GetIntent vs Dynamic Yield
Dynamic Yield (acquired by Mastercard) is a machine learning personalization platform built for enterprise e-commerce at $100,000+/year. GetIntent delivers the same AI-driven personalization for landing pages at 1% of the cost, with no enterprise contract or data science team required.
The Bottom Line
Quick Comparison
- $69-449/month — no enterprise contract
- Live in 60 seconds — one script tag, any page
- <50ms response time, zero flicker
- Intent-based personalization using search signals
- No data science team required to operate
- 25% average conversion lift
- $100,000+/year enterprise pricing
- Months-long implementation with dedicated team
- Primarily built for e-commerce product pages, not landing pages
- Deep ML-powered product recommendations
- Omnichannel personalization (web, email, app)
- Requires data science team to configure models
Feature-by-Feature Comparison
| Feature | GetIntent | Dynamic Yield |
|---|---|---|
| Annual Pricing | $828-5,388/yr | $100,000+/yr |
| Setup Time | <60 seconds | 3-6 months |
| Data Science Team Required | ||
| Landing Page Personalization | Partial (e-commerce focus) | |
| Response Time | <50ms (proven) | Not published for landing pages |
| Flicker-Free | Partial | |
| Intent Signals (UTM/Search) | ||
| Product Recommendations (e-comm) | ||
| Target Customer | SMB to Mid-market | Enterprise e-commerce ($100M+) |
Which One Should You Choose?
Choose GetIntent if:
- You want landing page personalization, not e-commerce product recommendations
- Your budget is under $10,000/year
- You don't have a data science team to configure ML models
- You run paid search or social campaigns and want intent matching
- You need results this month, not this year
Choose Dynamic Yield if:
- You're a large e-commerce retailer needing product-level ML recommendations
- You need omnichannel personalization across web, email, and mobile app
- You have a data science team and $100k+ annual budget
- You need deep behavioral tracking across a large product catalog
The bottom line: Dynamic Yield is built for enterprises with millions in e-commerce revenue. GetIntent is built for marketers who need to convert more visitors from their existing landing pages — without a six-figure platform fee.
GetIntent vs Dynamic Yield: Common Questions
Is GetIntent better than Dynamic Yield?
For landing page personalization, yes. GetIntent is purpose-built for personalizing landing pages using AI and search intent signals, at $69-449/month. Dynamic Yield is an enterprise ML platform for e-commerce product recommendations at $100,000+/year. If your goal is landing page conversion optimization, GetIntent is faster, cheaper, and requires no data science team.
How does GetIntent compare to Dynamic Yield on pricing?
GetIntent starts free (5 pages, 25 AI personalizations/month) with paid plans from $69-449/month. Dynamic Yield costs $100,000+/year with enterprise contracts. GetIntent is roughly 20-100x more affordable, though Dynamic Yield offers broader omnichannel capabilities for enterprise e-commerce.
Can I switch from Dynamic Yield to GetIntent?
If you're using Dynamic Yield primarily for landing page personalization, yes. Install GetIntent's 5KB script and start personalizing in under 60 seconds. However, if you rely on Dynamic Yield for product recommendations, email personalization, or app personalization, GetIntent is not a direct replacement for those capabilities.
Does GetIntent require a data science team like Dynamic Yield?
No. GetIntent is designed for marketers — zero code, no ML model configuration, no data science expertise needed. Dynamic Yield typically requires a data science team to configure recommendation algorithms and personalization models. GetIntent's AI works automatically based on visitor intent signals.
What's the setup time for GetIntent vs Dynamic Yield?
GetIntent goes live in under 60 seconds — paste one script tag on your page. Dynamic Yield typically takes 3-6 months to implement with a dedicated technical team. GetIntent is designed for speed; Dynamic Yield is designed for enterprise-scale complexity.