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WebGazer VS Mode for Slack

Compare WebGazer VS Mode for Slack and see what are their differences

Propello
Grow Revenue, Reduce Customer Churn, Retain Customers. Reward-driven customer loyalty & retention programmes, partner marketing platform and referral programmes featured
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WebGazer logo WebGazer

Monitor your website's availability with WebGazer, review its performance and get instant notifications when your website goes down. No installation required and free plan available.

Mode for Slack logo Mode for Slack

Share dashboards and analysis with your team on Slack
  • WebGazer Landing page
    Landing page //
    2020-06-12

WebGazer is an uptime monitoring platform that checks if your website is up as it should be and notifies you if anything goes wrong

  • Mode for Slack Landing page
    Landing page //
    2023-08-02

WebGazer

Website
webgazer.io
Pricing URL
Official WebGazer Pricing
$ Details
freemium $19.0 / Monthly
Platforms
Browser Web Cross Platform Wordpress Magento
Edit details

Mode for Slack

Website
mode.com
Pricing URL
-
$ Details
-
Platforms
-
Edit details

Category Popularity

0-100% (relative to WebGazer and Mode for Slack)

WebGazer

Mode for Slack

Website Monitoring
100 100%
Website Monitoring
0% 0
Analytics
0 0%
Analytics
100% 100
Uptime Monitoring
100 100%
Uptime Monitoring
0% 0
Marketing
0 0%
Marketing
100% 100

User comments

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What are some alternatives?

When comparing WebGazer and Mode for Slack, you can also consider the following products

UptimeRobot - Free Website Uptime Monitoring

Baremetrics for Slack - Subscription analytics, insights & notifications in Slack

Pingdom - With website monitoring from Pingdom you will be the first to know when your website is down. No installation required. 30-day free trial.

Statsbot - Connect your database, let Statsbot generate data relationships from your database automatically, and get your first insights in a matter of minutes.

StatusCake - Website Uptime Monitoring & Alerts – Free Unlimited Downtime Monitoring

Statsbot Alerts - Immediately focus on significant changes in your data

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