SMS Benchmarks for Information

Information teams rely on clear and timely messages to keep everyone aligned and informed. SMS benchmarks help these teams understand typical performance trends across metrics like delivery rates, response patterns and engagement levels.

The following stats come from analyzing 78,303 engaged contacts.

Average Response Rate

The average response rate in information industries is 71.09%, reflecting how often people reply when they receive SMS notifications, alerts, or updates from organizations in this sector.

Response rate represents the proportion of recipients who send a reply, found by dividing the number of responses by the total successfully delivered texts.

In information settings like media, telecom, and data services, it shows how clearly and usefully messages convey account notices, service changes, or content updates. Maintaining a strong response rate helps teams refine communication so interactions feel relevant, timely, and easier to manage at scale.

Average Opt-Out Rate

The average opt-out rate for information services is 0.04 percent, which reflects an especially selective audience for such a detail oriented sector.

The opt-out rate shows the portion of subscribers who reply STOP or otherwise remove themselves from your SMS list, based on total exits divided by total successfully delivered texts.

In information focused messaging, this metric highlights whether news briefs, content summaries, and service alerts feel relevant or intrusive to readers.

Tracking opt-out rate over time helps identify topics, timing, and frequency that people quietly reject, so teams can refine their communication style while keeping subscriber trust.

Average Click-Through Rate

The average click-through rate in information is 14–22% and highlights how frequently audiences engage with links contained in SMS messages.

Click-through rate describes the proportion of delivered texts that result in at least one tap on a tracked link.

To calculate it, divide the total number of recorded link clicks by the total number of messages successfully delivered, then multiply that figure by 100.

In information, a strong click-through rate shows that subscribers consider the shared updates and resources valuable, guiding smarter choices about timing, content format, and link placement in future campaigns.

Average Conversion Rate

The average conversion rate for information is 15–25%, reflecting how often people respond to an sms by taking the next intended step.

This metric reveals how many recipients move from simply reading a message to doing something concrete such as clicking a link or replying.

To calculate conversion rate, divide the number of successful outcomes by the total sms messages delivered, then express the result as a percentage.

In information services, this percentage is important because it shows whether messaging is guiding people to the right details, clarifications, or updates at the right time.

Average Delivery Rate

The average delivery rate for information is 98–99%, showing that nearly every SMS update reaches the intended recipient without interruption.

This dependability gives information teams confidence that critical notices, reminders, and alerts are actually being viewed by their audiences.

Delivery rate describes the proportion of messages that successfully land on users devices compared with all outbound texts.

It is calculated by dividing delivered messages by the total sent, excluding texts rejected due to invalid contacts or carrier filtering.

In information, a strong delivery rate matters because communication often supports regulatory notices, service updates, security alerts, and time sensitive internal coordination.

Average Open Rate

The average open rate is 98%, which means people almost always read text messages in the information sector.

Open rate is the percentage of successfully delivered texts that recipients actually open.

It is worked out by taking the number of opened messages, dividing that figure by the number of delivered messages, then multiplying the result by 100.

This metric matters in information because updates like appointment reminders, status notifications, and service alerts must be seen quickly.

High open rates make sure important details reach people at the right time and reduce confusion.

Average Time to Read

The average time to read in information is 3 minutes.

Time to read describes how long it takes someone to open and view content after it has been delivered.

It is calculated by tracking the time gap between delivery and the first open across many messages or documents, then taking the average. In information settings this metric matters because it shows how quickly audiences are actually engaging with critical updates.

It helps teams make sure their messages are timed appropriately for attention patterns.

It also highlights delays that could affect awareness, coordination, and decision making.

Average Response Time

The average response time for information is 90 seconds, showing how quickly people in this sector usually answer once they receive a text message.

Response time is the period between message delivery and the first reply, found by averaging this interval across every text conversation.

It matters in information because quicker replies support smoother knowledge sharing, faster updates, and timely clarification of complex topics.

A shorter response time suggests that recipients are actively engaged with SMS, which helps teams coordinate communication more effectively and make sure questions or issues are addressed promptly.

Average Bounce Rate

The average bounce rate is 1–2% in information, which means just a tiny fraction of SMS notifications never reach their destination.

This small share suggests clean subscriber records and reliable message delivery across data focused services.

bounce rate is calculated by taking the number of texts that fail to deliver, dividing it by the total volume sent, then converting the result into a percentage.

In information, this metric matters because dependable delivery supports secure logins, account alerts, and timely updates based on sensitive records.

A consistently low bounce rate also helps keep databases accurate, so communication stays relevant and compliant.

Average Messages per Conversation

The average message per conversation is 8.7.

This signals high engagement.

Average message per conversation captures how many messages typically appear in one ongoing thread.

It is calculated by taking the total number of messages exchanged and dividing that by the total number of separate conversations.

For businesses in information, a higher figure often means customers and teams are actively discussing details, asking follow up questions, and clarifying next steps.

Tracking this metric helps managers understand conversation depth, spot friction points, and make sure responses stay timely and relevant.

Overview of Information

The information sector relies on accurate, timely communication to distribute data, coordinate teams, and support complex decision making.

Stakeholders expect rapid access to relevant updates and minimal friction in how messages are delivered and received.

Traditional channels can be slow or cluttered, making it difficult to cut through noise when time sensitive insights are needed.

SMS offers near universal reach, very high open rates, and immediate visibility, which helps critical information get noticed quickly.

It supports concise, direct interactions that keep operations aligned and responsive.

By using SMS as a core channel, information businesses maintain agility, improve user experience, and make sure essential communication stays reliable and efficient.

SMS Use Cases in Information

SMS is a high-impact channel for information teams because it delivers time-sensitive data directly to stakeholders and supports quick confirmations and escalations.

Short messages reduce lag between an update and user action, making sure critical insights and alerts are acted on promptly.

Automated release alerts notify clients when datasets, reports, or indexes are published, including short links and version tags to make sure they pull the right file.

Incident and SLA breach notices text ops teams and customers with concise steps and escalation contacts so teams can triage outages and make sure SLAs are met.

Onboarding and renewal reminders send account links and support numbers to speed approvals and make sure access or billing never lapses.

FAQs About SMS Benchmarks for Information

How can businesses keep customer information accurate when using SMS?

Companies can request customers to confirm their details through simple SMS prompts during sign-up or booking flows. They can also send occasional verification messages so people can easily correct outdated information.

What role does SMS play in sharing important information quickly?

SMS allows organizations to distribute time-sensitive information directly to a person’s phone, reducing the chance of messages being missed. It is especially useful for urgent alerts, schedule changes, or access instructions that need immediate attention.

How can SMS support secure handling of personal information?

Businesses can limit the type of personal information shared in each text and avoid including sensitive data. They can also use SMS mainly as a trigger or notification, directing users to secure portals when detailed information is required.

How does SMS help customers access information without using apps or websites?

SMS gives customers direct access to key information like confirmations, instructions, or links without needing to log into portals. This makes it easier for people who prefer simple text communication or have limited access to mobile data.