R — Original Text (Reading)
When customers think the product you are selling is good but do not quite believe it, you can use factual proof to dispel their doubts. Factual proof has two steps: first, collect the product's performance data; second, link the data to things the reader is familiar with. If the product's performance is not easy to quantify, then design an experiment to create a strong visual contrast.
— Guan Jianming, Chapter 2, 2.2
I — Methodological Skeleton (Interpretation)
The core logic of factual proof: replace empty self-praise with visible, tangible facts.
Direct proof route (two-step method):
- Collect precise data: Dig out the product's quantifiable performance indicators—not "very good," but "37% above the industry average."
- Link to familiar things: Precise data itself is meaningless; only when linked to things consumers are familiar with does it have perceptive power. Not "noise below 30 decibels," but "quieter than the sound of turning a page."
Indirect proof route (experiment method): 3. Design a visual experiment: When performance is inconvenient to quantify, design an experiment in which consumers can directly see the result. 4. Create extreme contrast: The key to the experiment is not to show how good the product is, but to show the huge contrast between "used" and "not used."
Common experiment types: burning (material purity), soaking (waterproofing/solubility), freezing (cold resistance), chemical reagents (ingredient authenticity).
A1 — Application in the Book (Past Application)
Case 1: Ogilvy's Rolls-Royce advertisement
- Problem: How can one sentence prove how quiet a Rolls-Royce is?
- Use of the methodology: Step one, collect data—at 60 miles per hour, the loudest noise inside the car comes from the electric clock; step two, link to familiar things—consumers have an intuitive perception of "the ticking of an electric clock."
- Conclusion: Instead of saying "very quiet," use a specific sound consumers can imagine to define the degree of "quiet."
- Result: This advertisement is widely regarded as one of the greatest car advertisements in history.
Case 2: Handmade facial soap foam experiment
- Problem: Handmade facial soap focuses on "rich foam," but "rich" is a subjective description, and consumers do not feel it.
- Use of the methodology: Design an experiment—rub handmade facial soap and commercially available industrial facial soap for the same amount of time, and compare the foam volume. The handmade soap's foam is 3 times as high as the other's.
- Conclusion: Visual contrast turns "rich foam" from an abstract adjective into a perceptible concrete fact.
- Result: After seeing the comparison image, consumers gained an intuitive understanding of the product's performance, and the conversion rate increased.
Case 3: Mattress egg experiment
- Problem: A mattress "conforms to the human body and disperses pressure" is technical language that consumers cannot understand.
- Use of the methodology: Place eggs on a mattress; after a person lies down on it, the eggs do not break. This extreme experiment turns the abstract concept of "pressure dispersion" into an intuitive image of "even eggs won't break."
- Conclusion: Using fragile eggs as a "pressure sensor" is more intuitive than any data.
- Result: The experiment video was widely shared on social media, far exceeding conventional product introductions.
Case 4: Pure cotton sanitary pad burning experiment
- Problem: Consumers suspect that the sanitary pad material is not pure cotton.
- Use of the methodology: Burn a pure cotton sanitary pad and a synthetic fiber sanitary pad at the same time—the pure cotton one burns into ash (disperses with a single blow), while the synthetic fiber one burns into a hard lump (with a pungent odor).
- Conclusion: The burning experiment directly exposes the material difference, which is more convincing than any ingredient list.
- Result: Consumers saw the material difference with their own eyes through the experiment, and trust increased significantly.
Case 5: Toothpaste plaque indicator experiment
- Problem: Toothpaste's "deep cleaning" is difficult for consumers to perceive.
- Use of the methodology: Before brushing, stain with a plaque indicator (dental plaque appears red), then test again after brushing—the red is greatly reduced. The before-and-after comparison is clear at a glance.
- Conclusion: Use an indicator to turn "invisible cleaning effectiveness" into a "visible color change."
- Result: The before-and-after comparison images became the most powerful proof of the product's selling point.
A2 — Trigger scenario (Future Trigger) ★
In what situations will users need this skill?
- The product has clear performance parameters, but you don't know how to make consumers "feel" the weight of the data.
- Consumers are half-believing and half-doubting the product efficacy, and intuitive facts are needed to dispel their doubts.
- The product advantage is in dimensions consumers cannot directly judge, such as "good material" or "pure ingredients," and needs to be indirectly proven through experiments.
- Competitors are also boasting, and objective data and experiments are needed to widen the gap.
- Preparing to shoot a product demonstration video or create comparison images.
Language signals
- "The product performance data is good, but how do we make consumers feel it?"
- "How do we prove that our product is really better?"
- "We need to do a product comparison experiment"
- "How do we translate technical parameters into language consumers can understand?"
- "I want to make an intuitive product demonstration"
- "How do we let consumers see the effect with their own eyes?"
Distinction from adjacent skills
- Difference from
authority-transfer: authority-transfer proves through endorsement by third-party authority, while factual-evidence directly proves through the product's own performance data and experiments. The former is "who said it," while the latter is "what the facts are." - Difference from
price-anchor: price-anchor uses price comparison to highlight cost-effectiveness, while factual-evidence uses performance comparison to highlight product strength. The former targets price perception, while the latter targets product perception.
E — Executable steps (Execution)
- Determine the proof route
- Completion criteria: Confirm whether the product's performance advantages can be quantified. If they can (such as noise level, weight, strength), take the direct proof route; if they are not easily quantified (such as material purity, cleaning depth), take the indirect proof (experiment) route.
- Direct proof — collect precise data
- Completion criteria: Write out the specific numbers for the product's performance. They cannot be vague descriptions like "better" or "stronger"; they must be precise data such as "37% higher" or "only 2.3 grams."
- Direct proof — link to familiar things
- Completion criteria: Find a counterpart in consumers' daily lives for each piece of precise data. Formula: "[data], equivalent to [familiar thing]." For example, "30 decibels, quieter than the sound of turning a page."
- Indirect proof — design an experiment
- Completion criteria: Design an experiment in which consumers can directly see the results. The experiment must satisfy: (1) fair conditions (same amount, same time, same environment); (2) intuitive results (judgeable by the naked eye); (3) strong contrast (obvious difference between the experimental group and the control group).
- Film/record the experiment process
- Completion criteria: Preserve the entire experiment process and show the three stages of "before the experiment — during the experiment — after the experiment" to enhance credibility.
- Final check
- Completion criteria: Confirm: (1) the data is precise and the source is reliable; (2) the analogies to familiar things are appropriate and not exaggerated; (3) the experimental conditions are fair and transparent; (4) after watching, consumers can directly reach the conclusion that "this product is indeed good."
B — Boundary ★
Do not use this skill in the following situations
- When the product performance has no obvious advantage (data comparison instead exposes weaknesses).
- When the product's advantage lies in emotional value rather than functional performance (such as gifts or souvenirs).
- When the experiment design may create safety hazards (involving open flames, chemicals, etc., requiring professional operation).
- When the performance gap is too small, and neither data nor experiments can create a sufficiently strong contrast.
Failure modes the author warns about in the book
- Data is not precise: Using vague words such as "greatly improved" or "significantly enhanced," consumers do not believe it. Precise numbers must be used.
- Inappropriate analogy: Linking to something consumers are not familiar with. "Noise below 30 decibels" linked to "quieter than a library" is fine; linked to "3 decibels higher than an anechoic chamber" is not.
- Unfair experimental conditions: In comparative experiments, setting unfavorable conditions for competitors (such as using less material or shortening time); once discovered, credibility is completely destroyed.
- Showing only data without linking: Posting a bunch of technical parameter tables without translating them into language consumers can understand.
The author's blind spots / era limitations
- The book does not discuss experiment presentation strategies for video/short-video platforms — on Douyin/Kuaishou, the experiment's pacing, suspense design, and BGM coordination all affect dissemination effectiveness.
- It does not cover interactive strategies for "user-participation experiments" — having consumers conduct the experiment themselves is more persuasive than watching an experiment.
- It does not discuss the integrated use of third-party testing reports — on platforms such as cross-border e-commerce and Tmall Global, third-party testing data has become standard.
Related skills (to be filled in phase 3)
- depends-on: copywriting-four-step-system
- contrasts-with: none
- composes-with: authority-transfer
Audit information
- Verification passed: V1 ✓ / V2 ✓ / V3 ✓
- Test pass rate: to be tested
- Distillation time: 2026-05-02