Reach = unique users who saw the ad. Impressions = total views. Impressions = Reach × Frequency. Use reach for awareness, impressions for delivery.

Metric — Reach vs Impressions

Reach = unique users who saw the ad at least once. Impressions = total times the ad was shown (one user × N views = N impressions). Relationship: Impressions = Reach × Frequency. Use reach for awareness goals (how many people saw it?); use impressions for delivery volume (how many total views?). Common confusion: "why are impressions higher than reach" — because the same user saw the ad multiple times.

Who is this for

Anyone reading the reach + impressions columns and unsure which to focus on, or wondering why they differ.

Definitions

Reach

The unique count of users who saw the ad. Each user counted once regardless of how many times they saw it.

If 100 unique users saw the ad: reach = 100.

Impressions

The total count of times the ad was shown. Each view counted, even repeats by the same user.

If those 100 users each saw the ad 2.5 times: impressions = 250.

The relationship

Impressions = Reach × Frequency

Or equivalently:

Reach = Impressions ÷ FrequencyFrequency = Impressions ÷ Reach

These three metrics are linked. Knowing two determines the third.

When reach matters most

Brand awareness

Goal: maximize unique people who know your brand.

Reach is the primary KPI. Higher reach = more brand exposure.

Top-of-funnel campaigns

Cold audience prospecting. You want to introduce your product to as many new people as possible.

Audience size validation

If reach plateaus at 50k for a 5M audience: targeting may be over-restrictive OR auction competition is fierce.

When impressions matter most

Delivery volume monitoring

Are your ads actually being shown? Low impressions despite high spend = delivery problem.

Pacing checks

Impressions per hour gives a sense of campaign velocity.

Ad rotation analysis

For multi-creative ads: impressions per creative shows which creative the system is favoring.

Worked example

You spend €100 on Meta. After 24h:

• Impressions: 5.000
• Reach: 2.000

Calculations:

• Frequency = 5000 / 2000 = 2.5
• CPM = (100 / 5000) × 1000 = €20

What this means:

• 2.000 unique people saw the ad
• Each person saw it 2.5 times on average
• Cost per 1000 impressions was €20

If you want more reach (more unique people), you might:

• Broaden audience (more available users)
• Increase budget (allow more delivery)
• Reduce frequency cap (force platform to show to new users)

If you want more impressions (more total exposure), you might:

• Increase budget
• Allow higher frequency (don't cap)
• Optimize for impressions (some platforms have impression-focused bid strategies)

Reach vs impressions in different contexts

Reels / Stories

Quick consumption — multiple views per user typical. Higher impressions:reach ratio.

Search ads

Each search = potentially different intent. Higher reach:impressions ratio.

Display / programmatic

Repeated exposure to same user common. Higher impressions:reach ratio.

Video (YouTube, in-stream)

Long-form: typically lower frequency. Higher reach:impressions ratio than short-form video.

Cross-platform reach is tricky

You can't easily add reach across platforms:

• Same user on Meta + Google = 2 platform reaches
• But it's 1 actual person

Cross-platform deduplicated reach is hard without a unified ID system. Wevion's cross-channel aggregations sum spend / impressions / clicks accurately but reach is approximate (best-effort).

For exact deduplicated cross-platform reach: use a tracker / DSP that bridges identities (advanced setup).

Healthy reach + frequency balance

Rule of thumb:

If reach % approaches 50% in a week: you're saturating; frequency will climb fast.

What you'll see in Wevion

• KPI strip (an-106): impressions + reach both shown when applicable
• Single Platform widgets: per-row reach + impressions + frequency
• Ads Manager: filterable / sortable by either
• Audience hub: demographic breakdown of who you reached

Common questions

Why is reach lower than I expected?

Likely:

• Audience smaller than estimated
• Auction competition lost (low bid)
• Targeting too narrow
• Recent platform changes (e.g. iOS privacy limiting Meta reach)

Why are impressions super high but conversions low?

Two scenarios:

• Wrong audience (high reach, no relevance)
• Wrong creative (audience sees but doesn't engage)

Cross-reference CTR + conversion rate.

Why does reach decrease over time?

Audience exhaustion. As you reach more of the available audience, marginal new users get harder. Counter: broaden audience or pause + restart later.

Can I optimize FOR reach?

Yes — Meta + Google have "Reach" campaign objectives that prioritize reach over other metrics. Different bid strategy than conversions / clicks.

FAQ

What is the difference between reach and impressions?

Reach is the count of unique users who saw your ad at least once, while impressions is the total number of times the ad was shown, including repeat views by the same person. If 100 unique users each saw the ad 2.5 times, reach is 100 and impressions are 250. Wevion shows both columns where applicable.

Why are my impressions higher than my reach?

Impressions exceed reach because the same user often sees your ad multiple times: each view counts as an impression while each user counts once toward reach. The two are linked by Impressions = Reach × Frequency, so a frequency of 2.5 means impressions are 2.5× reach. This is expected behavior, not an error.

Should I focus on reach or impressions in Wevion?

Focus on reach for awareness goals — it tells you how many unique people saw your ad, making it the primary KPI for brand awareness and top-of-funnel prospecting. Focus on impressions for delivery volume: low impressions despite high spend signals a delivery problem, and impressions per hour reveals pacing. Wevion's KPI strip surfaces both.

Is cross-platform reach accurate in Wevion?

Cross-platform reach is approximate (best-effort) in Wevion. The same person appearing on Meta and Google counts as two platform reaches but is one actual person, and deduplicating identities across platforms is hard without a unified ID. Wevion's cross-channel aggregations sum spend, impressions, and clicks accurately, but exact deduplicated reach needs a tracker or DSP.

Related articles

• Metric — Frequency
• Campaign metrics explained
• KPI strip — what each metric means