> ## 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. # SMS Clicks, Klaviyo > SMS Clicks for the selected period. The count of clicks on SMS short-links. Because SMS has no opens, clicks are the primary engagement signal for the channel. 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) > Clicks on the short-links inside your texts. With no open tracking on SMS, this is the cleanest engagement signal the channel offers, and the step that leads straight to conversion. ## At a glance > The total number of clicks on SMS short-links across the selected period, counting taps on the trackable links inside your campaign and flow messages. On email you have opens, clicks, and conversions as a three-step funnel; on SMS there are no opens, so the funnel is effectively just clicks then conversions. **That makes clicks the single most important engagement signal for the channel: it is the first measurable sign that a recipient read the message and acted on it.** A healthy click line means your texts are reaching the right consented contacts with an offer worth tapping; a falling click line, with sends steady, is the earliest warning that messages are landing flat or that the list is tiring. Read clicks against sends to get a sense of engagement quality, and against conversions to see whether that interest turned into orders. | | | | ----------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | **What it counts** | The sum of clicks on SMS short-links in the period, across SMS campaigns and SMS flows. | | **API endpoint + statistics field** | `POST /api/campaign-values-reports` and `POST /api/flow-values-reports` scoped to the SMS channel, returning `clicks` (and `clicks_unique` for distinct clickers) per message. | | **Email vs SMS aggregation** | SMS channel only. Email clicks are tracked separately under [Email Click Rate](/nerve-centre/kpi-cards/klaviyo/email-click-rate) and never blended here. | | **MPP impact** | None. Apple Mail Privacy Protection inflates email opens only; SMS has no opens, so clicks are not distorted by MPP. | | **Chart type** | KPI summary. | | **Time window** | `30D vsP` | | **Alert trigger** | A notable drop in SMS clicks against the recent baseline, especially with steady sends, which points to weaker messages, an offer mismatch, or a tiring consented list. | | **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 supplements brand running weekly SMS campaigns plus a browse-abandon SMS flow. Reading the dashboard on 14 Apr 26 for the trailing 30 days (14 Mar 26 to 12 Apr 26), the SMS clicks by week look like this (illustrative figures): | Week | SMS sends | SMS clicks | Implied click rate | SMS conversions | | --------------- | --------- | ---------- | ------------------ | --------------- | | 14-20 Mar 26 | 5,800 | 464 | 8.0% | 203 | | 21-27 Mar 26 | 5,900 | 472 | 8.0% | 207 | | 28 Mar-3 Apr 26 | 6,100 | 366 | 6.0% | 134 | | 4-12 Apr 26 | 6,000 | 480 | 8.0% | 210 | ```text theme={null} Week 3 click rate = 366 ÷ 6,100 = 6.0% Drop vs the 8.0% baseline = 2.0 percentage points, a 25% relative fall Conversions fell with clicks (207 to 134), confirming the dip was upstream ``` Five observations: 1. **Sends held roughly flat while clicks dipped in week 3.** Because volume barely moved, the week 3 fall is a genuine engagement signal, not a side-effect of sending less. That is the read this card is built for. 2. **With no opens, clicks are the first place a problem shows.** On email you might catch a soft week in the open rate first. On SMS there is no open layer, so a weak message reveals itself directly in clicks, which is why this card is the SMS engagement bellwether. 3. **Conversions fell with clicks, locating the problem upstream.** Week 3 conversions dropped alongside clicks, which says the issue was getting people to tap, not what happened after the tap. If clicks had held but conversions fell, the problem would have been downstream on the landing page or in checkout. 4. **The likely causes are message and offer.** A weaker headline, a less compelling deal, or a poorly chosen send time will all show up as fewer clicks. Week 4 recovered to the 8.0% baseline, suggesting the week 3 message simply underperformed rather than the list degrading. 5. **Watch clicks against sends, not in isolation.** A rising click count on a much larger send is not necessarily better engagement. The implied click rate, clicks over sends, is the quality read; the raw click count is the volume read. Pair this card with [SMS Sends](/nerve-centre/kpi-cards/klaviyo/sms-sends) to keep both in view. ## Sibling cards merchants should reference together SMS Clicks is the primary SMS engagement signal. Pair it with these: | Card | Why pair it with SMS Clicks | | -------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------- | | [SMS Overview](/nerve-centre/kpi-cards/klaviyo/sms-overview) | The cockpit view. Clicks is one line of the overview; start there for the whole-programme picture. | | [SMS Sends](/nerve-centre/kpi-cards/klaviyo/sms-sends) | The denominator. Clicks against sends gives the engagement quality read, not just the raw click count. | | [SMS Conversion](/nerve-centre/kpi-cards/klaviyo/sms-conversion) | The step after the click. Clicks holding while conversion falls points to a problem after the tap, not in the message. | | [Email Click Rate](/nerve-centre/kpi-cards/klaviyo/email-click-rate) | The email counterpart. Comparing SMS and email click behaviour shows which channel earns more attention per send. | | [SMS Opt-in Trend](/nerve-centre/kpi-cards/klaviyo/sms-opt-in-trend) | The list-quality context. Fresh opt-ins click more; a long stretch of flat opt-ins can quietly soften click rates. | ## Reconciling against Klaviyo **Where to look in Klaviyo:** * Klaviyo → Campaigns, filtered to SMS, then a campaign's analytics, where clicks and unique clicks are shown per SMS send. * Klaviyo → Flows, filtered to SMS, then a message's analytics, for triggered SMS click counts. * Klaviyo → Analytics → Performance, with the channel set to SMS, for the blended SMS click trend. **Why our number may legitimately differ:** | Reason | Direction of divergence | | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------- | | **Clicks vs unique clicks.** This card counts total clicks. If you compare against a unique-clicker view in Klaviyo, ours can read higher because one person can tap a link more than once. | Ours reads higher than a unique-clicker view. | | **Time zone.** Vortex IQ buckets by UTC day; Klaviyo uses your account time zone. A click near midnight can fall into a different period. | Either direction, usually marginal. | | **Campaign plus flow scope.** This card blends SMS campaigns and flows. A campaign-only Klaviyo view will read lower. | Ours reads higher than a campaign-only view. | | **Link tracking.** Only trackable short-links register clicks. A message with an untracked link will under-report clicks on both sides. | Both read low for untracked links. | | **Page caps.** Values reporting pages at 50 records per pull, so very high message counts can see slight aggregation truncation. | Ours can read marginally low for heavy senders. | ## Known limitations / merchant FAQs **Why don't I have an SMS open rate to compare against?** Because SMS has no open tracking. There is no reliable equivalent of the email open pixel for text messages, so Klaviyo does not report SMS opens. Clicks are therefore the first measurable engagement signal on the channel, which is why this card matters so much. **Are these total clicks or unique clicks?** This card counts total clicks, so a single recipient tapping the link twice counts twice. Klaviyo also reports unique clicks (`clicks_unique`), which counts distinct clickers. If you reconcile against a unique view, expect ours to read a little higher. **My clicks fell but I sent the same volume, what does that mean?** That is a genuine engagement dip. With sends steady, fewer clicks points to a weaker message, a less compelling offer, or a poorly timed send. If conversions fell alongside clicks, the problem was getting the tap; if clicks held but conversions fell, the problem is after the tap. **Do clicks include flow messages or just campaigns?** Both. The card blends SMS campaign and SMS flow clicks for the full engagement picture. A campaign-only Klaviyo view will read lower by the flow click volume. **Why are my SMS click rates higher than my email click rates?** That is common. SMS is a consent-based, high-intent channel with short, focused messages and a single link, so the people who receive your texts tend to engage more per send than a broad email audience. Higher per-send engagement is part of what justifies the per-message cost. **Does Apple Mail Privacy Protection affect SMS clicks?** No. MPP inflates email opens only. It does not touch SMS clicks, which is one reason the SMS engagement picture is cleaner than the email one. *** ### Tracked live in Vortex IQ Nerve Centre *SMS Clicks* 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.