ReferralsReviews
Evidence check: 3.5/5Journal of Marketing Research · 2020
For your marketing
Test whether reducing the recipient's cost or increasing their benefit works better than paying the referrer alone. Measure completed, retained customers and net contribution.
Plain-English take
Across the experiments, recipient-benefiting prosocial referral incentives recruited more new customers than comparison incentives in the studied contexts.
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AdvertisingReviews
Evidence check: 2.5/5Journal of Marketing Research · 2025
For your marketing
Social proof may matter more when brand familiarity is low, but the effect can depend on audience behavior. Test against downstream conversion and avoid optimizing for visible engagement alone.
Plain-English take
Displaying more likes increased click-through rates for lesser-known brands but not for well-known brands.
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Reviews
Evidence check: 3.5/5Journal of Marketing Research · 2023
For your marketing
Test the timing of review requests after users experience value. Randomize timing and report both posting and review quality, while avoiding pressure tactics that can undermine trust.
Plain-English take
Immediate reminders reduced review posting relative to a randomized immediate control group without a reminder.
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Reviews
Evidence check: 3.5/5Journal of Marketing · 2026
For your marketing
If review volume matters, test request timing and compare response rate and rating distribution. Avoid interpreting a weekend average as evidence that customers or product quality change on weekends.
Plain-English take
Weekend reviews averaged about 0.04 stars lower; a negative pattern appeared on 26 of 33 platforms.
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ReviewsSales
Evidence check: 3.5/5Journal of Retailing · 2014
For your marketing
Use as evidence that review volume and valence can matter while designing review and reputation programs. For SaaS, monitor independent review sources and test whether reviews influence qualified pipeline or conversion.
Plain-English take
Review valence and volume were positively related to sales elasticities.
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Reviews
Evidence check: 3.5/5Journal of Marketing Research · 2017
For your marketing
A reminder to measure paid social against business outcomes and distinguish paid exposure from organic engagement. Do not treat follower or like counts as a standalone growth metric.
Plain-English take
Acquired likes had a positive causal effect on offline behavior when the firm used the page for paid promoted posts.
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Reviews
Evidence check: 2.5/5Marketing Science · 2005
For your marketing
Treat third-party badges as a positioning choice to test, not an automatic conversion lift. Consider whether the review source and product attributes make the endorsement credible and distinctive.
Plain-English take
Depending on product and review conditions, advertising can be a better response than price changes.
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ReviewsSales
Evidence check: 3.5/5Journal of Retailing and Consumer Services · 2020
For your marketing
A second synthesis supporting a context-dependent view of reviews. Check whether your SaaS category and buyer risk resemble the products represented before applying an effect.
Plain-English take
Looking across the studies, product-category moderation.
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ReferralsReviewsSales
Evidence check: 3.0/5Journal of Marketing Research · 2006
For your marketing
A foundational example of why negative feedback may carry asymmetric weight and why review text can matter. SaaS buyers and review platforms differ, so test the effect on your own category and conversion path.
Plain-English take
An improvement in a book's reviews increased its relative sales at that site.
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Reviews
Evidence check: 4.0/5Journal of Business Research · 2023
For your marketing
Treat visible popularity as context-dependent social proof. Test its impact on trial starts or qualified conversions by visit timing and product interest rather than assuming likes universally build trust.
Plain-English take
Likes increased revenue mainly during non-work hours, when they raised likelihood of buying; the effect was strongest for already popular products.
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PlatformsReviews
Evidence check: 3.5/5Marketing Science · 2025
For your marketing
Shows how a credible third-party signal may lift perceptions of the whole marketplace, not just highlighted listings. For SaaS, test proof placement and source credibility separately.
Plain-English take
Endorsements increased search and purchases for endorsed as well as unendorsed services.
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PlatformsReferralsReviews
Evidence check: 3.5/5Journal of Business Research · 2023
For your marketing
Useful for thinking about trust signals and why a testimonial's source, context, and platform matter. It synthesizes consumer eWOM literature, not B2B SaaS review outcomes specifically.
Plain-English take
Review- and reviewer-related characteristics were positively associated with online word of mouth credibility, which in turn related to purchase intention, online word of mouth adoption, and product attitude.
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PlatformsReviews
Evidence check: 3.0/5Marketing Science · 2013
For your marketing
A useful model for thinking about how reputation accumulates and affects buyer choice in a digital marketplace. Treat ratings as a long-term asset and account for selection when measuring their value.
Plain-English take
Buyers were forward-looking and placed significant weight on seller reputation.
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Buyer behaviorReviews
Evidence check: 3.5/5Data and Information Management · 2024
For your marketing
A broad synthesis of review signals and trust factors. Use it to form hypotheses for SaaS proof and reputation pages, while measuring actual qualified conversion rather than intention alone.
Plain-English take
All analyzed review antecedents were significantly related to purchase intention; review valence had the largest reported association (r = 0.563).
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Free trialsReviews
Evidence check: 2/5Information Systems Research · 2019
For your marketing
Use as a bounded example of an empirical study of free product sampling and rating bias; compare its context and design with your own market before applying its result.
Plain-English take
Free sampling raised ratings by 1.1%; rating bias was larger at higher original prices and smaller with larger discounts and greater product popularity.
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Free trialsReviews
Evidence check: 2.5/5Journal of Management Information Systems · 2013
For your marketing
Use the study to frame a pricing or packaging hypothesis and identify outcomes to measure; estimate effects with your own customer mix and willingness-to-pay evidence.
Plain-English take
Trial format and ratings affect software sampling/adoption outcomes, demonstrating that “free trial” design and social information jointly matter.
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Product adoptionReviewsSales
Evidence check: 2.5/5Industrial Marketing Management · 2005
For your marketing
Use as a mechanism or sales-process design reference. Validate the relationship in your own deal size, buying committee and sales cycle.
Plain-English take
Tests training and support as moderators of the SFA-adoption/performance relationship rather than assuming a direct effect.
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Reviews
Evidence check: 2.5/5Marketing Science · 2025
For your marketing
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Plain-English take
Safety reviews and personal safety experiences reduced bookings; removing vicinity-safety reviews could increase Airbnb reservation revenue under unchanged beliefs, but highlighting/removing effects reverse under rational updating; review–crime correlation is stronger in low-income/minority neighborhoods.
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Reviews
Evidence check: 3/5Decision Support Systems · 2008
For your marketing
Use it as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Plain-English take
Review volume is positively associated with box-office demand, while the relationship between review valence and sales is more nuanced; review activity can be a demand signal as well as influence.
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ReviewsSales
Evidence check: 3/5International Journal of Electronic Commerce · 2012
For your marketing
Use it as a sales-process or B2B mechanism reference. Validate the relationship in your deal size, buying committee and sales cycle.
Plain-English take
Review quantity, rating, and review content are empirically related to new-product sales; the paper analyzes both numerical ratings and textual review effects.
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Reviews
Evidence check: 3.5/5Journal of Retailing · 2021
For your marketing
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
Plain-English take
Consumers are more willing to accept a reviewer’s recommendation when the reviewer’s historical ratings in a product domain show greater variance; the publisher reports consistent support across five experiments.
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Reviews
Evidence check: 4/5Journal of Retailing · 2014
For your marketing
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
Plain-English take
Recent reviews are more influential for near-future decisions, whereas outdated reviews become relatively more influential for distant-future decisions; temporal/construal fit drives engagement and influence on preferences.
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Product adoptionReviews
Evidence check: 3/5Computers in Human Behavior · 2010
For your marketing
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
Plain-English take
The influence of social norms on adoption intention was stronger for women, whereas the influence of enjoyment was stronger for men.
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Free trialsPricingReviews
Evidence check: 2.5/5Psychology & Marketing · 2019
For your marketing
Use this as a pricing or packaging hypothesis and define outcomes to measure; estimate effects with your own customer mix and willingness-to-pay evidence.
Plain-English take
The study identifies two opposing intuitions—free mentality (expecting digital services at no cost) and price–quality inference (expecting higher price to signal higher quality)—and reports that their interplay shapes responses to freemium offers and can help explain low premium conversion.
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PricingReviews
Evidence check: 2.5/5Information Systems Research · 2019
For your marketing
Use this as a pricing or packaging hypothesis and define outcomes to measure; estimate effects with your own customer mix and willingness-to-pay evidence.
Plain-English take
The model predicts that firms can manipulate pricing to influence reviews and sales and can dynamically adjust prices in response to online word of mouth; the panel-data difference-in-differences study is presented as empirical support for those predictions.
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Buyer behaviorReviews
Evidence check: 2.5/5Information Systems Research · 2021
For your marketing
Use it as a product, platform or behavior mechanism reference rather than a direct forecast for a SaaS funnel.
Plain-English take
Mean ratings of substitutive products negatively affect focal-product purchase while ratings of complementary products have a positive effect; spillovers are stronger on mobile, across different brands for substitutive products, among less experienced consumers, and when rating variance is lower.
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AICloud computingProduct adoptionReviews
Evidence check: 3/5Business Process Management Journal · 2026
For your marketing
Treat this as evidence for the specific customer behavior and adoption question studied. Compare the setting and sample to your company before changing a growth decision; use a local experiment where the paper does not match your context.
Plain-English take
Information quality and service quality significantly enhanced perceived business-process performance; system quality did not have a meaningful direct effect; perceived AI usefulness amplified the effects of system and information quality. For a founder, use this as a question to test in your own context, not a universal playbook.
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