How to Build a Social Media Report from Analytics

Step by step

1. 1

   Define the report's goal and choose three to five KPIs

   Before opening any dashboard, write down the single business goal this reporting period was meant to serve — awareness, audience growth, engagement, traffic, or lead generation — and map each KPI directly to it. Awareness reports lean on reach and impressions. Growth reports need follower count change and follower growth rate. Engagement reports focus on engagement rate, saves, shares, and comments. Traffic reports require link clicks or bio-link visits, which may need a UTM-tagged link tracker outside SocialKit. Limiting yourself to three to five KPIs forces clarity; a report with twenty metrics tells no story.

   Tip: The /blog/social-media-kpis-that-matter pillar has a full breakdown of which KPIs map to which goals — skim it before your first client report to avoid choosing proxy metrics that look good but don't reflect real business outcomes.

2. 2

   Open the SocialKit analytics dashboard and set your date range

   In SocialKit, navigate to the Analytics section. Select the accounts you want to include in this report — you can view a single account or compare multiple accounts across platforms. Set the date range to match your reporting period (e.g., the prior calendar month). As of June 2026, the analytics dashboard shows per-account and per-post data for all 11 connected platforms; the available metric columns vary by platform because each network exposes different data through its API.

   Tip: Use a consistent date range every month — same start and end day — so period-over-period comparisons are apples-to-apples. If a holiday or product launch distorted a week, note it in the report rather than adjusting the window.

3. 3

   Record account-level metrics: reach, impressions, and follower growth

   At the account level, note total reach (unique accounts that saw any of your content), total impressions (total times content was displayed, including repeat views), and follower change for the period. Follower growth rate is the more useful figure than raw count: divide net new followers by starting follower count and multiply by 100. SocialKit surfaces follower change data from the connected platform's API; the exact granularity (daily vs weekly) varies by network as of June 2026.

   Tip: Reach and impressions mean different things on different platforms — Instagram separates them clearly, while some platforms report only impressions. Note in your report which metric applies per platform to avoid confusion for clients who manage multiple networks.

4. 4

   Pull per-post metrics and identify your top and bottom performers

   Switch to the per-post view and sort by engagement rate (not raw likes) to identify your top five and bottom five posts for the period. For each top performer, note the format (image, video, carousel, link), the day and time it was published, and any content pattern (question, behind-the-scenes, product feature, user-generated content). Do the same for underperformers. This pattern analysis is the most actionable part of any social media report — it tells you what to do more and less of next period.

   Tip: Use the /tools/engagement-rate-calculator to double-check your engagement rate figures if you want a platform-agnostic calculation: (likes + comments + shares) ÷ reach × 100. Different platforms define "engagement" differently in their APIs, so a consistent manual formula gives you a comparable number across networks.

5. 5

   Note the posting frequency and best-time performance

   Record how many posts were published per platform during the period and compare it to your planned cadence. Then look at whether posts published in your scheduled best-time windows outperformed posts outside those windows. SocialKit's best-time auto-posting feature slots content into high-engagement windows based on your audience's activity data; if you used it, the analytics will show whether the predicted windows correlated with stronger reach or engagement. Document this as a one-sentence observation — "Posts in the Tuesday 8–9 AM window averaged 2.3× the engagement of posts outside it" — rather than a raw number.

6. 6

   Add context and period-over-period comparison

   Raw numbers without context mean nothing: 500 post impressions is underwhelming for a brand with 50,000 followers but strong for a 300-follower account in month two. Set the prior period in SocialKit's date picker and note the percentage change for each KPI. Add one sentence of qualitative context per platform: did a trend topic boost reach? Did a product launch inflate engagement in a way that won't recur? Did a platform algorithm change during the period that you noticed in the data? These notes transform a data dump into a report a client can interpret without a call.

   Tip: Keep a running notes file beside each client's analytics folder. Every time something unusual happens — a viral post, a platform outage, a campaign launch — timestamp it. That file becomes the context layer for every future report.

7. 7

   Assemble the report document and add three to five recommendations

   Structure the final report document in three sections: Summary (the three to five KPIs, period-over-period change, one-sentence verdict), Performance Detail (per-platform breakdown, top posts, frequency data), and Recommendations (three to five specific actions for the next period, each tied to a data point from the report). Export charts or screenshots from SocialKit's analytics views as supporting visuals — as of June 2026, check the dashboard's export options for your plan, as available formats may vary. Keep the full document under two pages or ten slides; anything longer signals unclear thinking, not more insight.

   Tip: Frame every recommendation as an experiment: "Test three carousel posts in the next four weeks to see if the format holds its 4.1% average engagement rate at scale" is more useful than "post more carousels." Testable recommendations give next month's report a built-in success criterion.

Best practices

• Report on three to five KPIs tied to the stated goal for the period — never include a metric just because it's available. Vanity metrics (raw follower count, total impressions without reach context) inflate reports without informing decisions.
• Always show period-over-period percentage change alongside the absolute number. A reach figure of 12,000 means nothing without knowing whether it is up 18% or down 30% versus last month.
• Separate organic metrics from paid in the report structure. SocialKit surfaces organic post and account data; paid metrics come from ad platforms directly. Mixing them without a clear label misleads clients about what organic content is actually achieving.
• Identify the top three and bottom three posts every period and write one sentence about the content pattern for each group. This pattern analysis, accumulated over six months, becomes a reliable content strategy signal.
• Deliver the report on a fixed day each month — not "whenever analytics are ready." Consistent delivery builds client trust and forces you to maintain a consistent data-collection habit.
• Use the /blog/social-media-analytics-for-beginners guide to calibrate what "good" engagement rate looks like per platform before presenting benchmarks to a client — averages differ significantly between Instagram, LinkedIn, and X.

Good to know

Do it in SocialKit