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Getting Started with Reports

What is the Reports Page and How Can It Help Me Understand My Community Growth?

Written by Archive AI
Updated this week

πŸ“‹ Available on: Startup, Growth, and Enterprise plans.

Depending on your Archive plan, you may have access to different charts. Here, we will talk about all of them.
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Archive's Reports feature is a comprehensive analytics tool that goes beyond simply collecting tagged user-generated content (UGC). It meticulously tracks influencers and their associated metrics, clearly showing your program's performance. With our industry-leading technology.
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The Reports feature is available on Startup, Growth, and Enterprise plans.


1. Knowing our Reports page

Our Reports page allows you to track and categorize the content you're saving, offering a clear picture of the most popular types within your community.

NOTE: Reports are based on the timezone applied to your workspace.


1.1 Accessing your Reports page

Move your mouse to the left side of your screen and click on Reports.


1.2 Filtering data

The filters available to you depend on your plan. The following filters are available on all plans (Startup, Growth, and Enterprise):

  • Social Profiles

  • Collections

  • Content Type

  • Post Type

  • Source

  • Tags

The following filters are available on Growth and Enterprise plans:

  • Engagement

  • Followers

  • Label

  • Usage Rights

  • Verification

You can also set Archive to display hourly, daily, weekly, or monthly data for your selected time range.


1.3 Creating a Report View

After filtering the necessary items, click on Save View at the top right of your screen and then select New View. After clicking on New View, you must choose a name for it and click Save.


2. Exploring our charts

Charts provide quick visual insights, facilitate data comparison, enhance communication of complex information, reveal patterns, support decision-making, save time in data analysis, and highlight areas needing further investigation. These benefits make charts a powerful tool for understanding and presenting data effectively.
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​Note: Our charts display green or red arrows under each metric to indicate whether the value has increased or decreased during the last period. The specific period depends on your date filter. For example, if you select the last 7 days, the comparison will be made against the 7 days prior.


2. Exploring your charts

Charts give you quick visual insights, make it easier to compare data, reveal patterns, and support decision-making. Each chart surfaces a different layer of your program's performance.

Note: Charts display green or red arrows under each metric to show whether the value has increased or decreased compared to the previous period. The comparison period matches your date filter. For example, if you select the last 7 days, it compares against the 7 days before that.


2.1 EMV

Earned Media Value (EMV) measures the value of engagement on your content. It's a relative metric that factors in engagement type, post type, and audience size. EMV is available on all plans (Startup, Growth, and Enterprise).

Sub-metrics shown in this chart:

  • Total β€” Combined EMV from all platforms in your selected timee range.

  • EMV Instagram β€” Total EMV from Instagram content.

  • EMV TikTok β€” Total EMV from TikTok content.

  • EMV YouTube β€” Total EMV from YouTube content.

  • Potency β€” Estimates how much EMV each creator profile contributes.

EMV gives you a tangible way to assess campaign performance, identify your most valuable partnerships, and demonstrate impact to stakeholders.

Want to learn more? Check out What is EMV (Earned Media Value)?


2.2 Content Count

Content Count tracks the volume of UGC associated with your brand over time.

Sub-metrics shown in this chart:

  • Total β€” The total number of content pieces across all platforms.

  • IG Reel β€” Number of Instagram Reels published during the selected period.

  • IG Story β€” Number of Instagram Stories published during the selected period.

  • IG Feed Post β€” Number of Instagram Feed Posts published during the selected period.

  • TT Video β€” Number of TikTok videos published during the selected period.

  • YT Video β€” Number of YouTube videos published during the selected period.

  • YT Short β€” Number of YouTube Shorts published during the selected period.

  • Frequency β€” Content Count divided by the number of creator profiles. This shows the average content production per profile across your program.


2.3 Engagement

The Reports page lets you monitor engagement across all tagged posts, helping you identify what's working and where to adjust.

Sub-metrics shown in this chart:

  • Total β€” The sum of all interactions (likes, comments, and shares) across all content.

  • Likes β€” Total likes across all content.

  • Comments β€” Total comments across all content.

  • Shares β€” Total shares across all content.

  • Engagement Rate β€” Total engagements divided by total followership (combined follower count), expressed as a percentage. Also called Engagement Rate by Followers (ERF), this tells you how the campaign performed relative to the contracted audience.

  • Native Engagements β€” Engagements scoped to Instagram Reels, TikTok videos, and YouTube videos and Shorts only, where data is platform-reported rather than estimated.

  • Eng. Rate by Views (ERV) β€” Total native engagements divided by total native impressions, expressed as a percentage. This tells you how video content performed with the people who actually watched it. ERV applies to Instagram Reels, TikTok videos, and YouTube videos and Shorts only.

Engagement Rate vs. Eng. Rate by Views

These two metrics answer different questions and are designed to be used together. Engagement Rate tells you how content performed relative to the contracted audience. ERV tells you how it performed with the people who actually saw it. A campaign can show low Engagement Rate and strong ERV β€” this typically means content reached well beyond the creator's follower base, and the people who saw it engaged strongly.

Note: ERV can make high-reach content look lower than expected. A video with 5 million views and 100K engagements shows 2% ERV β€” which looks low, but 100K engagements is a strong result. Always read ERV alongside the raw engagement count.


2.4 Impressions

Impressions are the number of times your content was displayed on a user's screen, regardless of whether they interacted with it.

Sub-metrics shown in this chart:

  • Total β€” Combines platform-reported views from Instagram Reels, TikTok, and YouTube with estimated views for Instagram Stories and Feed Posts.

  • Impressions Rate β€” Total impressions divided by total followership, expressed as a percentage.

  • Imp. Distribution β€” Total impressions divided by total followership, expressed as a multiplier. For example, 4.5x means content reached 4.5 times the creators' combined follower base. This is the same underlying data as Impressions Rate, just in a format that's easier to read alongside raw view counts.

  • Native Impressions β€” Impressions scoped to Instagram Reels, TikTok videos, and YouTube videos and Shorts only, where views are platform-reported rather than estimated. These power the ERV calculation.

How to interpret Impression Distribution:

  • Less than 1x β€” Content reached fewer people than the creators' full follower base. Common for Stories-heavy or feed-heavy campaigns where impressions are estimated conservatively.

  • 1–5x β€” Moderate reach beyond followers, with some algorithmic amplification.

  • 10x or more β€” Strong FYP or Explore distribution. Content was pushed well beyond the creators' existing audiences.

Impression Distribution is best read alongside the raw impression number β€” for example, "626K impressions Β· 61x follower base" gives you both the scale of reach and a sense of how much of it came from algorithmic amplification.


2.5 Total Followership

Total Followership is the combined number of followers across all the creators in your selected timee range.

  • It gives you a bird's-eye view of how many people you could potentially reach through your creator network.

  • You can track how your influencer network is growing over time.

  • Analyzing Total Followership alongside other metrics helps you identify which creator tiers (micro, macro, or mega) are most effective for your brand.


2.6 Potential Reach

Potential Reach represents the maximum number of people who could potentially see your content. It's calculated by multiplying the total followership of all participating creators by the number of content pieces they've posted.


2.7 Social Profiles Activity by Post Date

This chart shows when creators are publishing content, helping you understand posting patterns and their impact over time.

Sub-metrics shown in this chart:

  • Total β€” The total number of creator profiles active during the selected period.

  • Retained β€” Creator profiles that were active in both the current and previous period.

  • New β€” Creator profiles that posted for the first time during the selected period.

Tracking activity by post date helps you spot trends, measure campaign momentum, and quickly adapt if you notice a dip in content creation.


2.8 Sentiment Analysis

Sentiment Analysis shows how audiences are responding to your content, broken down by tone. Each piece of content is categorized into one of four sentiment types, giving you a read on the overall mood around your brand mentions.

Sub-metrics shown in this chart:

  • Positive β€” Content where the audience response is clearly favorable.

  • Neutral β€” Content with no strong positive or negative signal.

  • Mixed β€” Content that has both positive and negative elements.

  • Negative β€” Content where the audience response is unfavorable.

Each category shows a count and a percentage of total content, so you can see at a glance how sentiment is distributed across your program. The chart also breaks this down over time, so you can spot shifts in tone following a campaign, product launch, or brand moment.


3. FAQ

If a post is made in December and viewed in February, do the views count for December or February?

Post data is attributed to the date the content was posted. We may have fetched the engagement numbers in February, but the engagement still belongs to the post and the date it was published.

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