 20th, 2025, from my home in Colorado Springs, where it's officially fall.
freelance advertising
The main thing I spend my time working on is freelance advertising for anyone who needs a one-man marketing team. I have worked with a few brands over the years and recently spend my time on Chefs' Kitchen & Foundry Saunas.
Questions? Thoughts?
I'm easy to contact. Just email me.
© 2025 DANE DOLPH. All Rights Reserved.
DANE DOLPH
This is just one big page where I can write all about myself, without feeling the need for it to be useful.And some day this site will be all that’s left of me, so I might as well write my own mini autobiography.Last updated: 2025-10-25
Time line for context:
• 1999: born in Moline, Illinois
• 2000: first time hitting the keys on a keyboard
• 2003: started playing golf
• 2006: moved to Coal Valley, Illinois
• 2010: started selling duct-tape wallets via Moms Facebook account
• 2012: worked painting fishing lures for Uncles small business.
• 2013: built a desktop computer and dove deep into Photoshop and hacking games
• 2014: sold first product via eBay and made $0.12, it was a three pack of Ferrero Rocher
• 2015: played golf as a varsity freshman
• 2016: started my first “business” in high school, decided I wanted to be a successful entrepreneur
• 2017: moved to Davenport, Iowa
• 2018: graduated high school, eBay became main focus, started college
• 2019: started selling headphones online via ads as Robinpods, moved to Moline, Illinois, reached 10,452 headphones sold, ~$480,000+ in revenue, Ad account banned by Facebook,
• 2020: dropped out of college, moved to Colorado Springs, covid happened
• 2021: hired by Jvapes; fell in love with running a retail shop, promoted to general manager and moved to my own store at the North location
• 2023: left Jvapes at end of the year, got insurance license, hired by Colonial Life as insurance agent; cold-called and did in-person drops
• 2024: left Colonial Life to work at Xfinity in the billing center, left Xfinity to join Walmart managing the jewelry/shoe departments, left Walmart to start Freelance Advertising
• 2025: ...
About Me:
I’m focused on creating
I need to write this section.
Questions? Thoughts?
I'm easy to contact. Just email me.
Results (Last Updated: 10/1/25)
• Total sales: ~$125,000
• Total deals closed: 10+
• Leads generated: 677
• Cost per lead: $24.60
• Total ad spend: $16,654
Results* (Last Updated: 10/1/25)*
• Total ticket sales: ~$105,000
• Tickets sold: 765
• Total ad spend: $10,327
Results (Last Updated: 8/1/25)
• Leads generated: 3,606+
• Ad spend managed: $10,388
• Average CPL: $2.88
Results
• Sales generated: 8,839+
• Ad spend managed: $108,934.09
• Link Clicks: 199,673
• Purchases: 8,839
© 2025 DANE DOLPH. All Rights Reserved.
DANE DOLPH
Work History:
FOUNDRY SAUNAS
September 2024 - Current
Foundry Saunas is the West Coast distributor of Voyageur Saunas. They sell top-of-the-line premium saunas that are not barrel or kit models. I was hired to generate high-quality leads and build nurture SMS and email sequences to turn those leads into deals. This also included setting up the CRM and related software systems.
Click or tap to enlarge ^
Chefs' Kitchen
February 2024 - Current
Chefs’ Kitchen is an industrial kitchen that partnered with the owner of We’re Cookin’ Now! to offer ticketed cooking events to locals and their kids in the Colorado Springs area. I was hired to sell event tickets through paid social ads and to remarket to the database with additional SMS and email sequences.
Click or tap to enlarge ^
HARVEST TODAY
March 2024 - August 2025
Harvest Today is an indoor vertical farming company developing plastics to revolutionize indoor farming. I was hired to generate leads, build nurture email sequences, and manage HubSpot.
Click or tap to enlarge ^
Jvapes
June 2021 - December 2023
Jvapes is a vape and smoke shop based in Colorado Springs. I was hired as a cashier and quickly promoted to general manager of the North location. I grew my team to six, including me, and did $20,000 or more in weekly sales.
RobinPods
March 2019 - September 2019
My pièce de résistance: a headphone brand that replicated Apple AirPods at a better price point and in eight colors. I scaled it with Facebook ads to $480,000+ in revenue at about a 27% margin, selling ~11,000 pairs in six months before the account was banned.
Click or tap to enlarge ^
© 2025 DANE DOLPH. All Rights Reserved.
DANE DOLPH
DESIGNS:
^ Click or tap images to enlarge ^
EMAILS:
^ Click or tap images to enlarge ^
LOGOS:
^ Click or tap images to enlarge ^
© 2025 DANE DOLPH. All Rights Reserved.