> ## Documentation Index > Fetch the complete documentation index at: https://docs.vortexiq.ai/llms.txt > Use this file to discover all available pages before exploring further. # Click Rate Trend, Klaviyo > Click Rate Trend for the selected period. A cleaner engagement signal than open rate because clicks are real human actions, untouched by Apple Mail Privacy. How to read it, why it matters, and how to act on it. **Card class:** [Non-Hero](/nerve-centre/overview#card-classes-explained) • **Category:** [Email Marketing](/nerve-centre/connectors#connectors-by-type) > Click rate over time. Unlike open rate, clicks are a real human action that Apple Mail Privacy does not inflate, so this is your cleanest top-of-program engagement signal. ## At a glance > The time-series of click rate across the selected period, one point per period bucket, computed as `clicks_unique ÷ delivered`. Because a click requires a deliberate human action, this metric is not distorted by Apple Mail Privacy Protection the way open rate is. **That makes the click-rate line the most trustworthy high-level engagement signal in the whole email program.** When open rate wobbles but click rate stays flat, the open wobble is almost always MPP noise or inbox placement, not a real change in interest. A genuine engagement decline shows up here first, in clicks. | | | | ----------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **What it counts** | Click rate per period bucket, `clicks_unique ÷ delivered × 100`, plotted as a line 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 `click_rate` statistic, derived from `clicks_unique` over `delivered`. | | **Email vs SMS aggregation** | Email only by default, so SMS link clicks do not dilute or inflate the email click rate. | | **MPP impact** | None. Clicks are deliberate human actions and are not auto-generated by Apple Mail Privacy, which is why this is a cleaner signal than open rate. | | **Chart type** | Line. | | **Time window** | `30D vsP` | | **Alert trigger** | A sustained downward step in the click line, which is a genuine engagement-decline signal rather than MPP noise. | | **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 fashion brand on Klaviyo running campaigns plus a few automated flows. Reading the dashboard on 14 Apr 26 for the trailing 30 days (14 Mar 26 to 12 Apr 26), the click-rate line by week looks like this (illustrative figures): | Week | Delivered | Unique clicks | Click rate | Open rate (for context) | | --------------- | --------- | ------------- | ---------- | ----------------------- | | 14-20 Mar 26 | 38,000 | 1,140 | 3.0% | 45.0% | | 21-27 Mar 26 | 39,500 | 1,185 | 3.0% | 38.0% | | 28 Mar-3 Apr 26 | 37,800 | 1,134 | 3.0% | 44.0% | | 4-12 Apr 26 | 40,200 | 844 | 2.1% | 45.0% | ```text theme={null} Week 4 click rate = 844 ÷ 40,200 × 100 = 2.1% Drop vs the 3.0% baseline = 0.9 percentage points, roughly a 30% relative fall ``` Five observations: 1. **Notice week 2: open rate fell to 38% but click rate held at 3.0%.** That divergence is the textbook MPP pattern. The open dip was noise (an MPP or inbox-placement fluctuation), not a real engagement change, and the steady click line confirms humans were just as engaged. This is exactly why the click line is more trustworthy. 2. **Week 4 is the genuine warning.** Click rate fell to 2.1% while open rate stayed at 45%. A real click decline with no open decline means people are opening but no longer finding a reason to click. The cause is almost always content: weaker offers, a less relevant segment, or creative fatigue, not deliverability. 3. **Because clicks are MPP-immune, a click-rate drop should always be taken seriously.** There is no benign auto-generation to explain it away. When this line steps down and stays down, the program genuinely engaged fewer people, and the fix lies in targeting, offer, or creative. 4. **Read click rate next to click-to-open rate to localise the problem.** If [Click-to-Open Rate](/nerve-centre/kpi-cards/klaviyo/click-to-open-rate) also fell in week 4, the content failed the people who opened. If CTOR held but click rate fell, the problem was upstream (fewer of the right people opened in the first place). 5. **A flat click line through open-rate turbulence is a sign of a healthy program.** It tells you the underlying audience relationship is stable even when the open metric is being jostled by MPP. Use it as the anchor when open rate looks alarming but nothing real has changed. ## Sibling cards merchants should reference together Click Rate Trend is your cleanest engagement anchor. Pair it with these to localise any movement: | Card | Why pair it with Click Rate Trend | | ------------------------------------------------------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------- | | [Email Click Rate](/nerve-centre/kpi-cards/klaviyo/email-click-rate) | The single-period click headline behind this line. The trend gives the shape; the headline gives the latest reading. | | [Click-to-Open Rate](/nerve-centre/kpi-cards/klaviyo/click-to-open-rate) | Isolates content quality among openers. A click-rate drop with steady CTOR means fewer opened; with falling CTOR means the content failed openers. | | [Clicked Trend](/nerve-centre/kpi-cards/klaviyo/clicked-trend) | The volume view of the same metric. A flat rate on rising volume is healthy scale; a falling rate is genuine engagement decline. | | [Engagement Funnel](/nerve-centre/kpi-cards/klaviyo/engagement-funnel) | Places the click step inside the full delivered, opened, clicked, converted cascade so you can see where a click move bites downstream. | | [Conversion Rate](/nerve-centre/kpi-cards/klaviyo/conversion-rate) | The next step after a click. Clicks that do not convert point to a landing-page or product-page problem rather than an email one. | ## Reconciling against Klaviyo **Where to look in Klaviyo:** * Klaviyo → Analytics → Performance, then the click-rate metric over time, for the program-level trend. * Klaviyo → Campaigns, then a specific campaign's analytics, to attribute a click-rate move to a particular send. * Klaviyo → Analytics → Metrics, then the Clicked Email metric, which underlies the rate. **Why our number may legitimately differ:** | Reason | Direction of divergence | | ------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------- | | **Time zone.** Vortex IQ buckets by UTC day; Klaviyo reports in your account time zone. Clicks near midnight can fall into a different bucket. | Either direction, usually marginal. | | **Period boundaries.** Vortex IQ uses a 30-day rolling window vs prior; Klaviyo dashboards often default to calendar months. | Either direction. | | **Unique vs total clicks.** This card uses unique clicks. A Klaviyo view showing total clicks (counting repeat clicks by the same person) 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 rate runs marginally off for very large senders. | | **Campaign vs flow scope.** A campaign-only Klaviyo view will not match our blended campaign-plus-flow rate. | Either direction. | ## Known limitations / merchant FAQs **Why is this more reliable than open rate?** Because clicks are deliberate human actions. Apple Mail Privacy Protection auto-opens emails to pre-fetch images, which inflates open rate, but it does not click your links. So the click line reflects real interest with no machine contamination. When you need one engagement signal you can trust, this is it. **My open rate dropped but click rate is flat, should I worry?** Probably not. That divergence is the classic sign that the open dip was MPP noise or an inbox-placement fluctuation rather than a real engagement change. If humans were genuinely losing interest, clicks would fall too. A flat click line through open-rate turbulence is reassuring. **My click rate dropped but open rate is flat, what does that mean?** This is the more serious case. People are still opening but fewer are clicking, which points to a content problem: weaker offers, less relevant segments, or creative fatigue. Check [Click-to-Open Rate](/nerve-centre/kpi-cards/klaviyo/click-to-open-rate) to confirm the content failed the openers, then review your recent offers and segmentation. **What is a normal email click rate?** It varies widely by industry, list quality, and email type (a flash-sale campaign clicks differently than a content newsletter), so the absolute level matters less than your own trend. Watch for sustained movement against your established baseline rather than chasing a universal benchmark. **Unique clicks or total clicks?** This card uses unique clicks, so each recipient counts once per send regardless of how many links or how many times they clicked. A total-clicks view in Klaviyo will read higher. **Does this include SMS link clicks?** No, the card is email-only by default so SMS clicks do not dilute the email click rate. Track SMS engagement separately. *** ### Tracked live in Vortex IQ Nerve Centre *Click Rate Trend* is one of hundreds of KPI pulses Vortex IQ tracks across Klaviyo and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. [Start for free](https://app.vortexiq.ai/login) or [book a demo](https://www.vortexiq.ai/contact-us) to see this metric running on your own data.