The raw count of unique clicks over time. Because clicks are real human actions untouched by Apple Mail Privacy, this is one of the most honest volume signals in the program.
At a glance
The total number of unique clicks per period bucket, plotted over the selected window. This is a count, not a ratio: it answers “how many real human clicks did the program generate” rather than “what fraction of delivered emails were clicked”. Because clicks require a deliberate human action, the count is not inflated by Apple Mail Privacy the way opens are, which makes it an unusually honest measure of demand. Read it next to the click-rate trend: rising click volume on a flat rate is genuine growth from more sending; rising volume on a falling rate means each send is working a little less hard.
| What it counts | The sum of clicks_unique per period bucket, plotted as an area chart over the selected window. |
| API endpoint + statistics field | POST /api/campaign-values-reports and GET /api/metric-aggregates for the Clicked Email metric, returning the clicks_unique statistic. |
| Email vs SMS aggregation | Email only by default. SMS link clicks are tracked separately and are not blended into this count. |
| MPP impact | None. Clicks are deliberate human actions and are not generated by Apple Mail Privacy, so this volume is a clean engagement measure. |
| Chart type | Area. |
| Time window | 30D vsP |
| Alert trigger | A sustained drop in click volume against the recent baseline, particularly when send volume held steady. |
| Roles | owner, marketing |
Calculation
Calculated automatically from your Klaviyo data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.Worked example
An illustrative outdoor-gear brand on Klaviyo running a steady campaign cadence. Reading the dashboard on 14 Apr 26 for the trailing 30 days (14 Mar 26 to 12 Apr 26), the clicked-volume area chart by week looks like this (illustrative figures):| Week | Delivered | Unique clicks | Click rate |
|---|---|---|---|
| 14-20 Mar 26 | 46,000 | 1,380 | 3.0% |
| 21-27 Mar 26 | 47,500 | 1,425 | 3.0% |
| 28 Mar-3 Apr 26 | 69,000 | 1,725 | 2.5% |
| 4-12 Apr 26 | 48,000 | 1,440 | 3.0% |
- Clicked volume is a count, so week 3’s rise to 1,725 is partly explained by sending 47% more email. The area chart rose, but a chunk of that is scale, not better engagement. This is why volume only makes sense next to the rate.
- The rate softened as the volume grew. Click Rate Trend slipped to 2.5% in week 3. The pattern “more clicks, lower rate” means you reached deeper into less-engaged contacts: more total clicks, but a smaller share of each send clicked.
- Because clicks are MPP-immune, this volume is a clean read of real demand. Unlike opened volume, you do not have to discount any of it for machine activity. Every click in this chart represents a human who chose to act, which makes click volume a strong proxy for genuine interest and downstream revenue potential.
- Judge the week 3 push by what the clicks did next. Click volume rose; the question is whether orders rose with it. Pair this card with Total Sends and your conversion metrics to see whether the extra clicks converted or just consumed list goodwill.
- A falling click volume on steady send volume is the pattern to escalate. That means the same number of emails are generating fewer human clicks, a genuine engagement decline with no MPP explanation to soften it. None of the weeks above show that, the week 3 lift is fully explained by send volume.
Sibling cards merchants should reference together
Clicked Trend is a volume metric. It is most useful next to a rate and a send count:| Card | Why pair it with Clicked Trend |
|---|---|
| Click Rate Trend | The percentage view of the same metric. Volume rising on a flat rate is healthy scale; volume rising on a falling rate is send pressure. |
| Email Click Rate | The single-period click headline. Combine with this count to judge whether more clicks came from more sending or more engagement. |
| Engagement Funnel | Places clicked volume in the full delivered, opened, clicked, converted cascade so you can trace whether clicks turned into orders. |
| Total Sends | The denominator behind volume. A jump in clicks alongside a jump in sends is expected; a jump with no extra sends is the interesting case. |
Reconciling against Klaviyo
Where to look in Klaviyo:- Klaviyo → Analytics → Metrics, then the Clicked Email metric, for the unique-clicks count over time.
- Klaviyo → Campaigns, then a specific campaign’s analytics, to attribute a click-volume spike or dip to a particular send.
- Klaviyo → Analytics → Performance, for the blended program view across campaigns and flows.
| Reason | Direction of divergence |
|---|---|
| Time zone. Vortex IQ buckets clicks by UTC day; Klaviyo uses your account time zone. Clicks near midnight can land in a different bucket. | Either direction, usually marginal. |
Unique vs total clicks. This card uses unique clicks (clicks_unique). A Klaviyo view showing total clicks counts repeat clicks and reads higher. | Ours reads lower against a total-clicks view. |
| Page caps. Campaign-values reporting pages at 50 records per pull, so very high-volume accounts may see slight aggregation truncation. | Reported volume runs marginally low for very large senders. |
| Bot or security clicks. Some corporate link-scanners click every URL to vet it, adding a small machine component Klaviyo and we both inherit. | Both systems read marginally high; the divergence between them is small. |
| Campaign vs flow scope. A campaign-only Klaviyo view will not match our blended campaign-plus-flow count. | Ours reads higher than a campaign-only view. |