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reopt Handbook
reopt Handbook
Customer Conversion Simulation

Reading Guide

How to Read the EvidenceConversion Rate Intervals

Conversion Atlas

Conversion Atlas by ChannelConversion Atlas by ProductConversion Atlas by RoleKorean Conversion Atlas

Paid Marketing

Paid Channel BaselinesReported and Incremental ConversionsCreative, Retargeting, and Saturation

Referral Marketing

Referral Funnel MetricsReferral Experiments and Limits to Spread

Partners and Influencers

Influencer Marketing ConversionPartnerships, Collaborations, and Sponsorships

Ecommerce

Ecommerce Conversion BaselinesEcommerce Funnels and CartsEffect Sizes of Ecommerce Levers

SaaS

Self-Serve SaaS ConversionEarly-Stage SaaS ConversionSales-Led Conversion

Apps

Mobile App Acquisition and RetentionApp Subscription ConversionDesktop App Conversion

Consultation and Application Forms

Building Forecasts

Expert Forecasts and CalibrationChoosing a Forecasting ModelLLM Synthetic Customers

Korean Case Studies

Korean Cases: Advertising and CommerceKorean Cases: Consultations, Finance, and Public Experiments

Appendix

Handbook›Customer Conversion Simulation›Influencer Marketing Conversion
한국어KOEnglishEN

Influencer Marketing Conversion

Trace the $5.78 influencer ROI claim, distinguish discount-code attribution from incrementality, and assess follower size, disclosure, and Korean live-commerce figures.

Written and reviewed by Eric Han · Co-founder & CTO, reopt

Key takeaways

  • The widely cited $5.78 appears to update an EMV-related figure from the previous year; the original was not verified. The 2019 edition reports EMV of 5.2 times spend but directly tracked ecommerce returns around 0.8 times, excluding later and non-click purchases.
  • The mean ROIS of 17.85 for nano-influencers is based on discount-code attribution and is driven by extreme values. The overall median is 1.66.
  • We found no independent peer-reviewed randomized experiment measuring sales. The grade A evidence found concerns TV viewing.
  • Studies favoring nano versus large influencers use different outcomes and measures. Do not mix engagement with code-attributed revenue.
  • Sponsored-post share increased after disclosure regulation. We found no quantified sales effect of disclosure.

What Is the $5.78 Claim?

Four numbers from the same source
Over 2,000 NeoReach campaigns. EMV monetizes exposure/engagement; branding compares effectiveness with other brand-building methods. Only direct response and ecommerce are directly tracked.
  • Branding campaigns8.0×
  • Average EMV5.2×
  • Direct response1.8×
  • Tracked ecommerce returns0.8×
Vertical line: Equal to costSource: Influencer Marketing Hub 2019

The $5.78 appears to be the following year's update in this series (2020 PDF inaccessible; summary only). The original states that 0.8 times excludes branding value, later purchases, and purchases without clicks. The $6.50 claim comes from self-reports by 125 marketers in 2015. Do not use these as inputs. TikTok Spark Ads claims of 142% and 43% circulating in blogs were also excluded because they could not be verified on TikTok's official pages.

Discount-Code Attribution: Beichert et al.

Beichert et al. (Journal of Marketing, 2024) analyze 2,808 codes, 1,698 influencers, and 1.88 million units sold in European D2C fashion. ROIS is (code revenue − cost) ÷ cost: revenue-based, not margin-based (observational, grade B). Costs are estimated by the authors using industry information rather than observed, making revenue per follower a safer input.

SizeMean ROISRevenue per follower
Nano, 1,219–8,496 followers17.85€0.265
Micro5.98€0.080
Macro, 49,845–1.4 million followers4.67€0.049
Overall mean8.55€0.117
Overall median1.66€0.030

Three field studies in the same paper report paid Instagram Story code/link revenue per follower of €0.001–0.008 for low-follower creators and €0.00006–0.0001 for high-follower creators. Approximate ratios calculated from means give revenue ÷ compensation of about 0.004–0.43, all below 1. Relative size comparisons may be robust while absolute returns depend on the sample. Management costs for many nano creators and long-term effects are excluded.

Code attribution can err in both directions

Codes miss people who buy without a code and can claim existing customers who search for one (author judgment). Without a no-ad control, incrementality is unknown. Compare total revenue across control regions or periods without influencer activity.

Incremental Evidence

EvidenceFigureNatureGrade
Gong et al., JMR 2017Company Weibo tweets raised viewing 77%; influencer retweets added 33%. Authors' rough returns were 698% for tweets and 87% for tweets plus retweets, excluding carryover. Retweets alone yielded CNY 674 versus 1,000 cost, calculated98 randomized programs; TV viewing cannot be transferred to sales conversionA
Meta partnership adsMedian incremental purchase cost −45% when partnership ads made up at least 30% of assets. 20 EMEA tests, January–June 2025, 92% confidencePlatform experiments; reviewed only via articleC (via press)
Yang et al., 2022 working paper, 2025 Marketing Science version unverifiedA 1% increase in product-related engagement associated with +2.58% sales. Overall video engagement did not moderate sales liftObservational identification; about 20,000 videosB
IPA via Meta white paperShort-term ROI index 99; long-term 151Modeled values; original unverifiedC (via press)

Yang et al.'s distinction between engagement and sales is particularly relevant in practice.

Follower Size: Separate the Outcomes

OutcomeDirectionEvidence
Code-revenue ROIHigher for smaller creatorsBeichert et al., B
Engagement elasticityA 1% spending increase yields 0.457% more engagement; positive size effectLeung et al., 2022, B (summary)
Median engagement rateInstagram nano 1.78%; macro/mega about 0.33–0.35%HypeAuditor 2026 coverage, C (via press)

Advertising Disclosure

Ershov and Mitchell (RAND, 2025) use difference-in-differences around tighter German regulation (12,000 creators, grade B). Sponsored-post share rose 4.6 percentage points, or 2–4.6 points under alternative classifiers, while likes fell more than 50% relative to the baseline mean. The authors identify engagement as an imperfect proxy for attention. This is not a sales effect. Another result reports a 0.19% subscriber decline for channels posting sponsored videos (Cheng, Zhang et al. press release).

Korean Fair Trade Commission detections totaled 108,709 in 2021–2025, but these are monitoring counts, not a violation rate. We found no Korean estimate of disclosure's sales effect. Legal disclosure duties apply regardless of effectiveness.

Korean Live Commerce

Most frequently quoted figures originate in estimates. Do not use eBEST's 2020 report figures of 5–8%, sourced only to “industry data, TWOAB,” the 20% Chinese wanghong claim, or one TMON broadcast's 2.2% (all D). Naver cumulative buyers ÷ cumulative views of about 0.9–1.0% (calculated, C), plus Naver/Kakao figures, appear in Korean Cases. We found no official value explicitly defined as a conversion rate.

Simulation Inputs

StageInputEvidence and conditions
Code revenue per follower€0.00006–0.03Attributed. Overall mean €0.117 and nano mean €0.265 are tail-driven and useful only for checking an optimistic scenario
Attributed ROISNegative to 1.66Revenue-based; costs estimated by authors. Applying margin lowers returns further
Partnership-ad incremental cost change0 to −45%Platform evidence; discount the −45% end

Do not use $5.78, $6.50, 17.85, or live-commerce 5–8% / 20% as inputs.

Compensation and contribution margin are illustrative, except field-study preset followers and compensation, which use Beichert et al.'s means. We found no independent CPM/CPE benchmark; enter actual quotes.

Related docs

Effect Sizes of Ecommerce Levers

Distinguish evidence on speed, reviews, free shipping, discounts, and checkout UX, and examine realistic A/B test effects.

Conversion Atlas by Channel

Compare click-through rates, conversion rates, and costs across Google search, Meta, TikTok, LinkedIn, email, and referrals with evidence grades.

B2B SaaS Sales and Customer Success

A GTM operating handbook for pipeline, onboarding, expansion, renewal, and ARR quality.

Referral Experiments and Limits to Spread

Examine research on referred-customer value, incentive experiments, and viral diffusion, and why assuming K above 1 is risky.

Partnerships, Collaborations, and Sponsorships

Distinguish attribution and incrementality in affiliates, B2B partner win rates, podcast and newsletter sponsorships, and brand collaborations, with attention to denominators.

On this page

What Is the $5.78 Claim?Discount-Code Attribution: Beichert et al.Incremental EvidenceFollower Size: Separate the OutcomesAdvertising DisclosureKorean Live CommerceSimulation Inputs