Online share of voice (OSOV)

Online share of voice, or OSOV, estimates how much detectable online discussion concerns a brand relative to a defined competitor set. It can reveal visibility and conversation themes, but volume is not the same as attention, sentiment, reputation or business impact.

When to use it

• Answer: “What share and sentiment of measurable online discussion concerns our brand versus selected competitors?”
• Assess the KPI within the Marketing and sales perspective.
• Govern queries, sources, language, formula, frequency and data access.
• Compare trends only when coverage and competitor definitions remain consistent.

Origins

Share of voice originated in advertising as a brand’s share of category media activity. Online measurement adapted the concept to web and social mentions as searchable platforms and listening tools emerged. It has no single inventor.

What it is

Perspective: Marketing and sales perspective.

Key performance question: To what extent and in what sentiment is our brand talked about compared to our competitors?

Historical tools such as Social Mention and Radian 6 offered mention counts, sentiment and related indicators; the Radian 6 name itself belongs to that earlier tool landscape. Tool ownership, access and coverage change, so verify availability and never assume a platform captures the public internet.

OSOV divides brand mentions by mentions for the brand plus the defined competitors. Results depend on disambiguation, language, source access, bot filtering and the comparison set. Sentiment models frequently misread irony, context and mixed opinions.

How to use it

Measurement

Create a query dictionary covering names, misspellings, products and exclusions. Document countries, languages, platforms, period and competitors. Validate a sample manually.

Data collection method

Use authorised listening tools or platform interfaces. Comply with terms, privacy and data-protection law; do not infer sensitive traits or identify individuals unnecessarily.

Formula

Report raw eligible mentions alongside the share so denominator changes remain visible.

Frequency

Alerts may run daily for genuine service or safety escalation. Strategic reporting is often weekly or monthly. Define crisis rules that distinguish material harm from ordinary criticism.

Source of the data

Sources are the specific platforms and archives accessible to the selected tool. Coverage is partial and can change without notice.

Cost/effort in collecting the data

Automated collection lowers manual effort, but query maintenance, de-duplication, spam detection, language review, sentiment validation and governance remain substantive costs.

Target setting/benchmarks

A majority is not automatically desirable if attention is negative or artificial. The inherited heuristic says 50% when there is one competitor and above 10% when comparing against 10 others; neither is a valid universal target. Set goals from strategy, baseline and healthy conversation quality.

Example

A historical Social Mention example compares McDonald’s, Burger King, Wendy’s and Hardees using http://socialmention.com.

The original calculation for McDonald’s is shown here:

A positive-and-neutral-only variant follows:

Excluding negative mentions can make a brand appear stronger precisely when criticism is rising. Report sentiment categories separately rather than deleting inconvenient evidence.

Top practical tip

Audit sentiment and entity matching manually. If using the inherited five-point weighting—positive = 5, neutral = 3 and negative = 1—label it as a chosen index, show category counts and test whether alternative weights change the conclusion.

Top pitfall

A larger share can come from scandal, bots or query bias. Never optimise mention volume without examining source quality, sentiment, reach and business relevance.

Further reading

www.clickz.com/clickz/column/2096125/tips-improving-online-share-voice

www.radian6.com/

www.socialmention.com/