Webinar Outline: HVAC Data Dashboard & Analytics

Measuring Results to Maximize Return on Investment

1) Welcome + What You’ll Learn (3–5 minutes)

  • Introduction to All Contractor Marketing (ACM)
  • Who this webinar is for:
  • HVAC owners and GMs
  • office managers and dispatch teams
  • marketing coordinators
  • What attendees will learn:
  • what metrics actually matter in HVAC marketing
  • how to build a dashboard that ties marketing to revenue
  • how to track leads from first click to closed sale
  • how to identify waste, improve ROI, and scale confidently

2) Why HVAC Marketing Without Analytics is Guessing (5–7 minutes)

  • The most common HVAC marketing problem:
  • money is being spent, but results aren’t clear
  • What happens without tracking:
  • budget waste
  • inconsistent lead flow
  • arguments over what “worked”
  • scaling the wrong campaigns
  • Key takeaway:
  • if it can’t be measured, it can’t be improved

3) The HVAC Marketing Measurement Model (8–10 minutes)

Explain the full lifecycle of an HVAC lead.

The lead-to-revenue chain

  • Impressions → Clicks → Calls/Forms → Leads → Booked → Estimates → Sold → Closed Revenue

Key concept:

  • most companies only measure the first 20% (clicks and calls)
  • ROI is determined at the end (closed revenue)

4) The ROI Dashboard: What It Should Include (10–12 minutes)

Introduce the core dashboard sections and why each matters.

A) Marketing Spend + ROI Overview

  • total marketing spend
  • estimated marketing revenue
  • sold revenue
  • closed revenue
  • ROI dashboard summary

B) Lead Volume + Quality

  • unique leads
  • conversions
  • customer interaction

C) Booking + Sales Performance

  • booked customers
  • book rate
  • match rate
  • average ticket

Key takeaway:

  • a true HVAC dashboard tracks money, not just marketing activity

5) ROI and ROAS Explained (HVAC-Specific) (10–15 minutes)

Break this down clearly because it’s often misunderstood.

A) ROI Dashboard Basics

  • ROI = return on investment
  • what contractors should care about:
  • profit impact
  • revenue impact
  • cost per paying customer

B) ROAS Potential vs ROAS Closed

Explain both, and why they’re different.

  • ROAS Potential
  • projected return based on leads, average ticket, and close rate assumptions
  • useful for forecasting and planning
  • ROAS Closed
  • actual return based on closed revenue tracked back to marketing
  • the “real score” for performance

Key takeaway:

  • ROAS potential helps you plan
  • ROAS closed helps you scale confidently

6) Core Revenue Metrics to Track (15–20 minutes)

This is the deep dive into the dashboard metrics you listed.

A) Customer Interaction

  • inbound calls
  • web form submissions
  • chats/messages (if used)
  • how interaction volume impacts revenue

B) Conversions

  • what counts as a conversion:
  • phone call
  • form submission
  • booking request
  • conversion rate by channel

C) Unique Leads

  • difference between:
  • total conversions
  • unique leads
  • why duplicates inflate results and hide waste

D) Booked Customers

  • how many leads became scheduled appointments
  • why this is the most important “middle metric”

E) Book Rate

  • booked customers ÷ unique leads
  • how to improve it:
  • speed-to-lead
  • missed call reduction
  • better ad targeting
  • better landing pages

F) Match Rate

  • leads that match your ideal customer and service area
  • what lowers match rate:
  • wrong keywords
  • broad targeting
  • lack of negative keywords
  • irrelevant placements

G) Estimated Marketing Revenue

  • forecasted revenue based on:
  • booked jobs
  • average ticket
  • expected close rate
  • used for early indicators before sales cycle finishes

H) Sold Revenue

  • revenue from jobs that were sold
  • good for measuring sales team performance
  • helpful when install cycle is longer

I) Closed Revenue

  • revenue actually collected/closed
  • the most accurate metric for ROI and ROAS closed

J) Average Cost per Paying Customer

  • marketing spend ÷ paying customers
  • why this is the most useful metric for scaling decisions

K) Average Ticket

  • average revenue per sold job
  • track by service type:
  • repair
  • maintenance
  • replacement/install

Key takeaway:

  • the goal is not more leads
  • the goal is more profitable customers

7) Turning the Dashboard Into Decisions (10–12 minutes)

Teach how to use analytics, not just view it.

Decision examples

  • high leads, low booked customers:
  • call handling issue
  • poor follow-up
  • low-intent keywords
  • high booked, low sold:
  • sales process issue
  • price objections
  • wrong lead type
  • high sold, low closed:
  • financing process issue
  • scheduling delays
  • operational bottlenecks
  • high spend, low match rate:
  • targeting issue
  • missing negative keywords

8) Agency Analytics: What Your Marketing Company Should Report (5–8 minutes)

  • what “good reporting” looks like
  • what to demand from agency reporting:
  • attribution
  • lead quality
  • booking metrics
  • revenue tracking
  • red flags:
  • reports that only show impressions and clicks
  • no call recordings or call outcomes
  • no booked/sold/closed reporting

9) Channel-by-Channel Analytics Deep Dive (25–30 minutes)

This is where you cover each data source and what to monitor.

A) Call Tracking Analytics

Metrics to cover:

  • answered vs missed calls
  • missed call rate
  • call duration
  • call recordings quality review
  • call attribution:
  • which channel drove the call (Google Ads, SEO, GBP, LSA, etc.)

Key takeaway:

  • missed calls are silent ROI killers

B) Website Traffic Analytics

  • total sessions
  • traffic sources:
  • organic
  • paid
  • direct
  • referral
  • top landing pages
  • conversion rate by page
  • mobile vs desktop performance

C) Google Ads Analytics

Metrics to cover:

  • average cost per click (CPC)
  • phone calls
  • impressions
  • click-through rate (CTR)
  • conversion rate
  • cost per lead
  • search terms report (waste reduction via negatives)

Key takeaway:

  • in HVAC, keyword intent matters more than traffic volume

D) Google Local Services Ads (LSA)

Metrics to cover:

  • phone call itemization
  • lead types (calls/messages)
  • charges and charge status
  • charged
  • not charged
  • disputed (if applicable)
  • cost per lead
  • booking rate from LSA leads

Key takeaway:

  • LSA can look “cheap” until you separate real leads from charged leads

E) Google Business Profile (GBP) Engagement

Metrics to cover:

  • calls from GBP
  • website clicks
  • direction requests
  • photo views and engagement
  • how GBP impacts conversion even when the website isn’t clicked

Key takeaway:

  • GBP is often the biggest “free lead source” when optimized

F) SEO Keyword Tracking (Google Search Console)

Metrics to cover:

  • top keywords
  • impressions vs clicks
  • average position
  • click-through rate (CTR)
  • top pages by performance
  • service keyword growth over time

Key takeaway:

  • Search Console shows what people are actually searching before they call

G) Social Media Analytics (Facebook Focus)

Split into organic vs paid.

Organic metrics:

  • post summaries
  • engagement (likes, comments, shares)
  • clicks
  • reach and impressions
  • follower/like growth

Paid social metrics (Facebook engagement ads, lead ads, traffic ads):

  • impressions
  • clicks
  • average CPC
  • engagement rate
  • increased likes/followers
  • leads generated (if lead forms used)

Key takeaway:

  • social media success is measured by trust + action, not likes alone

10) Reporting Cadence: Weekly vs Monthly (6–8 minutes)

Weekly review

  • leads
  • booked customers
  • missed calls
  • cost per lead
  • match rate
  • negative keyword additions

Monthly review

  • ROAS potential vs ROAS closed
  • revenue attribution
  • average ticket trends
  • channel budget allocation
  • scaling decisions

Key takeaway:

  • weekly protects budget
  • monthly guides strategy

11) The HVAC Analytics Scorecard (Template) (5–8 minutes)

Offer a simplified scorecard contractors can follow.

Recommended scorecard categories:

  • spend
  • unique leads
  • booked customers
  • book rate
  • match rate
  • sold revenue
  • closed revenue
  • average cost per paying customer
  • average ticket
  • ROAS closed


12) Q&A (10–15 minutes)

13) Announce next webinar, "HVAC and Artificial Intelligence — How to Increase Efficiency and Maximize the Customer Experience (Using ChatGPT) and provide registration link.