Analytics

• Campaign selector — defaults to All Campaigns (brand-wide totals) or to the campaign you most recently opened. Pick a single campaign from the dropdown to scope the page to just that campaign.
• Date range — defaults to the last 7 days. The range applies to every metric on the page.
• Count mode toggle — “Events” counts every event (so a recipient who taps three different chips contributes three to the chip-tap count). “Unique” counts unique recipients per event type (the same recipient contributes one no matter how many chips they tap). Flip between them to tell whether engagement is broad or concentrated in a few highly active recipients.

The Engagement card breaks the active signals out side by side: Clicks (taps on links and buttons), Chip taps (taps on a quick-reply suggestion), and Replies (free-form text, file, or location messages). Switching the page to count unique recipients deduplicates across these — a recipient who both clicked and replied counts once toward engagement.

The funnel shows how recipients move through the stages — Targeted → Sent → Delivered → Opened → Engaged — with the conversion from the previous stage shown beside each band. Targeted is the recipients on your list before the pre-send filter removed opt-outs, invalid numbers, and frequency-capped contacts, so the gap down to Sent is how many were filtered out before delivery. Engaged is any recipient who took an action: a click, a chip tap, or a reply. The funnel follows the Count toggle — in Events mode each stage counts events; in Unique mode it counts distinct recipients, which is the clearer view for reading true drop-off.

Two timing metrics measure how quickly recipients act after a message reaches them:

• Time to open — from delivered to the first open.
• Time to engage — from delivered to the first action (click, chip tap, or reply).

The headline figure is the median — the typical recipient, resistant to a few very-late stragglers. The detail line adds the average, fastest (min), slowest (max), and 95th percentile. The distribution chart buckets time-to-open so you can see whether opens cluster in the first minutes or trail off over hours; its columns tighten automatically to fit the data, so a campaign whose opens all land within a few minutes shows minute-scale columns instead of one tall bar. Opens inferred from a reply (when the device never sent an explicit open) are included.

The Cost card shows actual spend to date for the current selection: outbound sends plus the inbound replies they generated. Replies — suggestion-reply taps and free-text, file, or location messages — are billed at the same rate the campaign paid to send, since each inbound message carries a cost. Link and button clicks aren't billed: tapping a URL doesn't send a message back. The breakdown splits the total into outbound sends and replies. Per-message rates can be configured below a cent, but this total is shown to the nearest cent, rounded up. If pricing hasn't been configured for your brand, the card shows a dash.

• Opt-outs — recipients who replied STOP within the window. The percentage is optOuts / delivered. Color-coded muted under 0.5%, amber 0.5%–2%, red 2%+.
• Engagement — clicks, chip taps, and replies at a glance (see Engagement metrics above). The Reply options table breaks chip taps down by which button was tapped.
• RCS / SMS split — proportion of the audience that received the RCS message vs. the SMS fallback. A high SMS share usually means your audience contains a lot of non-RCS handsets.

The Trends section has two charts, both covering your selected date range and bucketed in your local time zone (the one set on your profile) rather than UTC:

• Delivery volume — sent versus delivered, as bars.
• Engagement over time — opens and interactions as smooth lines. Opt-outs are plotted against a separate scale on the right edge of the chart; they're far smaller in number than opens, so giving them their own axis keeps them readable instead of flattened along the bottom.

When the data covers a short window (up to about two days) the charts bucket by hour, so you can see the shape of a single send; over longer ranges they bucket by day. Use them to spot bursts (a recurring campaign) or compare runs across the window.

The Export CSV button (top right) downloads the raw events behind the page, scoped to the selected campaign and date range. The file is event-grain: one row per event, not one row per recipient or per metric tile. The same recipient typically appears multiple times — once for sent, once for delivered, and once more for any reply or chip tap.