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Marketing Academy · Field Work●Social Media Marketing
MiniAudit· 25 minutes

Reading a Share-of-Voice Report Before You Trust It

TAC Security (TAC Infosec)

Objective: Given a weekly Share of Voice export across a 5-brand competitive set broken out by audience segment, find where the brand is actually strong even though the blended overall number looks flat.

You're the marketing analyst at TAC Security, benchmarking Share of Voice against four competitors after a product launch, and the headline number hasn't moved.

Don't stop at the blended SOV number. Segment it by audience to find where the launch actually changed the conversation.

Before you start

What you'll need

Free path (everything below is enough to finish)

FreeCatch new mentions of your brand and each competitor as they're indexed

Free and requires no setup beyond a query per brand

FreeTag each mention by audience segment and calculate SOV by segment

Free, and a simple pivot is enough to split a 5-brand mention set by segment

Paid upgrades (optional, faster/deeper)

Brandwatch(optional)
PaidAutomate mention collection and segment tagging at a scale Google Alerts can't match

Enterprise-grade query syntax and larger source coverage once mention volume outgrows manual tagging

No access? Google Alerts plus manual tagging in Google Sheets covers the same workflow at lower mention volume

The process

1 step

Step 01 of 01

Segmenting Share of Voice by audience instead of trusting one blended number

The lesson says to benchmark SOV by audience segment, because a brand can be strong in one segment's conversation and invisible in another while the blended total looks unchanged.

Overall SOV moved from 11% to 12% this month, barely worth reporting. Segmented by audience, SOV in enterprise-security discussions moved from 9% to 21%, while SOV in SMB-security discussions dropped from 13% to 8%. What does the blended number hide?

Google Alerts— A weekly mention log, tagged by audience segment and tallied in a spreadsheet.

Procedure

  1. Pull the week's mentions for your brand and the 4-competitor set
  2. Tag each mention's audience segment (enterprise vs. SMB) based on the source and discussion context
  3. Calculate SOV separately within each segment, not just overall
  4. Compare segment-level trends to the blended trend to see what's actually driving or masking the overall number
Sample output
SOV by segment, this month vs. last

Overall: 11% -> 12% (looks flat)
Enterprise-security: 9% -> 21% (real launch win)
SMB-security: 13% -> 8% (quietly losing ground)

Healthy

Reports both segment trends, flags the SMB decline as something to act on even though overall SOV rose.

Unhealthy

Reports only the blended 11%->12% figure and calls the launch a modest success.

What this means

A blended SOV number can hide a real win and a real loss happening at the same time, canceling each other out in the topline metric.

So what do I do about it?

SymptomActionEffort
SOV trend looks flat month over month despite a major launchRe-run SOV segmented by audience before concluding the launch had no effect30 min
YouYou can do this yourself, no engineering access required.

Final deliverable

A segmented SOV table showing where the brand actually gained or lost ground, alongside the blended figure.

See a reference example
Sample output
Freshworks, SOV by Segment (excerpt)

Overall SOV: 14% -> 15%
Developer-tools segment: 6% -> 17%
IT-ops segment: 19% -> 14%

Takeaway: the launch resonated with developers but lost ground in IT-ops; the blended number hid both.

Success criteria

You're done when you can:

  • Calculates SOV separately for at least two audience segments, not just the blended total
  • Identifies a segment-level trend the blended number obscures