Marketing Funnels: Help Buyers Move to Purchase
Marketing funnels organize the path from brand awareness to purchase and loyalty, as Amazon Ads’ guide explains. To build a useful funnel, define the purchase goal, provide the information needed at each stage, and measure the actions that connect discovery with buying and returning.

Use the funnel for two connected jobs: planning what to communicate and measuring what happens. A content plan specifies the information and next action at each stage. A measurement plan specifies the events, audience, and time period used to count progress.
What are the stages of a marketing funnel?
There is no single required stage system (Amazon Ads uses awareness, consideration, conversion, and loyalty). Use those stages as a planning checklist:
| Stage | Purpose | Content or activity to plan | Signals to track |
|---|---|---|---|
| Awareness | Introduce the brand or category | Educational articles, search content, social posts | Reach, introductory page visits |
| Consideration | Explain suitability and differences | Product details, comparisons, reviews | Product views, inquiries |
| Conversion | Support a purchase decision | Prices, terms, checkout, purchase assistance | Checkout starts, completed purchases |
| Loyalty | Support continued use and repeat buying | Usage guidance, support, follow-up | Repeat purchases, renewals |
Keep the purpose separate from the signal. Record a product page view as a page view; reserve purchase reporting for a completed purchase. Select metrics that match the action being measured rather than treating every interaction as equivalent.
What do TOFU, MOFU, and BOFU mean?
Shopify’s funnel guide groups the purchase path into three broad areas:
- TOFU, or top of funnel: awareness and initial discovery.
- MOFU, or middle of funnel: consideration and learning about the offer.
- BOFU, or bottom of funnel: conversion and the decision to purchase.
For planning, put introductory explanations near discovery, detailed product information near evaluation, and transaction information near purchase. Keep essential prices, terms, and product details accessible from more than one entry point.
Marketing funnel, sales funnel, and customer journey
A marketing funnel connects discovery and interest with a defined conversion. A sales funnel focuses on completing a sale; Shopify notes that a marketing funnel can end at lead capture while a sales funnel ends at purchase. When lead generation is the marketing goal, track what happens after the inquiry as well: contact, purchase, and the value of the resulting sale.
A customer journey describes the experience around those actions. Nielsen Norman Group’s explanation of journey mapping includes customer goals, actions, thoughts, emotions, and touchpoints. Use funnel counts to identify a transition worth investigating, and customer research to understand the experience at that transition.
The stage order is a simplification. McKinsey’s consumer decision research found that the brands under consideration can expand during evaluation rather than only narrow toward purchase. Its model also includes the experience after buying. Keep navigation open to comparison, product information, checkout, and support instead of making the stage labels a mandatory route through the website.
How to build a marketing funnel
1. Define the audience and conversion goal
Write down the product or service, the customer need it addresses, and the action that counts as success. Choose a completed purchase for a purchase funnel or a completed inquiry for a lead generation funnel. Track secondary actions separately, including newsletter signups and downloads.
Gather evidence about buyer needs from customer interviews, support questions, order history, and search query data. For understanding the experience itself, Nielsen Norman Group recommends qualitative research rather than inventing a journey from numbers alone. Record recurring questions and purchase barriers in the customer’s own terms.
Set the measurement unit and observation period before launching. Choose users, sessions, leads, or orders according to the question being asked, and label that choice in every report. Allow enough observation time to capture the purchase process shown in existing records.
2. Match content and calls to action to the decision
Build a list of information needed to judge the offer: what it does, who it suits, its specifications, total price, available options, delivery or service terms, and support. Put each answer where it can be found from the relevant product or category page.
Choose a primary call to action for each page. Use actions such as viewing product details, comparing options, requesting a quote, adding an item to a cart, or completing checkout. State what happens after a form submission, including what response the form requests.
Review the connection between the page and its next step. Keep product names, prices, and promises consistent across the content, form, and purchase destination. Remove competing requests that do not serve the page’s main purpose.
3. Connect channels to relevant destinations
Assign a destination to each search page, social post, email, advertisement, or referral link. Match the destination to the information promised in the message. Send product-specific messages to the relevant product information and purchase options.
Choose channels using existing customer and campaign evidence. Record which message, destination, and conversion goal each campaign serves. Treat channel choice and funnel stage as separate planning decisions; evaluate the resulting purchases or inquiries alongside the traffic generated.
For inquiry funnels, assign responsibility for responding and record the next completed action. Include the response process in measurement rather than ending the report at form submission.
4. Track the actions that matter
Translate the purchase path into events. For online shopping, Google’s ecommerce documentation defines view_item for product detail views, add_to_cart for adding products, begin_checkout for starting checkout, and purchase for buying.
Use those events to build a report of the shopping steps being investigated. Implement each event at its documented trigger, verify its parameters, and test the recorded behavior before using it to make decisions. Google recommends debug mode for checking ecommerce events.
For inquiries, track successful submission separately from a button click. Connect the recorded inquiry with subsequent purchases where the available records support that connection.
How to measure marketing funnel performance
Report both the number of people reaching a step and the percentage progressing from it. For a funnel that counts unique users through a defined sequence, calculate:
Step conversion rate = users completing the next step ÷ users reaching the preceding step × 100.
Overall funnel conversion rate = users completing the final step ÷ users entering the funnel × 100.
Keep the numerator within the population represented by the denominator. For checkout completion, count the checkout starters who purchased within the specified rules and period. Do not divide all purchases, including purchases outside that population, by the checkout starters in a narrower funnel.
Platform conversion rates may use different units. Google Ads defines conversion rate as conversions divided by ad interactions that can be tracked to a conversion during the same period. Label an advertising rate accordingly rather than equating it with a website user conversion rate.
Alongside rates, report purchase totals, revenue, inquiry outcomes, and repeat purchases as appropriate to the goal. Compare results using the same event definitions, audience, and observation period. Use prior comparable results as a baseline instead of choosing an unrelated benchmark.
Configure the funnel report before interpreting it
In Google Analytics 4 funnel explorations, an open funnel allows entry at any step, while a closed funnel requires entry at the first step. Users must complete the specified sequence; skipping a required step excludes them from later steps in that sequence.
GA4 also distinguishes steps that directly follow one another from steps that indirectly follow, allowing intervening actions. A time limit between steps can further restrict the count. Document these settings with the date range, filters, and segments.
Those rules describe completion of the configured path. Treat a missing later step as a reason to investigate the recorded behavior, rather than assigning an unobserved reason for leaving. Check the purchase event separately when the question is total purchases rather than completion of a particular sequence.
How to improve a marketing funnel
Start by checking the accuracy of the events and identifying the transition that matters most to the purchase goal. Use these review points to guide investigation:
- Discovery to product interest: review audience relevance, the message, the destination, and access to product information.
- Product interest to purchase action: review specifications, comparisons, prices, availability, terms, and access to assistance.
- Checkout start to completed purchase: review unnecessary fields, error messages, payment problems, and the effort required to finish.
- Inquiry to sale: review the promised response, follow-up records, and the questions that remain unresolved.
For checkout, Baymard’s usability research emphasizes the fields and effort shoppers must manage, rather than only the number of screens. Its recommendations include reducing unnecessary visible fields and offering account creation after checkout. Inspect those details before deciding that fewer checkout steps alone will resolve the problem.
Gather evidence from customer questions, usability observation, and transaction records before selecting a change. Specify the barrier to address and the metric expected to respond. Keep purchase outcomes visible when changing an earlier action such as a signup or product click.
Where traffic supports a meaningful experiment, compare the current experience with a defined variation. Optimizely describes A/B testing as random assignment to variants followed by statistical analysis against conversion goals. Define the goal and analysis method before starting; review the result and related purchase metrics before adopting the change.
Include the experience after purchase
McKinsey’s consumer decision journey includes postpurchase experience because it shapes subsequent decisions and loyalty. Plan delivery information, usage guidance, support, and relevant follow-up alongside the information used to make the first purchase.
Measure repeat buying or renewal within a stated customer group and time period. Keep the initial purchase and later customer outcomes visible as separate measures. Use recurring support questions and reasons for returns to review the promises and product information presented before purchase.