Pricing
contact sales
Best For
E-commerce brands generating significant revenue through SMS marketing
Rating
8.2/10
Last Updated
Mar 2026
TL;DR
Attentive dominates SMS marketing for e-commerce. Over 8,000 brands use it to send text messages that actually drive revenue — their customers report 25x+ ROI on average. The platform added email recently, making it a two-channel powerhouse. Pricing isn't public but expect $300-3,000+/month based on subscriber count. If SMS is a serious revenue channel for your store, Attentive is the leader.
What is Attentive?
The SMS Marketing Leader for E-Commerce
Attentive has raised $863M in funding, which tells you how big the bet on SMS marketing is. Over 8,000 brands including Coach, Urban Outfitters, and CB2 rely on it. The platform started as SMS-only but added email in 2022, positioning itself as a full text + email solution for DTC and retail brands.
List Growth and Compliance
Getting subscribers is half the battle with SMS. Attentive's two-tap sign-up technology converts mobile visitors at rates 2-3x higher than standard pop-ups. They handle TCPA compliance automatically — every opt-in, opt-out, and quiet hours rule is managed for you. That compliance layer alone saves legal headaches that would cost thousands to manage manually.
AI-Powered Messaging
The AI copywriting tool generates message variants based on your brand voice and past performance data. Attentive AI can write, schedule, and optimize sends without manual intervention. Segmentation uses purchase history, browsing behavior, and predictive analytics to target the right customers. Some brands report the AI-generated messages outperform human-written ones by 15-20%.
The Other Side of the Coin
SMS costs add up quickly. You're paying for the platform plus per-message fees, which can surprise brands used to flat-rate email pricing. The email product, while improving fast, still lacks the depth of dedicated email platforms like Klaviyo. Reporting could show more granular attribution data. And the sales process is enterprise-style — expect multiple calls before you get pricing.
Pros and Cons
Pros
- Industry-leading SMS subscriber growth with two-tap sign-up technology
- TCPA and CTIA compliance handled automatically, reducing legal risk
- AI copywriting generates high-performing message variants from your brand data
- Over 8,000 brand customers with documented 25x+ average ROI
- Strong Shopify, BigCommerce, and Salesforce Commerce Cloud integrations
- Email channel addition creates a genuine two-channel marketing platform
Cons
- Per-message SMS fees on top of platform cost can surprise budget planners
- Email features still maturing compared to established email-first platforms
- Pricing requires multiple sales calls with no published rates
- Attribution reporting could be more granular for multi-touch campaigns
- Best suited for US market, international SMS capabilities are limited
Attentive Pricing
Essentials
- SMS marketing
- Two-tap sign-up forms
- Basic segmentation
- Pre-built automations
- TCPA compliance
- Standard support
Professional
- SMS + email marketing
- AI copywriting
- Advanced segmentation
- Custom automations
- A/B testing
- Priority support
- Dedicated CSM
Enterprise
- Everything in Professional
- Custom integrations
- Advanced analytics
- Multi-brand support
- SLA guarantees
- Strategic account management
Pricing last verified: March 22, 2026
Who is Attentive Best For?
- E-commerce brands generating significant revenue through SMS marketing
- DTC brands wanting the highest SMS subscriber growth rates possible
- Shopify stores ready to add SMS as a primary revenue channel
- Retail brands needing TCPA-compliant SMS with minimal legal overhead
Technical Details
The Bottom Line
Attentive scores 8.2/10. It stands out for industry-leading sms subscriber growth with two-tap sign-up technology. Best suited for e-commerce brands generating significant revenue through sms marketing. Keep in mind that per-message sms fees on top of platform cost can surprise budget planners.
Frequently Asked Questions
Based on editorial analysis
