14 Promotional Message Examples to Capture Customers
Keeping in touch with customers is essential for any business looking to succeed. One of...
API rate limits are rules that control how many API requests can be made within a specific time period, such as per second or per minute.
In SMS communication, API rate limits decide how fast your system can send or receive messages through an SMS provider’s API.
They typically track the number of requests coming from an account, phone number, or IP address and compare it against a pre-set threshold.
These limits depend on factors like your provider’s capacity, your pricing plan, traffic patterns, and any protections against abuse or spam.
When you hit an API rate limit, additional requests might be delayed, rejected, or queued until the time window resets.
This directly affects delivery speed, message timing, and reliability, which shapes how smooth and consistent the end user’s SMS experience feels.
of texts are read immediately
of consumers want to text businesses
of consumers said they have tried to text a business
Managing API rate limits effectively starts with pacing real campaigns to match typical customer behavior.
Instead of firing every SMS at the exact same second, spread sends across short windows so delivery feels steady rather than chaotic.
For time-critical flows like password codes or pickup alerts, make sure your system reserves a portion of its available API capacity for these high-priority messages.
This helps prevent low-value traffic from blocking important notifications during busy bursts.
Clear, reliable use of rate limits also depends on accurate volume estimates and realistic growth assumptions.
Teams should regularly compare sent volumes, error responses, and delivery times so routing logic and retry rules stay aligned with actual capacity.
Message quality remains crucial, because poorly targeted SMS content can waste precious throughput that would be better used for customers who are more likely to respond.
A common pitfall is ignoring soft warning signals such as rising latency or minor throttling errors, which often appear before serious disruptions.
Another mistake is changing rate settings without updating schedules, which can cause irregular send patterns and confuse both customers and internal reporting.



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