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Casey Hensley

Casey Hensley, MBA

Growth marketer for B2B demand generation, marketing automation, and AI search

I build the systems behind pipeline growth: automations that act on live data, search strategy built for people and AI, and lead scoring that hands Sales the leads worth calling. For the past three years I have done this at Big Ass Fans, across industrial and residential segments.

How my weather-triggered email program decides who to email
  1. 8,400profiles pulled from four Klaviyo segments
  2. 2,800unique cities after deduplication
  3. 1 callto WeatherAPI per city, not per person
  4. > 90°Ftriggers a Heat Index Alert event
  5. $100K+in attributed revenue from the email flow
MQL growth year over year on a flat budget
75%
MQL growth year over year on a flat budget
more sales opportunities year over year
34%
more sales opportunities year over year
shorter B2B sales cycle
15%
shorter B2B sales cycle
revenue attributed to one weather-triggered email program
$100K+
revenue attributed to one weather-triggered email program

My work

Marketing automation in n8n

I built and maintain the automation layer that connects the CRM, forms, and email platform at Big Ass Fans. Three workflows replace manual exports and one-off sends.

Weather-triggered email program

Fan demand rises with the temperature, so this program sends when it's hot where a customer lives instead of on a fixed calendar.

The workflow pulls about 8,400 profiles from four Klaviyo segments and reduces them to about 2,800 unique cities, so WeatherAPI is called once per city instead of once per person. Profiles in cities above 90°F get a Heat Index Alert event that triggers a designed email flow. A last-alert-date property limits sends to one per day, so nobody is flooded during a heat wave.

Over $100K in attributed revenue, measured in Northbeam.

Nightly Salesforce lead and opportunity sync

A scheduled workflow pulls lead and opportunity data from Salesforce every night, so segments, triggered emails, and reporting run on current pipeline status instead of stale exports. Open opportunities can be suppressed from prospecting sends, and audiences can be targeted by funnel stage without manual list work.

JotForm to Klaviyo consent updates

Every new form submission updates the contact's email consent in Klaviyo automatically. Opt-ins are captured the moment someone submits, and nobody has to reconcile form data with the email list by hand.

Campaign performance

Two campaigns measured on what they were built to move: one on brand awareness and consideration, the other on pipeline.

"Give a Damn" brand campaign

Big Ass Fans had strong recognition with existing customers but needed to reach buyers who had never considered the brand. "Give a Damn" was a $100K awareness test across YouTube, The Trade Desk (CTV), ZoomInfo DSP, and Meta, with head-to-head creative variants. I built a custom brand-lift framework for it, covering cross-channel reach deduplication, effective frequency, and a composite lift index.

Two YouTube surveys tracked the change: an awareness survey with 2,008 responses ("Have you heard of Big Ass Fans?") and a consideration survey with 3,622 responses ("Which of these brands would you consider buying from?").

  • Brand awareness grew nearly 50%
  • Consideration rose 14%
  • Branded search volume increased 395%

Capex promotion: selling value without a discount

Industrial buyers plan equipment purchases around capital budget cycles. Instead of leading with a discount, the Capex campaign made the case for value: long-term energy savings, durability, and return on investment. It gave facility and finance decision-makers the reasoning they needed to put fans in next year's budget.

Lead scoring model

Sales was spending time on leads that would never buy. I designed a model that combines who a lead is with what they've done, built the MQL-to-SQL handoff with Sales, and synced scores into Salesforce so reps could prioritize from the record itself. The original model ran on HubSpot and Zapier. The framework below is rebuilt from that implementation.

Fit: who the lead is

SignalWhat scores higherWeight
Operations titlesFacility, plant, operations, maintenance, warehouse, and EHS managersHigh
Decision-maker titlesC-suite, VP of Operations, VP of Facilities, finance directors, controllersHigh
IndustryManufacturing, distribution and logistics, warehousingHigh
Company sizeMulti-site operations and larger facilitiesMedium
ZoomInfo intentResearch on industrial and HVLS fans, warehouse cooling, heat stress, facility energy efficiency, ventilation, HVAC costsMedium to high

Engagement: what the lead has done

BehaviorWeight
Quote request or contact sales formHighest
Pricing, product, and industry solution page viewsHigh
Repeat visits within a short windowHigh
Content downloads: spec sheets, case studies, guidesMedium
Email clicksMedium
Webinar or event registrationMedium
Email opensLow

Negative signals and handoff

Scores also come down. Unsubscribes, competitor or student email domains, job seekers, and long inactivity lower a lead's score, so stale leads leave the Sales queue instead of cluttering it. Leads that cross the MQL threshold route to Sales with their score and recent activity visible on the Salesforce record.

B2B sales cycle shortened 15%.

Let's talk about your pipeline

I'm open to growth and demand generation roles. Email is the fastest way to reach me.