如何通过内容教育提升用户对戒烟服务的付费意愿与客单价

Willingness to pay is not innate - it is educated. This article uses real data and cases to break down how content education boosts willingness to pay and average order value for smoking cessation services.

29.84%

Smokers willing to pay for cessation services

2,239 元

Average amount willing to pay among those willing

1,012 元

Increment from emphasizing personal health risk reduction

907 元

Additional increment from emphasizing family health improvement

3%–5%

Typical success rate of cold turkey (pure willpower)

2.1% → 9%–12%

Paid consultation conversion rate before vs after content strategy adjustment

54% → 21%

Inbound ask-for-materials ratio declined (key indicator of effective education)

2,100 → 2,900 元

Average order value increase during same period

Content education pathway: conversion chain from free content to paid service

Free-Content-Only Operations

Attracts many free readers, low conversion rate, difficulty raising average order value, traffic easily intercepted by competitors

Content-Education-Driven Operations

Systematically educates user value perception, improves conversion rate, steadily grows average order value, builds professional trust barriers

# How to Use Content Education to Boost Users' Willingness to Pay and Average Order Value for Smoking Cessation Services

In November 2023, I invited 12 long-term readers of my WeChat public account for a small-scale interview at a café in Chengdu's High-Tech Zone. They had been following me for an average of over 8 months, each had read at least 15 of my smoking cessation articles, and some could even recite details like "Days 3–7 of withdrawal are the hardest." The last interview question was: "If there were an 8-week structured coaching program, including 6 video sessions + a written plan, priced at 2980 RMB, would you be willing to pay?"

Out of 12 people, only 2 nodded on the spot. The rest gave highly repetitive responses:

"The articles are quite professional, but I can find similar information myself."

"I don't know what extra I'd get for paying compared to free content."

"Let me think about it — if I fail again, the money would be wasted."

That interview pulled me out of the illusion that "more content equals better conversion." Reading volume, likes, and bookmarks are all attention metrics; willingness to pay and average order value are the result of value clarification + risk hedging + path visibility. Content education is not about writing more popular-science pieces about harm — it is about systematically moving users from "I know smoking is bad" to "I am willing to pay for a verifiable change process, and I am willing to pay more for higher-intensity support."

This article chronicles my journey from late 2023 to the first half of 2025, using content education to raise willingness to pay and average order value for smoking cessation services: what worked, what looked lively but actually killed average order value, and how the three educational lines — case studies, comparisons, and authority — were scheduled into a real calendar.

I. Recognize First: Low Willingness to Pay Is Often Not "Too Expensive" but "Value Not Yet Educated"

1. The Real Temperature in Public Data

Domestic research on willingness to pay for smoking cessation services (SCS) is limited, but a recent study based on household surveys across multiple areas in Sichuan, involving 1,354 current smokers, delivered striking numbers:

**Only about 29.84%** of smokers expressed willingness to pay for cessation services;

Among those willing to pay, the average amount for "supervised and guaranteed successful quitting" was approximately **2,239 RMB**;

When **personal health risk reduction** was explicitly emphasized, the amount increased further (an increment of about **1,012 RMB** in the study);

When **improved health of cohabiting family members** was also emphasized, there was an additional increment of about **907 RMB**;

People **willing to quit** showed significantly higher probability of willingness to pay (OR approximately 2.18 in the study); stronger social support also correlated with higher willingness to pay.

I put these numbers on the first page of my operations sheet — not to sell anxiety, but to calibrate:

**Most people default to not paying** — if your content only serves "free-pop-science lovers," conversion will remain poor long-term;

**Once people enter the "willing to pay" group, the amounts are respectable** — the problem is often "how to get people across the 0-to-1 gap," not just "how to raise the price from 99 to 299";

**Health benefits and family benefits must be clearly articulated in content** — users are not paying for "a bundle of articles" but for "perceivable outcomes and risk reduction."

The success rate for cold turkey quitting is typically only about 3%–5%; behavioral counseling and medication support can significantly increase success rates (many clinical sources and manuals describe the magnitude as close to "doubling," though it depends on adherence and individual differences). If users do not know this gap, they will put your 2980 RMB service on the same shelf as "reading three more articles" for comparison — and you will never win.

2. My Own Controlled Experiment

From September to October 2023, I published only "harm-focused" content for 6 consecutive weeks: oral health, cardiopulmonary effects, secondhand smoke, nicotine dependence mechanisms. The median reading count rose from 1,800 to 4,200, with 30+ inbound leads per week in private channels, but the conversion rate for paid consultations (then focused on the 198 RMB single assessment) dropped to 2.1%.

From December 2023 to January 2024, I changed the content ratio:

Type	Percentage	Function
Harm and Mechanisms (establish problem severity)	25%	Create a "can't delay" mindset
Failure Path Analysis (contrast cold turkey / random attempts)	25%	Break the "I can do it myself" belief
Success Process Cases (visible process)	25%	Build "paying for a process" understanding
Service Boundaries and Pricing Logic (transparent delivery)	15%	Reduce scam feeling, raise anchor
Authority and Method Source Explanation	10%	Reduce professional trust cost

During the same period, the single assessment conversion rate returned to 9%–12%, and the secondary conversion from trial to 8-week coaching (3,280 RMB) rose from 11% to about 19%. Reading volume actually dropped a bit, but average order value and paying user count went up.

My judgment was direct: Harm popular science drives traffic; process education drives payment. Traffic without process education is wasted cold-start resources after others have already educated the users.

II. The Three Things Content Education Really Needs to Change

Willingness to pay = Perceived Value - Perceived Risk - Perceived Substitutability.

Average order value = Price Anchor * Solution Fit * Upgrade Reason Clarity.

If content education is effective, it must be moving the following three levers, not "better writing."

1. Perceived Value: From "Information" to "Outcome Path"

Users default to believing: Content = Information, Service = More Expensive Information. What you need to educate:

Free content addresses **cognition**;

Paid service addresses **execution in specific scenarios, correction, and relapse prevention**.

At the end of every conversion-oriented article, I fixed three lines (do not hide them):

What this article helps you determine (e.g., whether you have passed the "sheer willpower" stage);

What this article **cannot** replace (individual plans, follow-up, crisis intervention);

If you need the latter, what the corresponding service is called, how many sessions, and approximate price range.

After persisting with this approach from February 2024, the inbound inquiry changed from "send me more materials" to "exactly how many video sessions does your 8-week program include" — the question changed, and the deal got closer.

2. Perceived Risk: Dissecting the "Fear of Paying IQ Tax"

The biggest invisible competitor in smoking cessation service sales is not cheaper alternatives — it is users' fear of:

Relapsing after paying, losing both money and results;

The counselor only giving correct but useless advice;

Not being able to stick with it, and being morally judged.

Content must proactively educate "how failure is handled." I wrote an article titled "The Only Four Things We Do Within 48 Hours of a Relapse." Its reading count was average, but that week, 37% of trial course buyers wrote in the payment page notes: "came for the relapse protocol."

A service willing to talk about failure feels more real than one that only shows success screenshots.

3. Perceived Substitutability: Making "Free" and "Paid" No Longer Interchangeable

If users think "what you write is similar to Zhihu top answers," they will not pay you 3000.

Reducing substitutability relies on exclusive process assets: assessment form structures, stage assignments, crisis scripts, and the classifications accumulated in your own service (e.g., "social engagement relapse pattern," "overtime night addiction pattern," "family co-smoking pattern").

These can be framework-displayed, full script-hidden in content. Showing the framework is education; hiding the execution details is the product. In March 2024, I disclosed 4 of the "opening 7 questions," putting the remaining 3 questions and scoring rules into the paid assessment — both completion rate and consultation bookings rose, and there was no case of "everything copied, no one buying." Many people copy the framework; few copy your delivery discipline and follow-up intensity.

III. Three Educational Paths: Case Studies, Comparisons, Authority

The correct direction is these three. I write them to be actionable, not to follow textbook definitions.

Path A: Case Education — Let People See the "Process Their Money Buys"

How to Do It

Cases are not inspirational stories — they are replayable process slices. My structure is fixed at 6 segments:

Character background (smoking years, daily count, past failure attempts, trigger scenarios) — anonymized;

Day 0 assessment conclusion (rough dependence level, main risk points);

What happened in Week 1 (specific to day and scene);

One near-relapse handling (action-level, no chicken soup);

Week 4/8 indicators (self-reported smoke-free days, weight, sleep, mood — honestly reflect fluctuations);

Where he would most likely get stuck if he only read free articles.

In April 2024, I published a long case about "a Hangzhou internet industry worker, 11 years of smoking, 18 cigarettes per day, nearly broke on Day 11 during a company team-building event." No slogans — I wrote the handling of that night at 22:40 as a timeline: left the private room for 6 minutes, drank water, did two rounds of 4-7-8 breathing, sent a 28-second voice message to the coach, and the coach responded with crisis instructions 9 minutes later. That week, the 198 RMB assessment closed 23 deals (weekly average was 9–11 in the previous four weeks), and 14 of them opened with "I am exactly the type who breaks down at social events."

How to Raise Average Order Value

Do not just put "scan to consult" at the end of a case — do solution branching:

If your main risk is "physiological reactions in the first 10 days of withdrawal" -> mid-tier coaching is sufficient;

If your main risk is "high-frequency business socializing + cohabiting family members who smoke" -> higher-frequency follow-up and environmental intervention package (higher price) is needed.

With the same case, 40% bought the 3,280 RMB tier, and 8% upgraded to the 6,800 RMB "high-social-density enhanced version" (4 extra crisis voice channels + a social script manual). Average order value was lifted by risk profiling in cases, not by coupons.

Common Pitfalls

Only write "I quit, it is great" without the process -> looks like soft advertising, reduces trust;

Exaggerate success rates -> more leads come in, but more refunds and complaints kill the model;

Cases are all successes, no "relapse and restart" stories -> high-dependence users will not buy.

My rule: For every 3 process cases, include at least 1 "relapse and restart" case. Willingness to pay does not drop — it is actually more stable.

Path B: Comparison Education — Let Users Conclude "I Need to Upgrade"

What to Compare

In smoking cessation decisions, users are really comparing four things, not your logo vs. competitors:

Dimension	Left Column (Low Intensity)	Right Column (High Intensity/Paid)	Content Task
Method	Pure willpower	Structured support +/- medication/alternatives	Speak with success rate ranges and failure nodes
Cost	"No money spent"	Service fee	Calculate annual tobacco spend, health risks, time repetition cost
Time	Quit whenever, no plan	Has quit date, has stages	Show Day 0–3/Week 1/Week 4 action differences
Outcome	Self-blame after relapse	Restart protocol after relapse	Reduce "failure shame" that leads to avoiding payment

In May 2024, I published "Cold Turkey vs. Clinic Path vs. Online Coaching: Three Timelines for the Same 30 Cigarettes/Day User." I laid out three "virtual but merged from real clients" paths side by side:

Cold turkey: collapsed on Day 6, tried again 3 months later;

Medication only without follow-up: missed doses + social event in Week 2, back to 15 cigarettes on Day 18;

Coaching: crisis on Day 9, weight anxiety on Day 27, social script training on Day 56.

This article had no strong promotion, but in private channels a phrase surged in frequency: "I am on the left path." The victory sign of comparison education is users starting to describe themselves with your framework, not asking "are there any discounts."

How to Serve Average Order Value

The last column of the comparison table must land on support density at different price points:

99–199 RMB: One structured assessment + written risk profile (lets people know which type they are);

1,500–3,500 RMB: 4–8 weeks standard coaching (covers initiation and consolidation);

5,000+ RMB: High-risk scenario enhancement, dual-person family intervention, or coordination with offline medical resources (depending on your compliance and capability boundaries).

In the Sichuan study, emphasizing health benefits raised willingness to pay — in comparison articles, separate "just quitting smoking behavior" from "quitting + observable health indicator changes (morning cough, oral odor, shortness of breath when climbing stairs)." Users pay more for "the extra health benefit narrative," provided you actually track these indicators in your service, not just in your copy.

Common Pitfalls

Comparisons become belittling of users' past efforts -> triggers defensiveness, users close the page;

Compare only price, not failure cost -> educates users into "smarter bargain hunters," lowering average order value;

Fabricate extreme success/failure -> once exposed, the entire authority path is destroyed.

Path C: Authority Education — Use Credible Sources to Raise Anchors, Not Pile Up Papers to Scare People Away

What Authority Really Means to Users

Most people who want to quit do not want a "literature review." They want:

Is your method legitimate or just a gimmick?

Is there a scientific boundary if something goes wrong?

Are you more trustworthy than a "product-promoting blogger"?

The three-piece set of authority education:

**Source transparency**: 5A/behavioral support, nicotine dependence assessment, quitlines and clinic paths — use "what we borrowed and what we adapted" phrasing;

**Capability boundary transparency**: Which situations recommend offline medical consultation, what content and consulting can cover;

**Data restraint**: Use ranges and conditions, not "guaranteed cessation."

In June 2024, I publicly aligned the "opening assessment" to an explainable rough dependence evaluation logic (not claiming medical diagnosis) and clearly stated in content: high dependence, pregnancy, severe depression history, etc. — prioritize medical institution paths. That month, high-average-order-value consultations actually increased — people who dare to refer you away seem more trustworthy. Inbound volume dropped about 12%, average order value rose about 28%, and the profit sheet looked better.

How Authority Raises Average Order Value

Price anchors can be educated like this (examples — adjust numbers to your actual delivery):

In public research, people willing to pay can accept around **two thousand RMB** for effective cessation support;

If your 8-week coaching includes 6 video sessions + crisis response, it is benchmarked against "continuous intervention labor cost," not "six long articles";

Spread out the hourly rate, response time, and number of written plan pages on one sheet, and users will calculate "is it expensive" themselves.

In July 2024, when I raised the price from 3,280 to 3,680, I did not send out coupons first — I first published "Why We Extended the Coaching from 6 Weeks to 8 Weeks": adding the social identity transition and high-relapse window of Weeks 5–8. There was a small unsubscribe spike that week, but the trial -> package conversion rate barely dropped, and the average order value moved up a notch.

IV. Weaving the Three Paths into a Paying Funnel (Actionable Version)

1. User Stages and Content Tasks

User Stage	Typical Thought	Content Focus	Primary Path	Corresponding Product
Bystander	Smoking is harmful, I know	Specific harm scenarios, family exposure	Authority + Short Cases	Follow/Community
Shaken	I want to quit but fear failure	Failure nodes, cold turkey data	Comparison	Free Self-Assessment/Checklist
Comparing	Should I get help?	Process cases, delivery boundaries	Cases	Low-Cost Assessment
Decision	Which tier to choose	Risk profiling and solution branching	Comparison + Authority	Mid/High-End Coaching
Repurchase/Upgrade	Consolidation or second quit	Relapse restart, family intervention	Cases	Renewal Pack/Family Pack

2. A 6-Week Content Education Schedule (A Skeleton I Used)

Week 1: Problem Sharpening

2 articles on specific harms (pick ones users can perceive daily: oral, sleep, movement breathlessness, household odor)

1 short video/graphic: calculate "one year's cigarette money + one year's repeated quitting time"

Week 2: Comparison Launch

1 article: cold turkey vs. structured support

1 article: "Where Free-Content-Only Readers Get Stuck"

Private channel distribution: 3-question self-test (past failure count, daily cigarettes, whether has a quit date)

Week 3: Case Deep Dive

1 complete process case

1 relapse restart case

In comments: only answer "which risk type are you," do not discuss price

Week 4: Authority and Boundaries

Method sources and what the service does not do

Disclose partial fields of the assessment form

Open limited low-cost assessment spots (limited quantity is for delivery capacity, not false urgency)

Week 5: Solution Branching and Average Order Value

Article title directly: "Three Budgets Corresponding to Three Support Densities"

Use a table to align session count, response time, whether crisis channel is included

Collect objections: expensive, no time, afraid it will not work — address each in the next article

Week 6: Objection Handling + Conversion Close

Review 2–3 real (anonymized) deal reasons from this month

Clarify next step: Assessment → Solution Recommendation → Payment

**Prohibit** dumping large discounts before education is complete: it permanently destroys average order value

3. The Metrics I Use to Track Whether Content Is "Educating Enough"

Only track these — do not be held hostage by vanity metrics:

**Education completion rate** (long article read/open): look at trends, not single points;

**Self-test completion rate** (in private channels or on-page);

**Inbound question structure**: decline in "send me materials" ratio, rise in "plan/price/is this for me" ratio = education is working;

**Assessment conversion rate**;

**Assessment to mid/high tier conversion rate**;

**Average order value** (weekly/monthly) and **upgrade rate**;

**Refund rate and "not as described" complaints** — over-promising in education blows up here.

In Q3 2024, I reduced the "inbound asking for materials" ratio from 54% to 21%, while average order value rose from about 2,100 to about 2,900 (including more people directly buying the mid-tier). The content team did not add any staff — we just changed the topic selection from "write another harm article" to "plug another decision loophole."

V. Personal Views: Five Conclusions I Would Stake Profit On

1. Willingness to pay is primarily "cessation willingness + trust," with copywriting technique secondary. Research shows the pull of quitting willingness on payment willingness is very clear. If content never helps users form a "I am ready to start" window (quit date, family negotiation, work rhythm) and only stimulates anxiety, people will escape back to smoking instead of paying.

2. Average order value is the result of educated fit, not arbitrary price hikes. Raising prices without changing content structure only screens for pickier users and crashes conversion. First use case profiling, comparison tables, and authority boundaries to clarify "who should buy the expensive tier," then adjust pricing.

3. Cases > catchphrases, comparisons > slogans, authority > academic pileups. Catchphrases boost shares but rarely boost payment alone. Authority that does not help users make purchase decisions is just decoration.

4. Be kind to "free readers," be ruthless about the "conversion path." Many readers will always only consume free content — that is normal. Your content matrix must have clear conversion-oriented articles and a calendar, not just brand persona all year.

5. Content education has an ethical bottom line: the precondition for selling more expensively is genuinely stronger delivery. Packaging a 39 RMB chat into a 3,980 RMB "system" looks good for two months, but reviews and refunds will burn the account. The ultimate form of education is users clearly understanding they are buying higher-intensity support — and acknowledging "it was worth it" afterward.

VI. Action Checklist: 10 Things You Can Change Tomorrow

Label your last 8 articles as: Harm / Comparison / Case / Authority / Delivery Explanation — adjust if proportions are unbalanced.

At the end of each conversion-oriented piece, fix "what it can do / what it cannot do / next product."

Accumulate 5 anonymized process case materials (including at least 1 relapse restart).

Create a "three-tier support density" table — use it across all sales scripts and content to avoid message fragmentation.

Write a one-page price logic document (session count, duration, response, written deliverables).

In private channels, collect objections weekly — the next article addresses just one objection.

The assessment product **must** produce a **written risk profile**; otherwise, low-priced orders become pure consulting drain.

Before raising prices, publish a "delivery upgrade explanation" first, then change the price number.

Monitor inbound inquiry structure, not just inbound volume.

Set red lines: do not promise guaranteed cessation, do not fabricate cases, do not use unverified medical conclusions to promote products.

Conclusion: The Essence of Education Is Shortening the Dark Distance from "Understanding" to "Willing to Pay"

Going back to that cafe interview in November 2023. Only 2 out of 12 were willing to pay 2,980 — not because the articles were not enough, but because their mental formula was still:

Quitting smoking = I tough it out

Service = Someone talks with me

Talking with someone = You can find it online

Content education needs to change these three formulas. After successful change, users transform their formula:

Quitting smoking = A behavior change project with high failure rate

Service = A support system with assessment, stages, and crisis intervention

Price = The consideration for support density and outcome path

When the third line stands firm, willingness to pay shifts from "should I spend money" to "how much to spend on which tier"; average order value also moves from you pushing it to users choosing upward based on their own risk type.

I still write free content every week, and I will continue. Free content is responsible for lighting up a section of the dark distance; paid service is responsible for walking people through the most stumble-prone kilometers of that road. They are not opposites — the opposite is: operations that have only exposure, without education.

If you are running a smoking cessation service or account, ask yourself a tough question:

If all discounts stopped tomorrow, would your existing content alone still let users clearly articulate — why to pay, and why to pay this price?

If you can answer that, your education is earning money. If you cannot, do not increase your ad budget yet — fix your topic structure first. Average order value rarely loses to the market; it more often loses to "the half of the story still uneducated in the user's mind."