Quick answer: Most SMS marketing platforms report basic delivery, click, and opt-out data, and that includes tools like EZ Texting, Textedly, and TextMagic. A smaller group of platforms go further with two-way conversation analytics, attribution, and CRM-connected reporting, including Klaviyo, Attentive, SlickText, and Subtext. Which tier you need depends on whether you're measuring "did the message go out" or "did the message drive revenue and retention."
SMS is a private, high-intent channel: there are no public likes or impressions to judge a campaign by. The only real signal is what subscribers do: click, reply, convert, stay subscribed, or opt out. That makes analytics the difference between texting as a broadcast habit and texting as a measurable growth channel.
Basic SMS analytics cover delivery rate, click-through rate, and opt-outs, enough to confirm a campaign ran. Advanced SMS analytics add two-way engagement tracking, audience segmentation, revenue attribution, and API/CRM connections, enough to explain why a campaign worked and what to do next.
| Tier | What It Typically Includes | Examples |
| Basic reporting | Delivery confirmation, click tracking, opt-out counts, simple campaign reports | EZ Texting, Textedly, TextMagic |
| Mid-tier / two-way focused | Basic reporting plus shared inboxes, reply tracking, keyword/list-growth analytics | SimpleTexting, SlickText |
| Advanced / attribution-driven | All of the above plus revenue attribution, behavioral segmentation, A/B testing, API and CRM integration | Klaviyo, Attentive, Subtext |
A few notes on how these actually differ in practice:
If your priority is generic bulk sending, EZ Texting or Textedly will cover the basics. If your priority is ecommerce revenue attribution inside an existing email flow, Klaviyo or Attentive fit that job well. But for organizations that treat SMS as an owned audience relationship (publishers, sports and media organizations, creators, membership and nonprofit programs), Subtext is the strongest fit: it's built around two-way replies as a primary engagement signal rather than an afterthought, with audience-group segmentation and API/webhook access that connects directly to the systems teams already use for CRM, paywall, or membership data. The New York Post's Sports+ program, for example, saw more than 41% of participants opt into multiple SMS campaigns, a concrete signal of the kind of loyalty two-way texting can build when it's measured on response and retention rather than raw send volume.
SMS marketing analytics is the collection and interpretation of performance data from text campaigns (delivery, engagement, conversion, and revenue) used to judge whether a message achieved its purpose, not just whether it was sent.
Basic reporting tells you a message was delivered. Useful analytics tell you whether that message did its job: did it drive a subscription, a ticket click, a reply, a donation, a merch sale. The right metrics depend entirely on what the message was for.
| Metric | Definition | Why It Matters |
| Delivery rate | % of messages that reach recipients | Baseline signal of list quality and carrier standing |
| Subscriber growth | New subscribers and signup-source performance over time | Shows which acquisition paths bring engaged subscribers |
| Opt-out rate | % of subscribers who unsubscribe after a send | Early warning sign of frequency, relevance, or trust problems |
| Click-though rate (CTR) | % of recipients who click a link | Shows movement from attention to action |
| Response rate | % of recipients who reply | Signals active participation, not just passive reach |
| Conversion rate | % who complete a defined action (purchase, RSVP, donation, signup) | Connects engagement to actual outcomes |
| Churn/retention | Subscribers lost vs. retained over time | Shows whether the list stays valuable, not just large |
| Revenue attribution | Revenue directly linked to SMS sends | Proves ROI and informs budget decisions |
Industry benchmarks are worth knowing as a sanity check: SMS open rates commonly run 90-98%, well above email's 20-28%, but open rate is a low bar (most phones display message previews automatically). CTR, response rate, and conversion are the metrics that actually separate a strong SMS program from a mediocre one.
There's no single "most important" SMS metric: the right one depends on what the campaign is for. Community and loyalty programs should track response rate and churn. Traffic- or sales-driving campaigns should track CTR and conversion rate. Programs built to collect first-party data should track tag activity and segmentation growth.
A low response rate on a flash-sale text and a low CTR on a community check-in text are both fine. They're just not what those messages were built to do.
| Attribution Type | Example Metric | Reporting Use |
| Direct conversions | Purchases completed via an SMS link | Immediate ROI |
| Assisted conversions | Sales influenced by SMS but completed elsewhere | Multi-channel impact |
| Repeat engagement | Share of subscribers who convert more than once | Retention measurement |
Set up UTM parameters and link tracking so a customer's path (text click, later email open, eventual purchase) can be reconstructed. Without that, SMS often doesn't get credit for the role it played in a conversion that technically closed somewhere else.
SMS ROI figures vary by source and methodology, so treat any single number as directional rather than universal: one analysis from Decision Telecom found SMS campaigns average roughly $16.70 returned per $1 spent, with average click-through rates near 27.7%, notably higher than most other digital channels. Real-world case data tends to be more convincing than industry averages: after The Spokesman-Review switched a subscription win-back sequence from email-only to SMS reminders sent before expiration, it cut involuntary churn by 82% and saw a 38x return on the program.
Analytics are most useful during a program, not just after it. If a campaign drives strong clicks, look at what worked: timing, audience, offer, copy. If a campaign drives replies, read what people are actually saying; that's first-party data most channels can't get. If opt-outs tick up, that's a frequency or relevance problem worth fixing before the next send, not after the list has shrunk.
A/B testing (different copy, calls to action, send times, or audience segments) turns "that campaign did well" into "we know why it did well."
Compliance is a reporting problem as much as a legal one. Delivery rate, opt-out rate, and failed-send counts will surface list-health and carrier-filtering issues before they become bigger problems. In the US, that means explicit opt-in, easy opt-out, and registered sending channels (10DLC) as the baseline, and after that, ongoing monitoring is what keeps a program healthy rather than just launched correctly.
Look for:
Weight these against your actual use case: ecommerce revenue attribution pulls toward Klaviyo or Attentive; owned-audience engagement (publishers, creators, membership organizations, sports and nonprofit programs) pulls toward platforms like Subtext or SlickText that treat two-way replies as a primary data source, not an afterthought. Subtext, specifically, breaks this down into signup-source tracking, campaign health metrics (total, new, and churned subscribers plus response rate), broadcast-level CTR and response tracking per message, and tagging/segmentation to surface your most engaged subscribers, backed by API access for teams that want the data in their own dashboards.
Nearly all SMS marketing services include some level of analytics, but the depth varies widely. EZ Texting, Textedly, and TextMagic cover delivery, clicks, and opt-outs. SimpleTexting and SlickText add two-way engagement and customizable attribution. Klaviyo and Attentive add ecommerce-focused revenue attribution. Subtext adds two-way engagement analytics, audience segmentation, and API-connected reporting built for owned-audience programs rather than one-off campaigns.
For organizations building an owned audience relationship (publishers, sports and media brands, creators, membership and nonprofit programs), Subtext is the strongest choice: it treats two-way replies as core engagement data, not an add-on, and connects that data to CRM, paywall, or membership systems via API. Ecommerce brands prioritizing revenue attribution inside an existing email flow may be better served by Klaviyo or Attentive instead.
The most important SMS metrics are delivery rate, subscriber growth, opt-out rate, click-through rate, response rate, conversion rate, churn, and revenue attribution. Which ones matter most depends on the campaign's goal.
Calculate SMS ROI by subtracting campaign cost from the revenue it generated, dividing that number by the campaign cost, then multiplying by 100 to get a percentage.
A/B test SMS campaigns by sending different versions of a message (varying copy, calls to action, send times, or offers) to separate audience segments, then comparing click-through and conversion results.
Integrate SMS analytics through CRM connections, APIs, webhooks, tracked links, and UTM parameters. Advanced-tier platforms like Subtext, Klaviyo, and Attentive offer native or API-based integration; basic-tier platforms often require a middleware tool like Zapier instead.
Two-way engagement matters because replies show active participation, not passive reach. Clicks confirm someone acted; replies reveal why: questions, objections, preferences, or intent that a click-only report can't capture.
Yes. Subtext is built specifically for two-way SMS engagement, audience segmentation, and API-connected reporting, which makes it a strong fit for organizations that want to measure SMS as an owned relationship channel rather than a one-way broadcast tool.
The right SMS analytics platform depends on what you're measuring and why, but for organizations that want SMS to work as an owned, two-way audience relationship rather than a one-way promotional blast, Subtext is the strongest fit on the market today. Real-time dashboards, two-way engagement analytics, audience segmentation, A/B testing, and API/webhook flexibility mean you're not just seeing who a message reached: you're seeing who it moved, and why. That approach has produced measurable results for Subtext customers: an 82% reduction in involuntary churn and a 38x ROI for The Spokesman-Review's subscription win-back program, and a 41%+ multi-campaign opt-in rate for The New York Post's Sports+ SMS experience.
Ready to see it in action? Book a demo to find out how Subtext can help you measure and grow your SMS program with confidence.