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Retailigence VS CloudEngage

Compare Retailigence VS CloudEngage and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Retailigence logo Retailigence

Retailigence is a hyperlocal marketing platform providing customer application usage data to retailers and brands.

CloudEngage logo CloudEngage

CloudEngage platform enables geo-responsiveness in web and mobile sites with a simple line of code, allowing for enhanced localization.
  • Retailigence Landing page
    Landing page //
    2022-08-01
  • CloudEngage Landing page
    Landing page //
    2022-01-29

Retailigence videos

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Retailigence - Retail and Distribution App review

More videos:

  • Review - Retailigence APP Review by GreenTech (Samsung)
  • Review - Retailer App Review - Retailigence

CloudEngage videos

No CloudEngage videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Retailigence and CloudEngage)

Retailigence

CloudEngage

Local Advertising
42 42%
Local Advertising
58% 58
Marketing Platform
36 36%
Marketing Platform
64% 64
Ad Networks
49 49%
Ad Networks
51% 51
Office & Productivity
0 0%
Office & Productivity
100% 100

User comments

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What are some alternatives?

When comparing Retailigence and CloudEngage, you can also consider the following products

OwnLocal - OwnLocal is the automated digital ad platform for local media. We take traditional ads and automatically turn them into digital marketing.

Boxever - Boxever is a software solution to analyse customer/client profiles for companies.

DataSphere - DataSphere is a hyperlocal marketing platform offering turnkey technology, content and sales solutions for large media companies.

OrangeSoda - OrangeSoda provides campaign management technology solutions that track, report and optimize marketing processes of SMBs.

Surefire Local - Surefire Local is a marketing cloud for local business.

Optim’Match - Optim’Match is a platform that enables users to unleash the power of machine learning to attract, convert, and retain customers.

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