SMS bounce rate spikes in one state, indicating poor data quality

[Shishirgano9]

e company launche a campaign offering a 20% discount on all products via SMS. After the campaign. They analyze the results.
Findings
60% of their contacts are mobile numbers in urban areas concentrate in three states.
The response rate is highest from customers with Carrier A vs. Carrier B.
Weekday evening messages have better engagement than weekends.
Actions Taken
Using these insights. The company decide to:
Send more region-targete offers for top states: This increase foot traffi phone number listc and online sales.
Optimize message timing to weekday evenings: This le to higher engagement rates.
Remove or verify numbers causing bounces: This improve overall list quality.
Negotiate messaging rates with Carrier A for better returns: This reuce costs and improve ROI.
Additional Example: Non-Profit Organization
Consider a non-profit organization that uses phone outreach to connect with donors. After analyzing their phone number list. They discovere:
A significant number of their contacts were landline numbers, which had lower engagement rates.
Younger demographics were more likely to respond to text messages.