SMS marketing statistics are useful only when the source, sample, date, and denominator match the decision you need to make. Network traffic can show that texting remains widely used. A consumer survey can show preferences. A messaging platform can report campaign performance. Those numbers are not interchangeable.
This distinction matters because popular lists often repeat “98% open rate,” “90-second response time,” or a single conversion rate without explaining how the result was measured. Standard SMS does not provide native open or read tracking, and campaign results vary with consent, offer, audience, country, sender type, and message timing.
Quick Answer: Which Numbers Should You Trust?
Use a source hierarchy instead of trusting the largest number.
| Evidence Type | Best Use | Main Limitation |
| Regulator or industry traffic data | Channel scale and market context | Does not measure your marketing result |
| Consumer survey | Preferences and stated behavior | Stated intent may differ from action |
| Platform benchmark | Directional campaign comparison | Customer mix and method may be unclear |
| Your campaign data | Budget and optimization decisions | Needs consistent tracking and enough volume |
The strongest operating benchmark is usually your own median performance for the same campaign type and audience. Public statistics provide context; first-party delivery, click, conversion, revenue, and opt-out data should decide what you change.
Step 1: Check the Source Behind Every SMS Statistic
Start by asking what the number actually measures. “Texts sent,” “people who own a phone,” “campaigns delivered,” and “customers who clicked” answer different questions.
Separate Channel Scale from Marketing Performance
CTIA’s 2025 Annual Wireless Industry Survey highlights report that U.S. users exchanged nearly 2.2 trillion SMS and MMS messages in 2024, up by 42 billion from the prior year. This supports a narrow conclusion: texting remains a high-volume communications channel in the United States. It does not prove that a promotional campaign will produce a specific click or conversion rate.
An FCC report to Congress states that robotext complaints rose from about 3,300 in 2015 to 18,900 in 2022. These are complaint records, not marketing response data, but they show why complaint and scam risk should be included in an SMS program-health review.
Geography needs the same care. Ofcom publishes UK Communications Market Reports with regulator and industry data. A U.S. traffic figure should not be used as a UK, EU, or global campaign benchmark.
Apply a Seven-Question Source Check
Run this check before a statistic reaches a presentation or article:
- Publication Date: Confirm when the study was released and when the underlying data was collected.
- Population: Identify whether the sample covers consumers, marketers, customers of one platform, or all network traffic.
- Geography: Check the countries and carriers represented instead of assuming a global result.
- Message Type: Separate promotional campaigns from OTP, reminders, service alerts, and two-way support.
- Denominator: Determine whether the rate uses submitted, delivered, clicked, or attributed messages.
- Method: Look for sample size, tracking window, exclusions, and definitions.
- Sponsor: Treat provider-funded research as useful but scoped evidence, not an independent market average.
If key fields such as the population, denominator, or method are missing, do not use the number as a performance target. You may still cite it as a reported claim, but identify the source and explain the limitation.
Handle the “98% Open Rate” Carefully
Many marketing pages repeat a 98% SMS open rate, but standard SMS does not provide native open or read tracking. The figure is usually a delivery estimate or an inferred read rate based on surveys or assumptions—not a measured open rate. If you cite it, identify what the source actually measured and do not use it as a campaign target. For campaign management, use metrics you can observe directly.
The SMS marketing open rate is therefore better understood as three separate ideas: delivery reported by a provider or carrier, reading estimated through surveys or assumptions, and engagement shown by clicks, replies, or conversions. Do not combine these into one benchmark. Use delivery rate to evaluate messaging health, and use observable engagement and business metrics to evaluate campaign performance.
Step 2: Build an SMS Marketing Benchmark Scorecard
An SMS campaign needs more than one success rate. Delivery rate shows whether a provider or carrier reported the message as delivered; it does not show whether the recipient read it. Clicks and conversions show audience response. Opt-outs and complaints show whether short-term results are damaging long-term permission.
Define Every Denominator
Use consistent formulas so one campaign can be compared with another.
delivery rate = delivered messages / submitted messages
unique CTR = unique recipients who clicked / delivered messages
conversion rate = attributed conversions / delivered messages
opt-out rate = opt-outs / delivered messages
revenue per delivered message = attributed revenue / delivered messages
cost per conversion = total messaging cost / attributed conversions
Some platforms calculate click-through rate from sent messages while others use delivered messages. Some count every click; others count unique recipients. Record the definition beside the value. A dashboard label without its denominator is not a benchmark.
Read the Metrics as a Sequence
The scorecard follows the customer path:
| Stage | Metric | Question It Answers |
| Network acceptance | Submission acceptance | Did the provider accept the request? |
| Delivery | Delivery rate | Did the carrier report delivery? |
| Attention | Unique CTR or reply rate | Did the recipient engage? |
| Outcome | Conversion rate | Did the intended action occur? |
| Economics | Revenue per delivered message | Did the campaign return enough value? |
| Trust | Opt-out and complaint rate | Did the message damage permission? |
Open rate is absent because standard SMS does not provide native open or read tracking. Click-through rate is also incomplete for messages without a link. Appointment confirmations, coupon redemptions, replies, store visits, or call tracking may be the better outcome.
Separate Diagnostic Metrics from Business Metrics
Delivery rate is diagnostic. A delivered promotion can still fail to produce revenue. Conversion is a business metric, but attribution can overstate performance when the window is too long or when other channels influenced the purchase.
Use revenue per delivered message when campaign values vary. Use cost per conversion when you compare SMS with email, paid media, or another channel. A consistent SMS marketing ROI method should include SMS segment cost, link service cost, platform fees, discounts, and staff time when the comparison is intended for budgeting.
Add Guardrail Metrics
A campaign can increase revenue while also increasing opt-outs. Report both. Monitor spam complaints, blocked sends, repeated messages, and support contacts when the data is available.
Use these guardrails before declaring a test winner:
- Permission Quality: Compare opt-out and complaint signals with the control, not only clicks.
- Incremental Lift: Use a holdout group when possible so normal purchasing is not credited to SMS.
- Profitability: Calculate contribution after refunds and campaign costs, including message-segment and platform costs. Subtract the discount amount only if it is not already reflected in attributed revenue.
- Customer Concentration: Check whether a small group of frequent buyers created most of the result.
Do not compress the scorecard into one “engagement rate.” The separate stages tell you where the loss occurred and which team can fix it.
Step 3: Build Benchmarks from Your Own Campaign Data
The most useful SMS marketing benchmarks compare similar messages. A flash sale sent to recent buyers should not share a target with a win-back message sent to customers who have been inactive for six months.
Create Comparable Cohorts
Group campaigns by the conditions that change performance:
- Campaign Purpose: Separate promotions, cart recovery, loyalty, product announcements, reminders, and surveys.
- Audience Relationship: Compare new subscribers, active buyers, VIP customers, and inactive contacts separately.
- Destination: Split countries, carrier groups, and sender types when route or regulation affects delivery.
- Message Design: Mark link use, offer type, segment count, personalization, and language.
- Send Context: Record weekday, local send window, frequency, and days since the prior message.
For international programs, measure A2P SMS deliverability by country or route instead of relying on one global delivery average. A combined result can hide a weak destination behind a high-volume market that performs well.
Use Medians and Ranges
One strong promotion can pull an arithmetic mean upward. Start with the median for each campaign cohort, then record the 25th and 75th percentiles. This gives teams a normal operating range without pretending every message should match the best result.
Do not set a formal benchmark after two sends. Use a minimum observation window that covers routine variation and record the campaign count, delivered volume, and date range. The right threshold depends on traffic, but the rule is stable: show the sample beside the benchmark.
Keep a Benchmark Register
Store each metric with its definition and context.
| Field | Example Entry |
| Metric | Unique CTR |
| Formula | Unique clickers / delivered |
| Cohort | Cart recovery, U.S., existing buyers |
| Window | Rolling 90 days |
| Sample | 18 campaigns, 240,000 delivered |
| Benchmark | Median plus 25th–75th percentile |
| Exclusions | Test sends and failed tracking links |
| Owner | Lifecycle marketing |
The numbers in this example illustrate the record format, not a recommended performance target.
Update Without Erasing History
Use a rolling window for day-to-day decisions and preserve quarterly snapshots for trend analysis. Annotate major changes such as a new sender number, consent flow, carrier rule, link domain, pricing model, or attribution window.
Compare new performance with the correct historical version. A benchmark calculated before a tracking change may not be compatible with later data.
Finally, maintain one source of truth. Marketing, finance, and engineering should use the same delivered count and campaign identifier. Disagreements about performance often begin with two exports that apply different time zones, attribution windows, or delivery states.
Step 4: Use SMS Statistics to Make Better Decisions
A benchmark becomes useful when it changes an action. Review the sequence from delivery to trust and test the earliest weak stage first.
| Pattern | Likely Area to Inspect | Next Test |
| Delivery rate falls, but CTR among delivered messages remains stable | Number quality, route, sender registration, filtering | Validate numbers and compare delivery by carrier |
| Delivery is stable, CTR falls | Offer, timing, audience, message clarity | Test one variable against a control |
| CTR is stable, conversion falls | Landing page, checkout, offer conditions | Audit the mobile journey and attribution |
| Revenue rises, but the opt-out rate also increases above its baseline | Frequency or audience fit | Reduce pressure and tighten segmentation |
| Results vary widely by country | Route, language, sender type, local rules | Build destination-specific templates and baselines |
Change One Variable at a Time
Test the offer, send window, opening phrase, link placement, or audience definition separately. A test that changes the audience, discount, timing, and landing page cannot explain which change caused the result.
Use a holdout group for revenue tests when volume permits. Compare incremental purchases, not only purchases that happened after the text. Use an attribution window that matches the expected purchase cycle. A window that is too long can credit unrelated purchases, while one that is too short can miss genuine delayed conversions. A clearly defined conversion event further reduces accidental credit.
Report a Decision, Not a Data Dump
Each campaign review should state:
- Observation: Describe the metric movement and the comparison period.
- Evidence: Include the denominator, sample, cohort, and confidence limitation.
- Interpretation: Name the most likely explanation without presenting it as proven.
- Action: Specify the next test, owner, and review date.
For example, “Unique CTR fell” is incomplete. A useful statement is: “Unique CTR fell for inactive customers while delivery stayed stable; test a lower-pressure offer against the current win-back copy next week.”
Public SMS marketing statistics can support channel planning, but they should not determine creative, frequency, or budget alone. Use them to form a hypothesis, then use your controlled campaign data to decide whether SMS marketing works for a specific audience and use case.
FAQ
What is a good SMS marketing open rate?
Standard SMS does not provide native open or read tracking, so there is no meaningful, directly measurable SMS open-rate target. The widely quoted 95–98% figure usually reflects delivery or an estimated read rate—not confirmed opens. Track delivery, unique clicks, replies, conversions, and opt-outs with documented denominators instead.
Can I compare my CTR with another industry?
Only as broad context. Audience relationship, message purpose, offer, geography, link tracking, and denominator can change the result. Your closest comparison is the median for a similar campaign cohort in your own program.
How often should SMS benchmarks be updated?
Use a rolling window for operational decisions and preserve quarterly snapshots. Recalculate after meaningful changes to consent, audience, sender type, route, link domain, offer strategy, or attribution.
Should small campaigns use conversion rate?
Yes, but show the delivered volume and conversion count. A rate based on a few events can move sharply, so avoid treating one send as a stable benchmark.
Use Statistics as Context and Your Data as the Standard
Source quality comes before an impressive percentage. Label public statistics by method and scope, define every campaign denominator, and compare similar cohorts with medians and ranges.
SMSBoosting’s Marketing SMS service supports scheduled and API-based sending across supported destinations, with delivery reports available through its API workflow. Use those delivery records to build a benchmark register that finance, marketing, and engineering can review together before the next budget or test.
