Updated September 2026 · Written and maintained by the Progression Agency strategy team
A marketing funnel is a diagnostic tool, not a description of how people behave. Real buying is non-linear, involves several people and is only partly visible — and the model is still useful, because it shows where people stop. This covers what each stage means, how to find the one that is actually costing you, what fixes each one, and why the instinct to buy more traffic is usually addressing the wrong end.
The short answerThe stage with the worst conversion ratio is not automatically the one to fix. The one to fix is where a realistic improvement produces the largest absolute gain — which requires doing the arithmetic rather than reacting to the worst-looking percentage. And verify the tracking before believing any of it: a large share of funnel analysis is performed on numbers that were never reliable.
Progression Agency is based in New York City and works with clients across the United States. Funnel models, stage names and measurement approaches vary widely between organizations; what matters is internal consistency and whether the stages correspond to something you can actually observe.
What is a funnel in marketing?
A model describing how somebody moves from not knowing you exist to buying — used to work out where people are dropping out and what to fix.
It is a diagnostic tool rather than a description of how people actually behave. Real buying is messy, non-linear and involves several people; the funnel is useful precisely because it simplifies that into something you can measure.
What are the stages, and what does each actually mean?
Awareness, interest, consideration, intent, evaluation and purchase — though the number of stages matters far less than being able to measure movement between them.
Any model works if the stages correspond to something you can observe. A six-stage model you cannot measure is worse than a three-stage one you can.
Awareness
They learn the problem or the category exists. Frequently they do not know your name at this point and are not looking for you.
Interest
They start seeking information. This is where search demand first becomes visible and where content earns its keep.
Consideration
They are comparing approaches or providers. Comparison content and reviews carry most of the weight here.
Intent
They have decided to act and are choosing between specific options. This is where paid search captures most of its value.
Evaluation
The practical checks: price, terms, references, whether you answer the phone. Many sales are lost here for entirely non-marketing reasons.
Purchase
The transaction. In B2B it involves people who never appeared in any of your analytics.
Retention and advocacy
Everything after the sale, which is where profitability actually lives and which most funnel diagrams omit entirely.
Why does the funnel model get criticized?
Because real buying is not linear, several people are involved, and people enter partway through — all of which are true and none of which make the model useless.
The honest position is that a funnel is a measurement scaffold rather than a theory of human behavior. Used to find where people drop out, it works. Used as a description of a journey, it misleads.
| Criticism | Is it fair? | What to do |
|---|---|---|
| Buying is not linear | Yes | Measure stages, not a journey |
| People enter partway through | Yes | Do not assume top-of-funnel entry |
| Several people are involved in B2B | Yes | Map the buying group, not one person |
| It ignores retention | Yes, as usually drawn | Extend it past purchase |
| It implies you control the process | Yes | You influence, not control |
| Attribution between stages is imperfect | Yes | Use it directionally |
| It is too simple | That is the point | Simplicity is what makes it measurable |
| Everybody uses a different model | True and unimportant | Consistency internally is what matters |
The most useful reframe: stop asking whether the funnel is accurate and start asking whether you can see where people stop. If you can, the model is doing its job.
How do you find where people are actually dropping out?
By measuring the ratio between each observable stage, then comparing those ratios against what the business can plausibly change.
The stage with the worst ratio is not always the one to fix. The one to fix is where a realistic improvement produces the largest absolute gain.
Count what enters each stage
Sessions, inquiries, qualified opportunities, proposals, closed deals. Whatever you can actually observe.
Calculate the ratios between them
The conversion from each stage to the next is the diagnostic number, not the absolute counts.
Find the worst ratio, then check it is fixable
A poor ratio caused by an unfixable constraint is not where to spend.
Model the absolute gain, not the percentage
Doubling a tiny number at the bottom frequently beats a small percentage gain at the top, and frequently does not. Do the arithmetic.
Check the tracking before believing any of it
A large share of funnel analysis is performed on numbers that were never reliable.
Separate branded from non-branded at the top
Branded traffic entering the funnel flatters every stage below it.
Which stage do most businesses actually have a problem at?
More often than not, further down than they think — inquiry handling and follow-up rather than traffic.
The instinct when sales are down is to buy more traffic. Frequently the traffic is adequate and the inquiries arriving are being answered slowly or not at all.
What actually fixes each stage?
Different work entirely — which is why diagnosing the stage matters more than the sophistication of any individual tactic.
Spending on awareness when the problem is conversion is the most expensive mistake in this whole area, and it is extremely common.
| Stage | Symptom | What actually fixes it |
|---|---|---|
| Awareness | Nobody has heard of you | Reach: search, paid, PR, partnerships |
| Interest | Traffic that leaves immediately | Content that matches what was searched |
| Consideration | They compare and pick somebody else | Comparison content, proof, reviews |
| Intent | They search and choose a competitor | Paid search, landing pages, offer clarity |
| Evaluation | Proposals that go quiet | Response speed, references, pricing clarity |
| Purchase | Deals stall at the end | Process friction, terms, decision-maker access |
| Retention | Customers leave after one purchase | Onboarding, service, communication |
| Advocacy | No referrals | Ask; most businesses simply never do |
The bottom row is the cheapest line in the table and the one most often left blank. Referrals arrive when somebody asks for them, and most businesses have no process that ever does.
How does the funnel differ between B2B and consumer?
B2B funnels are longer, involve several people, and include stages that happen entirely offline and invisibly.
The practical consequence is that B2B funnel measurement is always partial, and treating the visible part as the whole picture produces confident wrong conclusions.
| Consideration | B2B | Consumer |
|---|---|---|
| Length | Months to years | Minutes to weeks |
| People involved | Several, with different concerns | Usually one |
| Visible in analytics | Partially | Mostly |
| Deciding factor | Risk reduction | Value or desire |
| Role of content | Substantial, throughout | Concentrated near purchase |
| Role of sales | Central | Frequently absent |
| Where deals are lost | Internal approval | Checkout and price |
| Measurement quality | Partial and lagging | Fairly complete |
The ‘people involved’ row is what defeats naive B2B funnel analysis: the person who searched is frequently not the person who decides, and the person who decides may never visit the site at all.
What is the difference between a funnel and a customer journey?
A funnel counts people at stages. A journey describes what an individual experiences. They answer different questions and are frequently confused.
Use a funnel to find where volume is lost. Use a journey map to understand why, and what the experience actually feels like at that point.
Do you need marketing automation to run a funnel?
No. You need to be able to count people at each stage, which a spreadsheet can do for most businesses below a certain size.
Buying automation before knowing which stage is broken is a common and expensive sequencing error: the tool then automates a process nobody has diagnosed.
How do you measure a funnel honestly?
By verifying the tracking first, separating branded from non-branded, accepting that attribution is imperfect, and using the numbers directionally.
Anybody presenting exact attribution across a multi-touch funnel is presenting a model, not a measurement. That is fine as long as everybody knows which it is.
What are the common mistakes?
Fixing the wrong stage, believing unverified tracking, ignoring everything after purchase, and treating the model as a description of behavior.
All four produce confident decisions built on the wrong foundation, which is worse than having no model at all.
How does a funnel change when buyers research with AI answer engines?
The interest and consideration stages increasingly happen somewhere you cannot see — inside an answer rather than on your site.
That does not break the model. It moves more of the early funnel out of your analytics, which makes the stages you can still observe more important and makes being citable more valuable.
| Stage | Traditionally visible as | Increasingly happening |
|---|---|---|
| Awareness | Impressions, brand search | Inside an answer, unlogged |
| Interest | Site sessions, content reads | Summarized by an assistant |
| Consideration | Comparison page visits | In a generated comparison |
| Intent | Search clicks | Still mostly visible |
| Evaluation | Pricing page, contact | Still visible |
| Purchase | Conversion | Visible |
| Retention | Repeat orders | Visible |
| Advocacy | Referrals | Largely invisible either way |
The practical response is not to try to recover the lost visibility. It is to make sure the stages you can still measure are measured properly, and to be the source those answers cite.
Not sure which stage is actually costing you?
We work with clients across the United States, and the first thing we do is find where people actually stop — which, more often than anybody expects, is after the inquiry arrives rather than before it.
Video: marketing practice
A general library on marketing practice. The funnel material is written out in full above.
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Getting found in search
AI, AEO and what is changing
Paid media and lead generation
- Estimating landscaping jobs
- WordPress developers Los Angeles
- Digital marketing agency San Jose
- Google Business Profile posts
- Humor in advertising
- Competitors bidding on your brand
- Traffic dropped after redesign
- Rising cost per lead
- Inquiries that never buy
- Agency red flags
- Briefing an agency
- Retainer or project
- SEO and Google Ads together
- Switching agencies
- Marketing agency contracts
- Is my agency doing a good job
- Why competitors outrank you
- Why rankings dropped
- Traffic but no leads
- Instagram marketing agencies
- Marketing automation software
- Hotel PPC agency
- Freebie ideas and lead magnets
- Angi for contractors
- Email marketing for home services
- Direct mail marketing
- Lead generation websites
- Dental lead generation
- Search engine advertising
- Display advertising
- Search Ads 360
- Organic search vs paid search
- Are Google Ads worth it?
- How to stop Google Ads
- Google Ads vs Facebook Ads
- Social media advertising
- What batch work is
- Free tools for service businesses
- What digital presence is
- Website visitor tracking
- Email marketing examples
- Fear-based advertising
- The annual business review
- Twitter alternatives
- Lead generation agency
- Contractor lead generation
- Solar leads
- What is lead generation?
- Cost per lead benchmarks
- Performance marketing agency
- What is appointment setting?
- Search ad conversion rate trends
- PPC agency
- HVAC leads
- Social media marketing pricing
- Digital advertising agency
- Media buying vs media planning
- Choosing a marketing company
- CRM software examples
- Global marketing companies
- Buc-ee’s marketing analyzed
- Product launch ideas
- Hulu and streaming advertising
- Advertising agency in Houston
- Dentist PPC
- Facebook ads agency
- Meta Business Partners
- Google Ads management agency, San Francisco
- Shopify PPC agency
- Roofing Google Ads agency
- Digital ads 101
- Meta ad specs
Websites and design
Choosing and working with an agency
Social, content and brand
By industry and by situation
Frequently asked questions
What does mkt funnel mean?
What funnel model should a small business actually use?
How do funnels work in practice?
How does funnel work when the sale is not linear?
What are funnels used for beyond marketing reporting?
What is a communication funnel?
How does customer funnel marketing differ from the sales funnel?
Where do you find reliable funnel information?
What is a funnel in marketing?
Is it a description of how people really behave?
What are the stages?
How many stages should a funnel have?
Is the funnel model outdated?
How do I find where people drop out?
Should I always fix the worst ratio?
Where is the problem usually?
Why is that so commonly missed?
What fixes the awareness stage?
What fixes the consideration stage?
What fixes the evaluation stage?
What about after purchase?
Why do so few businesses get referrals?
How is a B2B funnel different?
Why does that defeat naive B2B analysis?
What is the difference between a funnel and a customer journey?
Do I need marketing automation?
When is automation the right purchase?
How do I measure a funnel honestly?
Why separate branded traffic?
Can attribution be exact?
What if my tracking is unreliable?
What are the most common funnel mistakes?
Is a simple funnel good enough?
Should everybody in the company use the same model?
Where should I start if I have nothing?
What is the single cheapest improvement available?
Sources and further reading
- Google Search Essentials — SEO starter guide
- Google: creating helpful, reliable, people-first content
- Google: intro to structured data
- Google: LocalBusiness structured data
- Google: FAQPage structured data
- Google: Article structured data
- Google: Product structured data
- Google: title links in search results
- Google: control your snippets
- Google: robots.txt introduction
- Google: sitemaps overview
- Google: consolidate duplicate URLs
- Google: redirects and Search
- Google: JavaScript SEO basics
- Google: multi-regional and multilingual sites
- Google Search Central Blog
- Google: get started with Search Console
- Google: how local search results are determined
- Google Business Profile: prohibited and restricted content
- Google Business Profile: address and service area guidelines
- Google Business Profile: review policy
- Google Business Profile: add or edit categories
- Google Ads: location targeting settings
- Google Ads: about negative keywords
- Google Ads: about Quality Score
- Google Ads: importing offline conversions
- Google Ads: about Smart Bidding
- Google Ads: about Performance Max
- Google Local Services Ads: eligibility and screening
- Google Ads: keyword match types
- Google Analytics 4: about conversions
- Google Analytics 4: attribution models
- US Census Bureau QuickFacts: New Jersey
- US Census Bureau: American Community Survey
- US Census: Statistics of US Businesses
- Bureau of Labor Statistics: New Jersey data
- BLS: Occupational Employment and Wage Statistics
- NJ Department of Labor: labor market information
- New Jersey Business Action Center
- US Small Business Administration: New Jersey district
- USA.gov: business resources
- web.dev: Core Web Vitals explained
- web.dev: Largest Contentful Paint
- web.dev: Cumulative Layout Shift
- web.dev: Interaction to Next Paint
- Google PageSpeed Insights
- Google Rich Results Test
- Google Search Console
- W3C Markup Validation Service
- Schema.org: LocalBusiness type
- Schema.org: Service type
- Schema.org: FAQPage type
- Schema.org: HowTo type
- W3C: WCAG 2.2 quick reference
- FTC: CAN-SPAM Act compliance guide
- FCC: telemarketing and robocall rules (TCPA)
- FTC endorsement guides — reviews and testimonials
- FTC: rule on consumer reviews and testimonials
- HHS: HIPAA guidance on online tracking technologies
- New Jersey Courts: attorney advertising guidelines
- New Jersey DCA: construction codes and permits
- New Jersey Home Improvement Contractor registration
- New Jersey Division of Consumer Affairs
- TikTok for Business
- TikTok Creative Center
- TikTok Ads Help Center
- TikTok Community Guidelines
- TikTok Terms of Service
- TikTok Privacy Policy
- TikTok Safety Center
- TikTok Transparency Center
- TikTok Creator Portal
- TikTok Newsroom
- TikTok for Developers
- TikTok advertising solutions
- TikTok Creator Marketplace
- TikTok Business Center
- TikTok for Business blog
- TikTok Creative Center: top ads
- TikTok Branded Content policy
- TikTok Shop for sellers
- Instagram for Business
- Instagram for Creators
- Instagram Help Center
- About Instagram
- Meta Business Suite
- Meta Business Help Center
- Meta Transparency Center
- About Meta
- Meta: Instagram platform docs
- YouTube Creators
- YouTube Official Blog
- YouTube Shorts help
- How YouTube Works
- YouTube Studio
- LinkedIn Marketing Solutions
- LinkedIn Help
- Pinterest Business
- Pinterest Business Help
- Snapchat for Business
- X for Business
- Reddit communities
- Reddit for Business Help
- ASCAP
- BMI
- SESAC
- Global Music Rights
- PRS for Music (UK)
- PPL (UK)
- SOCAN (Canada)
- APRA AMCOS (Australia)
- GEMA (Germany)
- SACEM (France)
- SIAE (Italy)
- JASRAC (Japan)
- IFPI
- RIAA
- National Music Publishers Association
- Harry Fox Agency
- SoundExchange
- Music Reports
- Epidemic Sound
- Artlist
- Soundstripe
- PremiumBeat
- AudioJungle
- Free Music Archive
- Creative Commons
- Incompetech
- FTC: advertising and marketing
- FTC: disclosures 101
- FTC: endorsement guides
- FTC: consumer reviews rule
- FTC: advertising FAQs
- US Copyright Office
- US Copyright Office: DMCA
- US Copyright Office: music FAQ
- US Copyright Office: fair use FAQ
- USPTO: trademarks
- UK Advertising Standards Authority
- ACCC (Australia)
- Competition Bureau Canada
- GDPR overview
- California Consumer Privacy Act
- COPPA
- FTC: children’s privacy
- W3C Web Accessibility Initiative
- W3C: WCAG
- W3C: captions
- W3C: making audio and video accessible
- ADA.gov
- WebAIM
- Epilepsy Foundation
- Pew Research: internet and technology
- DataReportal
- US Census Bureau
- US Bureau of Labor Statistics
- Interactive Advertising Bureau
- Think with Google
- Google Trends
- Nielsen insights
- Schema.org: VideoObject
- Schema.org: SocialMediaPosting
- Schema.org: MusicRecording
- Schema.org: HowTo
- Schema.org: FAQPage
- Schema.org: Organization
- Google: video best practices
- Google: video structured data
- CapCut
- Adobe Premiere Rush
- DaVinci Resolve
- Canva
- Descript
- VEED
- Kapwing
- Otter.ai
- Later
- Buffer
- Hootsuite
- Sprout Social
- Google Analytics
- Google Search Console
- Google Analytics developer docs
- GA4: events and conversions
- Matomo
- Plausible Analytics
- Similarweb
- UK Information Commissioner’s Office
- Office of the Privacy Commissioner of Canada
- Australian OAIC
- European Data Protection Board
- EU data protection
- EU Digital Services Act
- Ofcom
- FCC
- AIGA
- Nielsen Norman Group
- Smashing Magazine
- web.dev
- MDN: web media
- MDN: the video element
- ISO 21001 (reference)
- Buma/Stemra (Netherlands)
- STIM (Sweden)
- Teosto (Finland)
- Koda (Denmark)
- TONO (Norway)
- IMRO (Ireland)
- SGAE (Spain)
- ZAiKS (Poland)
- KOMCA (South Korea)
- MCSC (China)
- CISAC
- World Intellectual Property Organization
- TikTok: creating videos
- TikTok: exploring videos
- TikTok: privacy settings
- TikTok: growing your audience
- TikTok Creator Academy
- TikTok Effect House
- TikTok for small business
- Instagram: Reels help
- YouTube: Shorts best practice
- How YouTube recommends
- Pinterest Predicts
- Snapchat for Business
- Hootsuite blog
- Social Media Examiner
- Marketing Week
- Adweek
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