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Return on Investment (ROI)

Return on Investment (ROI)

Return on Investment (ROI) is a performance measure used to evaluate the efficiency or profitability of an investment. Calculated as (net profit ÷ cost of investment) × 100, it expresses return as a percentage of the original outlay, making it possible to compare the value of different investments on a common scale.

Updated June 9, 2026

Metrics & Analytics

TL;DR

ROI tells you how much you earn for every dollar spent. For social proof tools like ShowTrust, the ROI calculation hinges on how much each percentage point of conversion improvement is worth.

Key Points

Formula: ROI = ((Revenue from investment − Cost of investment) ÷ Cost of investment) × 100.

A positive ROI means the investment generated more value than it cost; negative ROI means the opposite.

Social proof ROI is typically high because the setup cost is low and the compounding conversion benefits persist indefinitely.

ROI should be calculated over a realistic time horizon — social proof tools often deliver increasing returns as review volume grows.

Combining ROI with [[customer-lifetime-value|LTV]] analysis reveals the true long-term value of conversion improvements driven by trust.

Calculating ROI for Social Proof

To calculate the ROI of a social proof investment like ShowTrust, start with your current monthly revenue and Conversion Rate. Model the impact of a 10% or 20% conversion improvement — a conservative estimate based on industry benchmarks for testimonial additions — and multiply by your average order value or LTV. Subtract the cost of the tool and setup time to get net return. For example, if a site generates $50,000 in monthly revenue at a 2% conversion rate and adding testimonials lifts that to 2.4%, the incremental monthly revenue is $10,000 — against a tool cost of perhaps $99/month, that is a 10,000%+ ROI. A/B Testing provides the empirical lift figure that makes this calculation concrete rather than theoretical.

Demonstrating ShowTrust ROI to Stakeholders

Securing buy-in for a social proof tool requires speaking the language of business metrics, not just marketing intuition. Build a simple ROI case by anchoring on three numbers: CAC before and after, Conversion Rate before and after, and LTV of the customers converted. Showing that social proof reduces CAC (by converting more of existing traffic) and potentially increases LTV (customers who convert through trusted social proof often stay longer) creates a compelling compounding argument. Trust Score improvements can also be framed as risk reduction — a business with a strong, verifiable review profile is less exposed to a single competitor or pricing war eroding its market position.

Sources & References

1
Return on investment — Wikipedia

Last updated: June 9, 2026

Related Terms

Customer Acquisition Cost (CAC)

Customer Acquisition Cost (CAC) is the total cost of acquiring a new customer, calculated by dividing all marketing, advertising, and sales expenses over a given period by the number of new customers gained in that same period. It is one of the most fundamental unit economics metrics for evaluating the efficiency and scalability of a business.

Customer Lifetime Value (CLV)

Customer Lifetime Value (CLV), also known as LTV, is the total net revenue a business can expect to earn from a single customer account over the entire duration of their relationship. It factors in purchase frequency, average order value, gross margins, and retention duration, making it a fundamental input for acquisition budget decisions, pricing strategy, and customer success investment.

Conversion Rate

Conversion rate is the percentage of visitors who complete a desired goal — such as signing up, purchasing, or submitting a form — out of the total number of visitors in a given period. It is one of the most direct measures of how effectively a website or campaign turns interest into action.

A/B Testing

A/B Testing is a controlled experiment that compares two variants — A (the control) and B (the challenger) — of a web page, email, or individual element to determine which performs better on a specific metric. By randomly splitting traffic between the two versions and measuring outcomes, A/B testing replaces guesswork with statistical evidence.

Trust Score

A Trust Score is a composite metric or rating that aggregates multiple trust signals — including review volume, average star rating, recency of reviews, response rates, verified badges, and third-party certifications — into a single number or tier that represents the overall perceived trustworthiness of a business to prospective customers.

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