LiftIgniter Real-time Personalization Platform vs. Stratifyd

LiftIgniter is well suited for:

• Media companies without the resources to develop their own content recommendations systems.
• eCommerce companies who want to get product recommendations live onsite quickly.

LiftIgniter is less appropriate:

• Organizations with a shallow content set onsite.

Organizing the data sets is easy and logical. Slicing and dicing of data functionality can be easily performed and is intuitive. Possibility to perform multiple analysis with a single dataset. Data can be easily adjusted even for a non-technical person. Easy navigation. Adjusting of datasets is very intuitive and quickly.

Incentivized

• It does a good job recommending content that is related to the current story a user is on.
• It does a good job not recommending content the user has already viewed.
• It does a good job being a recommendation engine for disparate sites with related content.

• Topic generation
• Customizing process flows
• Slice & dice data

Incentivized

• Manually controlling certain undesired results is not straight forward and seems to often result in a lower CTR or conversion rates.
• The LI Dashboard has limited features.

• User interface
• Text analytics
• Segmentation setup

Incentivized

It's the best. Our only other option was rolling out our own and LiftIgniter was easier to implement and performed better for related content.

• Increased time on site
• Decreased bounce rate
• 5-15% CTR for users which saw recommendations

• Multiple analysis
• Slice & dice of data
• Customizing data models

Incentivized