LiftIgniter Real-time Personalization Platform vs. Reputation.com

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.

I think Reputation.com is best suited for enterprise applications where you want big-picture results plus the ability to drill-down to specific locations. It is a good solution where you want to consolidate vendors as they have multiple components. Of course, certain components are more of a core competency for them than others. But in general, it's a strong solution.

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.

• Streamlines reviews across multiple platforms
• Makes answering reviews/surveys easy across multiple platforms
• Assists with management of consistent information across online listings

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.

• better responses that are more unique
• would love to be notified as soon as the review comes in also
• publish our responses for us

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.

Reputation.com has a better price point. Reputation has other tools that made us choose them over Binary Fountain. There is another company, although the name escapes me, that has similar services to Reputation, but they put a large focus on Yelp and Apple Maps, as opposed to Reputation who puts an emphasis on Google and Google maps.

Incentivized

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

• Update clientele about important information
• Available metrics to improve post qualities
• Daily failures results in less usage due to trust issues

Incentivized