Shield Analytics alternatives after the shutdown
Shield Analytics shut down in 2026. Learn how to preserve your data, evaluate access models and rebuild a reliable LinkedIn analytics routine.
Shield Analytics announced its wind-down in 2026. If you relied on it for LinkedIn post analytics, preserve any data you can still access and re-evaluate the job you need done. This guide covers the documented context, questions to ask of alternatives, and the limits of treating another tool as a replacement.
What happened to Shield Analytics
Shield Analytics was a LinkedIn analytics tool used by individual creators, consultants, and agencies. Public descriptions of the service included post-level analytics, audience breakdowns, and historical reporting. The exact coverage and retention available to each account should be checked against the official export or announcement.
In 2026, Shield's public channels described a wind-down. The founders' announcement provides the relevant context; do not infer more about the cause or data availability than the official source states.
If you were a Shield user, your data access ended with the shutdown. Your historical LinkedIn data is still in LinkedIn's systems - the question is which tool can now surface it.
What Shield offered (so you know what to compare)
Before comparing alternatives, it helps to know exactly what Shield provided:
- Post-level analytics: impressions, engagement rate, reach, comments and shares for the posts covered by the account
- Audience demographics: job titles, industries, company sizes, seniority levels for everyone who engaged with your content - a level of detail LinkedIn still doesn't expose in its native dashboard
- Trend tracking: your follower growth, engagement trends, and best-performing content types over custom date ranges
- CSV export: raw data you could pull into Excel, Notion, or your own reporting setup
- Multi-profile management: useful for teams and agencies running multiple LinkedIn profiles
Pricing and access conditions can change. Review the archived terms and official announcement rather than relying on an old price or inferring that one access model alone explains the wind-down.
How to assess an alternative after Shield
Orsana - content decisions from available signals
Pricing: Check the current Orsana pricing page before making a comparison Best for: Consultants, coaches, freelancers who want analytics that lead to action
Orsana is not a like-for-like replacement for Shield. It can help organize available content signals and connect them to editorial decisions, but its coverage, source and history should be verified for the account and plan you use.
What it does that Shield didn't:
- Identifies your content archetype - the communication style that fits your natural voice
- Generates LinkedIn post ideas based on your past performance data, not generic templates
- Shows which post formats actually work for your specific audience
- Can help compare timing signals when the required data is available; treat any suggested time as a hypothesis to test
What carries over from Shield:
- The documented access method should be checked against Orsana's current product and privacy information
- Post-level signals only for the coverage actually available to your account
- Engagement rate, impressions, reach, and trend tracking
- Audience demographic insights
What it doesn't replicate:
- CSV export (currently not available)
- Multi-profile management for agencies (Orsana is focused on individual creators)
Free tier: Yes - post analytics and basic AI generation with no credit card required.
AuthoredUp - writing workflow with analytics
Pricing: Check AuthoredUp's current pricing page Best for: Creators focused on post quality and formatting
AuthoredUp is primarily a LinkedIn post editor with analytics as a secondary feature. It lets you write and format posts with rich text (bold, italic, bullet points) before publishing - useful since LinkedIn's native editor often breaks formatting.
On the analytics side, AuthoredUp tracks post performance and basic engagement metrics. It's shallower than Shield and doesn't offer audience demographic breakdowns.
Access method: Browser extension that reads your LinkedIn interface from within your session. Carries low-to-moderate account risk.
Who it's for: Creators who care more about writing quality and consistency than deep data analysis.
Taplio - scheduling and analytics workflow
Pricing: Check Taplio's current pricing page Best for: Creators who want an all-in-one tool (content + scheduling + analytics)
Taplio bundles LinkedIn post scheduling, AI content generation, and analytics into one tool. It's significantly more expensive than Shield was, and it's not a pure analytics replacement.
The important caveat: Read each provider's current access method and LinkedIn's current rules before using a workflow that handles session data or automates actions. We cannot infer an account outcome for every user, and no third-party article can promise zero risk.
Who it's for: Creators who prioritize content scheduling convenience and are willing to accept the LinkedIn TOS risk.
LinkedIn Native Analytics - first-party baseline
Pricing: Free Useful for: Anyone who wants to start with first-party data before comparing other tools
LinkedIn's native dashboard can provide first-party post signals, with fields and history depending on the account, content type and current interface. It may not reproduce every historical report or export that a third-party tool offered, but it is a reasonable baseline before adding software.
Who it's for: People who want to establish a first-party baseline before deciding whether another analytics workflow is necessary.
Side-by-side comparison
| Feature | Orsana | AuthoredUp | Taplio | LinkedIn Native |
|---|---|---|---|---|
| Post-level analytics | Yes | Yes | Yes | Yes |
| Full posting history | Yes | Yes | Yes | ~1 year |
| Audience demographics | Yes | Basic | Basic | Basic |
| AI content generation | Yes | No | Yes | No |
| Content archetype analysis | Yes | No | No | No |
| Best time to post | Yes | No | Partial | No |
| CSV export | No | No | Yes | Limited |
| Multi-profile (agency) | No | No | Yes | No |
| LinkedIn access method | Public data | Browser ext. | Cookie | Native |
| Access and account considerations | Review current provider terms | Review current provider terms | Review current provider terms | First-party LinkedIn service |
| Price | Check current page | Check current page | Check current page | Check current LinkedIn plan |
How to migrate from Shield to Orsana
Orsana reads your public LinkedIn data - no password, no session cookies, no extension. Your historical post data is pulled in as soon as you connect.
A simple setup sequence:
- Create a free Orsana account at useorsana.com/register
- Connect your LinkedIn profile through the onboarding flow
- Check which posts and signals Orsana can actually access for your account, then record the coverage and date
Once connected, compare the available metrics with your own LinkedIn view. Do not assume that a dashboard reproduces Shield's history or definitions without checking the source and coverage.
The difference: Orsana then uses that data to generate content suggestions. Instead of just showing you what worked, it shows you what to create next - based on your specific results, not industry benchmarks.
FAQ - Shield Analytics alternatives
Is there a direct Shield Analytics replacement?
Orsana should not be treated as a like-for-like replacement. Its value is the connection between available content signals and editorial decisions; verify the current source, coverage, export options and account fit before migrating.
Will my old Shield data transfer?
No tool can import your historical Shield data directly - Shield's systems are no longer operational. What Orsana (and other tools) can do is pull your public LinkedIn post history. Your data lives in LinkedIn's systems; Shield was just surfacing it.
Which Shield alternative is safest for my LinkedIn account?
If account safety is a priority, compare whether each workflow uses public data, an extension, session data or automation, then read the provider's current terms. Avoid claims of zero risk and do not assume that one access model is suitable for every account.
Is Orsana more expensive than Shield was?
Do not compare an archived Shield price with current plans without checking the date and billing terms. Compare the job to be done, data source, historical coverage, export, team support and account requirements before choosing an alternative.
Can I use LinkedIn native analytics instead of paying for a tool?
Yes, for basics. LinkedIn's native dashboard can provide first-party post signals, with availability and history depending on the account and interface. Start there, document the definitions, and add another tool only when it answers a decision the native view does not. There is no universal point at which every creator outgrows native analytics.
Read next: Best LinkedIn Analytics Tools 2026 · LinkedIn content archetypes: find yours in 5 minutes · How to build your personal brand on LinkedIn
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