What metrics make up an account health score?

Key metrics include engagement rate relative to follower count, content removal rate, rate limit frequency, shadowban status, follower-to-following ratio, account age, posting consistency, and whether the account has received any platform warnings. The weight of each metric varies by platform and the scoring system being used.

How often should you check account health?

For active distribution accounts, health should be monitored continuously through automated systems. At minimum, check daily for rate limits, content removals, and engagement drops. Weekly reviews should assess trends in reach, follower growth, and any new platform restrictions. Accounts showing declining health need immediate attention.

Can you recover an account with a low health score?

Yes, in most cases. Reduce posting frequency, increase genuine engagement with others' content, avoid all promotional activity for 7 to 14 days, and ensure the account's technical infrastructure is clean. Most platform restrictions are temporary if the underlying behavior changes. Permanent recovery typically takes 2 to 4 weeks of rehabilitative activity.

Do platforms publish their own account health scores?

Most platforms do not provide explicit health scores to users. LinkedIn's Social Selling Index is a notable exception. Other platforms surface indirect signals like reduced reach, rate limits, and content warnings. Third-party tools and internal monitoring systems fill this gap by tracking observable signals and computing composite health scores.

What Is an Account Health Score for Social Media?

An account health score is a composite metric - either provided by a platform or calculated internally - that measures the overall standing, trust level, and risk status of a social media account based on signals like engagement rates, content removals, platform restrictions, and behavioral patterns. It is the primary way teams running multi-account operations track which accounts are thriving, which are at risk, and which need intervention.

Why Does Account Health Matter?

Social media platforms do not treat all accounts equally. Accounts with strong health signals get better reach, fewer restrictions, and more favorable algorithmic treatment. Accounts showing poor health get throttled, restricted, or banned.

The scale of platform enforcement makes this concrete. Meta reported removing over one billion fake accounts per quarter from Facebook alone. X suspended over 463 million accounts for spam or manipulation in the first half of 2024. In Meta's 2025 AI moderation push, thousands of accounts - including verified business accounts - were suspended as new detection models rolled out.

For teams managing distribution accounts, each account represents weeks of warm-up investment, accumulated karma or followers, and established community presence. Losing an account to a preventable ban wastes all of that investment. Health scoring lets you spot problems early and take corrective action before a temporary restriction becomes a permanent suspension.

What Signals Indicate Account Health?

Account health is derived from several categories of observable signals:

Engagement Metrics

Engagement rate - The ratio of interactions (likes, comments, shares) to impressions or followers. A healthy account maintains consistent engagement relative to its audience size. Sudden drops in engagement rate can indicate reduced algorithmic distribution - an early warning sign.

Reach trends - How many people see the account's content over time. A gradually declining reach curve, even with consistent posting, suggests the platform is throttling the account.

Reply and interaction quality - Accounts that receive genuine replies and conversations are healthier than accounts where engagement is superficial or nonexistent.

Restriction Signals

Rate limits - Being rate-limited on actions like following, liking, or commenting is a direct signal that the platform has flagged the account for suspicious activity. Frequent rate limits indicate declining health.

Content removals - Posts being removed by automated moderation or manual review. A single removal may be incidental, but a pattern of removals indicates the account is on a watch list.

Shadowban indicators - On Reddit, this means posts and comments becoming invisible to other users. On other platforms, it manifests as dramatically reduced reach without any notification. Understanding how shadowbans work is essential for detection.

Feature restrictions - Temporary loss of features like DM capability, live streaming access, or story posting. Platforms often restrict features before escalating to full account suspension.

Account Credibility Signals

Account age - Older accounts with established history are treated more favorably than new accounts. This is why proper warm-up matters.

Profile completeness - Accounts with complete profiles, profile pictures, bios, and connected information score higher in platform trust systems. The LinkedIn algorithm weights profile completeness particularly heavily.

Follower-to-following ratio - An account following thousands of users but with few followers looks like a spam account. A healthy ratio depends on the platform and niche, but generally the follower count should be proportional to following count over time.

Karma and reputation - On Reddit, karma is a direct, visible health metric. Low karma limits what subreddits an account can participate in and signals low community trust.

How Do You Build a Health Scoring System?

Since most platforms do not provide explicit health scores - with the exception of LinkedIn's Social Selling Index - teams need to build their own monitoring systems. An effective health scoring system tracks signals across three tiers:

Green - Healthy

The account is performing well. Engagement rates are consistent or growing. No recent rate limits, content removals, or restrictions. Reach is stable or increasing. The account can operate at full distribution capacity.

Yellow - At Risk

Early warning signs are present. Engagement has dropped noticeably. The account has been rate-limited in the past 7 days. One or more posts have been removed. Reach is declining. The account should reduce activity, increase organic engagement, and be monitored closely.

Red - Critical

The account is in danger of suspension. Multiple content removals, frequent rate limits, possible shadowban indicators, or a platform warning has been received. The account should stop all distribution activity immediately and enter a rehabilitation protocol - reduced posting, genuine engagement only, no promotional content for at least 14 days.

What Are the Platform-Specific Health Signals?

Each platform surfaces health differently:

Reddit - Karma score, post removal rate by AutoModerator, shadowban status, and subreddit-specific restrictions. Reddit is the most transparent about account standing through its karma system.

LinkedIn - Social Selling Index, connection acceptance rate, post impression trends, and profile view counts. LinkedIn surfaces more data about account performance than most platforms.

X (Twitter) - Follower growth rate, engagement rate, impression counts, and any labeled or restricted tweets. The Twitter algorithm deprioritizes accounts with consistently low engagement.

Instagram - Reach and impression trends, story view counts, action blocks (temporary restrictions on following/liking), and content removal notices. The Instagram algorithm heavily penalizes accounts that trigger action blocks.

TikTok - Video view counts relative to followers, For You page appearances, and content removal notices. The TikTok algorithm gives new content broad initial distribution, so consistently low views relative to that baseline indicate health problems.

How Does Conbersa Monitor Account Health?

At Conbersa, account health monitoring is automated and continuous. Every account in our system has a real-time health score computed from platform-specific signals - engagement trends, restriction events, reach metrics, and infrastructure status. When an account's score drops below threshold, the system automatically reduces activity and shifts the account into a recovery protocol. This prevents the cascading failure that happens when a struggling account continues to operate at full speed and triggers a permanent ban. Combined with proper anti-detection infrastructure and disciplined warm-up processes, health monitoring closes the loop - ensuring accounts are not just created correctly but maintained correctly over their entire operational lifetime.