Software Alternatives, Accelerators & Startups

Appsee VS SHIELDAPP for LinkedIn

Compare Appsee VS SHIELDAPP for LinkedIn and see what are their differences

Appsee logo Appsee

Appsee’s qualitative app analytics lets you watch user session recordings and touch heatmaps for every screen, supplying you with a deeper understanding of user behavior and performance issues.

SHIELDAPP for LinkedIn logo SHIELDAPP for LinkedIn

Redefining LinkedIn Analytics since 2019
  • Appsee Landing page
    Landing page //
    2018-09-30

Appsee's mobile app analytics go the extra step of tracking your app’s user experience. With user session recordings and touch heatmaps you can see how your users behave and quickly identify usability and performance issues with your apps. Top brands like 7-Eleven, Duolingo, and Verizon use Appsee to make data-driven decisions on their mobile product.

Appsee's powerful qualitative tools, paired with real-time analytics, user flows, and crash symbolication, enable mobile pros to create the most optimized app possible.

GETTING STARTED WITH APPSEE

To integrate the Appsee SDK with your iOS or Android app takes only one line of code and less than 5 minutes of a developer's time.

  • SHIELDAPP for LinkedIn Landing Page
    Landing Page //
    2024-01-25

SHIELDAPP for LinkedIn

$ Details
paid Free Trial $8.0 / Monthly (STARTER Plan, Historic data, All key metrics, Post overview)
Platforms
Mobile Desktop Web
Release Date
2019 April

Appsee features and specs

No features have been listed yet.

SHIELDAPP for LinkedIn features and specs

  • Historic Data: Yes
  • Profile Stats: Yes
  • Word Could: Yes
  • Post-life indicator: Yes
  • Visual Benchmarks: Yes
  • Stats Comparison: Yes
  • Content Labels: Yes
  • Network Stats: Yes
  • Top Post Highlights: Yes
  • Audience Demographic: Yes
  • Search keywords and hastags: Yes
  • Earned media value calculator: Yes
  • Automatic labels: Yes

Appsee videos

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SHIELDAPP for LinkedIn videos

Introducing SHIELD Analytics

Category Popularity

0-100% (relative to Appsee and SHIELDAPP for LinkedIn)
Analytics
61 61%
39% 39
LinkedIn
0 0%
100% 100
Mobile Analytics
100 100%
0% 0
Web Analytics
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, SHIELDAPP for LinkedIn seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Appsee mentions (0)

We have not tracked any mentions of Appsee yet. Tracking of Appsee recommendations started around Mar 2021.

SHIELDAPP for LinkedIn mentions (1)

  • Building a microsaas in public
    Great idea. Have you looked at shieldapp.ai ? It is only for Linkedin. I am a subscriber of the mid-tier subscription but tempted to upgrade so I can download the data in spreadsheet form. It uses a Chrome extension so you don't have to provide your Linkedin credentials. I assume that prevents Linkedin from blocking them. Source: over 2 years ago

What are some alternatives?

When comparing Appsee and SHIELDAPP for LinkedIn, you can also consider the following products

Mixpanel - Mixpanel is the most advanced analytics platform in the world for mobile & web.

inlytics.io - LinkedIn Analytics and Content Scheduling Tool. Improve Content performance, therefore, grow your Influence. Get started for free.

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.

Smartlook - Qualitative analytics for websites and mobile apps Start understanding the 'whys' of your users' behaviors with clear, visual insights. With session recordings and event tracking, you get the complete picture.

Taplio Stats - LinkedIn content inspiration and analytics.