Report updated Apr 18, 2026
Blockr: SMS, Spam Text Blocker
For mobile users seeking to reduce spam and improve security for their SMS and call logs.
Overview · Full Intel report in progress
Blockr: SMS, Spam Text Blocker is an established utilities app that is completely free. With a 4.3/5 rating from 362 reviews, it shows polarized user reception.
What is Blockr: SMS, Spam Text Blocker?
Current Momentum
v1.47 · 7mo ago
MaintenanceLast updated 228d ago. 5 versions tracked.
Competition
Rivals identification in progress
7-Day Rank Pulse 🇺🇸
UtilitiesNo ranking data
Rating Pulse 🇺🇸
What makes this app unique?
What Does It Look Like?
What Are The Key Features?
Uses machine learning algorithms to identify and filter scam texts before they appear in the Messages app.
Automatically blocks known scam numbers and telemarketers in real-time.
How much does it cost?
Who Built It?
The App Shop
Simplifying personal finance and daily productivity through focused, utility-driven mobile tools. Helping users manage budgets and streamline communication without unnecessary complexity.
Portfolio
10
Apps
What other apps does The App Shop make?
Pennies: Budget & Bill Tracker
Voicerec: Voice Notes & Memos
Magpie - Photos & Notes
USA Recalls: Food, Drug Alerts
Recordkit - Call Recorder
Tabs - Shared Spending Tracker
Explore the full The App Shop report
Portfolio breakdown, audience, momentum, and every app published by The App Shop.
Analysis in progress, available soon
What do users think recently?
Analysis in progress, available soon
View the full user-sentiment analysis
Mood gauge, ratings & review-volume history, every praise / complaint / request, and sentiment over time.
Analysis in progress, available soon
What is the competitive landscape for Blockr: SMS, Spam Text Blocker?
How's The Utilities Market?
Market outlook for this category
Available very soon
Strategic analysis coming soon
SWOT, key takeaways & outlook
The outtake for Blockr: SMS, Spam Text Blocker
Key Takeaways
While the app claims to provide automated AI-based spam protection, recent user feedback indicates significant concerns regarding filter efficacy and a lack of responsive customer support.
Where Is It Heading?
Trend analysis
Available very soon