Guides

Read your analytics like an operator

Mirgent's analytics surface real per-platform metrics, lead-funnel attribution, and exportable client reports. Here's how to read them well.

5 min read Beginner

What Mirgent actually tracks

Mirgent pulls native analytics from each connected platform via your browser session. Numbers are real, not estimated. Engagement rate, reach, follower growth, click-through, lead-funnel state, all sourced from the platform itself.

Update cadence: Free 24h delay, Pro 1h, Agency 15-min. Real-time isn't possible because most platforms don't expose minute-level engagement to authenticated users, Mirgent's number reflects platform reality, not invented numbers.

Scheduling

Per-post engagement metrics

Lead Discovery

Per-platform comparison views

AI Agents

Lead-funnel attribution

Analytics

PDF / CSV export for clients

Per-post metrics

Each Mirgent-published post tracks engagement metrics from publication forward.

1

Engagement rate

(Likes + comments + shares + saves) / reach. Per-post and rolling-30-day. Compare your rate against your platform median to see if you're punching above weight.

2

Reach + impressions

Native counts from each platform. Track organic vs amplified reach; tells you whether posts grow audience or just show to existing followers.

3

Click-through (URLs)

Auto-tagged UTMs on every Mirgent-posted link. CTR per platform + per content template. Identifies posts that drive traffic, not just clout.

Tip

Engagement rate > follower count for solo creator scoring. 5K followers with 5% engagement beats 50K followers with 0.5% engagement on every measurable outcome.

Per-platform comparison

Compare 'how does X content perform on Twitter vs LinkedIn vs Instagram'. Helps decide where to double down.

1

Normalized engagement scores

A like on Twitter ≠ a save on Instagram. Mirgent normalizes per-platform baselines so cross-platform comparison is apples-to-apples.

2

Top-performer surfacing

Each platform's top 5 posts of the period. Click any to see audience activity by hour, top commenters, demographic breakdown (where platform exposes it).

3

Audience-activity heatmap

When your audience is active, per platform, per timezone. Drives best-time-to-post suggestions for the scheduler.

Lead-funnel attribution

Mirgent traces leads from discovery → reply → engagement → conversion. See which platform sources actually convert vs which just generate volume.

1

Funnel state for each lead

Discovered (Lead Hunter found it) → Replied (you approved) → Engaged (they responded) → Converted (signup or sale). Drop-off rate at each transition.

2

Channel attribution

Per-platform funnel comparison. Reddit might drive 10x more discovered-leads than LinkedIn but LinkedIn might convert 5x higher. The data tells you where to focus.

3

Stripe / CRM webhook integration

Stripe webhook to Mirgent on subscription_created closes the funnel: that signup attributes back to the original Mirgent reply. Real revenue attribution, not vanity tracking.

Export reports

Friday: select date range, select client, click Export PDF. Branded PDF with your logo + client name + the data + AI-generated commentary. Send to client. 30 seconds per client.

Scheduling Guide

Calendar, kanban, and queue modes

AI Agents Guide

Configure autonomous AI workflows

Integrations

Connect RSS feeds and platforms

Lead Discovery Guide

Find leads on Twitter and Reddit

Analytics pitfalls

Misreading the dashboard.

  • Optimizing for impressions. Reach without engagement = vanity. Optimize for engagement rate first; reach follows.
  • Comparing across platforms without normalization. Twitter likes ≠ LinkedIn likes ≠ Instagram likes. Use Mirgent's normalized scores, not raw counts.
  • Ignoring negative trends. If engagement rate is dropping 5%/week, something's wrong, content cadence, tone shift, audience fatigue. Catch early; fix early.
  • Reporting too often to clients. Weekly is the sweet spot. Daily is noise; monthly hides trends. Weekly = enough signal for decisions.

Three reporting routines

What works at different scales.

  1. Solo creator: Friday self-review

    Friday afternoon: open Analytics, identify top-performing post type of the week, template it for next week. 15 min total.

  2. B2B team: weekly internal report

    Marketing lead pulls week's metrics, identifies what to double down / cut, presents in Monday meeting. 30 min prep.

  3. Agency: Friday client reports

    Cycle through 10-25 clients. Per-client: pick date range, click Export PDF, send. 30 sec per client = 5-12 min total.

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Analytics FAQ

How fresh is the data?

Free 24h delay. Pro 1h. Agency 15-min. Real-time isn't possible because most platforms don't expose minute-level engagement counts.

Can I export data for specific clients?

Pro: CSV. Agency: PDF + CSV with white-label branding (your logo, client name, AI commentary). Designed for direct send to client portals.

How far back does data go?

Free: 3 days. Creator: 30 days. Pro: 90 days. Agency: 365 days. Mirgent stores from your signup forward; we can't backfill historical platform data.

Are these real numbers?

Yes. Every metric is sourced from the platform's native analytics. We don't estimate, model, or extrapolate. If Twitter shows 1247 impressions, Mirgent stores 1247.

Does analytics work without the Chrome extension?

No, same extension that posts also reads analytics. If you want analytics-only without posting, the extension still has to be installed.

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