How to Find the Best Times to Post in Mydrop Analytics

By the end of this tutorial you will be able to identify your top-performing posts and the times they were published so you can make informed scheduling decisions in Mydrop Analytics.

Before you start

• Checklist:
  • Connected profiles: make sure the social profiles you want to analyze are connected to Mydrop.
  • Sufficient data: have at least 2 to 4 weeks of posts and engagement data for each profile.
  • Familiarity: know the Posts view and the metric columns: views, reach, likes, comments, engagement rate.
• Note: short date ranges can hide reliable patterns. Use at least 2 weeks; 30 to 90 days is better for time-of-day trends.

1. Open the feature

   1. Click Analytics in the main navigation.
   2. In the Analytics area, choose Posts to open the unified Posts performance view.
   3. Confirm the page shows a list of posts with thumbnails and metric columns.

2. Set up the basics

   1. Click the profile filter and select one or more profiles to compare. Select multiple profiles to compare performance across accounts.
   2. Open the date range control and choose a preset (Last 7 days, Last 30 days, Last 90 days) or pick a custom start and end date.
   3. Apply the filters and wait for the Posts view to refresh with results for the selected profiles and date range.
   • Why this matters: comparing the right profiles and a meaningful date span ensures the time patterns are based on enough data.

3. Add the content or settings to surface top posts

   1. Use the search box to filter by keyword or campaign if you need to narrow results.
   2. Click the column header for the metric you care about (for example Engagement rate, Reach, or Views) to sort posts by that metric.
   3. Use additional filters or the type dropdown if available to show only image, video, or link posts.
   4. Inspect the top rows. For each top post, check the Post thumbnail and the metric columns: views, reach, likes, comments, engagement rate.
   5. Note the published time shown for each top post (time of day and date). Record the times for the highest-performing posts.

4. Review the workflow and confirm peak times

   1. Change the date range to a different span (for example switch from 30 days to 90 days) and re-sort by the same metric to confirm patterns persist.
   2. Compare results across selected profiles: if multiple profiles show peak performance at similar times, those are strong candidates for scheduling.
   3. If results vary by profile, treat each profile separately when making schedule decisions.
   4. Record 2 to 3 time windows (for example 11:00-12:00 and 18:00-19:00) where multiple high-performing posts were published.

Verification checks

• The Posts view lists posts with Post thumbnail and the metric columns populated.
• Sorting by a metric moves the highest values to the top of the list.
• The published time is visible for top posts and matches the times you recorded.
• When you change the date range, the top posts and times update accordingly.

Common mistakes

• Not selecting profiles: the view may show only one profile or no comparative data.
• Using too short a date range: one-week windows often produce noisy results.
• Sorting by the wrong metric: choose engagement rate when you want interaction quality, reach or views for audience size.

Conclusion You should now be able to open Analytics > Posts, select profiles and a date range, surface top posts by the metric you care about, and extract the publishing times that correlate with highest performance. Export or note top posts, then validate those times by scheduling test posts in Calendar.

Open Analytics and set the profile and date range so the Posts view shows unified performance for the profiles you want to compare.

Step 1: Open the feature

1. From the main navigation, click Analytics.
2. In the Analytics area, click Posts or choose the unified performance view labeled Posts.
3. Wait a moment for the page to load. You should see a header with the page title and controls for profiles and date range near the top.
4. Confirm the profile selector is visible. It may appear as a dropdown, chips, or a multi-select control. If no profiles are shown, the selector will prompt you to choose connected profiles.
5. Confirm the date range control is visible. It may show a preset (Last 7 days, Last 30 days) or a custom range field.
6. Look for the Posts table or list below the controls. The table should include a Post thumbnail column and columns for metrics such as views, reach, likes, comments, and engagement rate.
7. If the table is empty, check the profile selector and the date range. An empty table generally means no posts match the current filters.
8. If you see posts listed, note that each row shows a post thumbnail and the metric columns. This is the unified view used to compare performance across selected profiles.

Expected result after Step 1:

• Analytics > Posts is open.
• Profile and date range controls are visible.
• A Posts table or list appears with Post thumbnail and metric columns, or a clear message shows no matching posts.

Step 2: Set up the basics

1. Select profiles to include in the comparison.

   • Click the profile selector and choose one or more profiles you want to analyze.
   • Choose multiple profiles to compare results across accounts, or a single profile to focus on one account.
   • Verify selected profiles are shown as active chips or in the selector summary.
   • Why this matters: no profiles selected will return no comparative data.

2. Choose a date range or preset.

   • Click the date range control and pick a preset such as Last 7 days, Last 30 days, or Last 90 days.
   • For custom ranges, set a start and end date spanning at least 2 to 4 weeks to find reliable posting patterns.
   • Confirm the date range label updates in the header or next to the control.

3. Apply the selections.

   • If the view requires an Apply or Update button, click it.
   • In many cases the table refreshes automatically when you change profiles or date range.

4. Verify the Posts view updated.

   • Check that the Posts table now lists posts matching the selected profiles and date range.
   • Confirm each row shows a Post thumbnail and the metric columns: views, reach, likes, comments, engagement rate.
   • Check totals or summary numbers in the header (if present) update to reflect the selected profiles and date range.

5. Confirm time information is visible for each post.

   • Look in each post row for a published time or date. If the exact time is not visible in the row, click a post to open its details where the published timestamp is shown.
   • Note the publish time as you review a post’s metrics so you can correlate posting time with performance.

6. Quick checklist to confirm setup is correct:

   • Profile selector shows the profiles you want.
   • Date range shows the intended dates or preset name.
   • Posts table has rows and the Post thumbnail column is populated.
   • Metric columns (views, reach, likes, comments, engagement rate) show numbers, not dashes or blanks.

Expected result after Step 2:

• The Posts view reflects your chosen profiles and date range.
• Rows display post thumbnails and metric columns.
• You can see or open a post to view the published time so you can start identifying which posting times correspond to higher performance.

This section shows how to surface top posts in the Posts view and extract their published times so you can schedule future posts at peak hours.

Step 3: Add the content or settings

Checklist before you start this step:

• Profiles selected (one or more).
• Date range set to at least 2 to 4 weeks for pattern detection.
• You know which metric matters for your goal (engagement rate, reach, or views).

1. Surface top posts

   1. In Analytics > Posts, confirm the profile filter at the top lists the profiles you want to compare.
   2. Confirm the date range or preset (Last 7/30/90 days) matches the analysis window.
   3. Use the column headers to sort by the metric you care about. Click the metric column (engagement rate, reach, or views) to sort descending so the highest-performing posts appear at the top.

2. Narrow to relevant content

   1. Use the search box to filter by keyword, campaign, or hashtag if you want a subset of posts.
   2. Apply any available tag or board filters to exclude test or internal posts.
   3. If there are too many posts, adjust the date range so the list focuses on a manageable sample.

3. Inspect post details

   1. For each top post in the sorted list, click the Post thumbnail (or the row) to open the post detail or expand the row.
   2. Locate the published timestamp shown in the post details or the row. Note the time of day and the profile that published it.
   3. Record the metric values you used to surface the post (views, reach, likes, comments, engagement rate) alongside the published time.

4. Quick checks to avoid mistakes

   • Confirm the sort indicator is active on the intended metric (an arrow or highlighted header).
   • If the list is empty after filtering, clear filters or re-select profiles.
   • If times look inconsistent, verify the date range covers multiple weeks so isolated spikes do not mislead you.

5. Save or export findings

   1. If an export or CSV option is available, export the visible rows for further analysis.
   2. If not, copy the top 10 post rows into a spreadsheet and include profile, published time, and your chosen metric.

Expected result for this step:

• A short list (top 5-20) of high-performing posts with their published times and core metrics recorded for review.

Step 4: Review the workflow

1. Compare profiles

   1. With your recorded list, compare published times across the selected profiles.
   2. Look for repeated time windows (for example, 10:00-11:00 or 19:00-20:00) where multiple posts show top metrics.
   3. Mark any time windows that appear across two or more posts or across multiple profiles.

2. Compare date ranges

   1. Change the date preset to a longer or shorter range (switch between 7, 30, and 90 days).
   2. Repeat the sort-and-inspect process to see whether peak times persist across windows.
   3. If peaks only appear in short windows, treat them as temporary; prefer times that repeat across ranges.

3. Validate metric choice

   1. Re-sort by a second metric (for example, engagement rate if you first sorted by reach).
   2. Check whether the same time windows still host top posts.
   3. If different metrics point to different times, define which metric aligns with your objective (visibility vs. interaction).

4. Finalize times for scheduling

   1. Select the time windows with consistent high performance across profiles and date ranges.
   2. Note the exact hour and profile for each recommended slot.
   3. Confirm the timezone shown in Mydrop matches your team’s scheduling timezone.

5. Verify the setup worked

   • You should be able to open Analytics > Posts, apply the same profile and date filters, and re-create the sorted list of top posts.
   • The published times you recorded should appear in the post detail or row for at least three of the top posts.
   • If you exported data, open the export and confirm the same metric values and timestamps appear.

6. Next step (optional)

   • Schedule a small batch of test posts in Calendar at the chosen times and compare their initial performance after 24-72 hours to validate the decision.

Common mistakes to avoid during review:

• Relying on a single-week snapshot.
• Sorting by a metric that does not match your objective.
• Forgetting to check the app timezone before scheduling.

The result of these steps is that you can identify the top posts for one or more profiles and extract the published times that correlate with the highest views, reach, likes, comments, and engagement rate.

Troubleshooting and next steps

Checklist before troubleshooting

1. Profiles selected in Analytics Posts.
2. Date range covers at least 2 to 4 weeks.
3. No active search or overly narrow filters hiding results.

Common problems and fixes

1. Posts view is empty or only shows one profile
   1. Open Analytics > Posts.
   2. Re-open the profile filter and select the profiles you expect to compare. Apply the selection.
   3. Expand the date range to a wider preset (last 30 or 90 days) to surface more posts.
2. Numbers look unexpectedly low or inconsistent across profiles
   1. Confirm you selected the correct metric column to sort by (views, reach, or engagement rate).
   2. Sort by the metric you want to optimize for, then inspect the top rows.
   3. If totals still seem wrong, remove text search and any extra filters and refresh the Posts view.
3. Top posts are older than the date range
   1. Increase the date range to include the publishing dates of those posts.
   2. Use sorting by published date to confirm when each top post was published.
4. Published times seem incorrect
   1. Check whether the posted time shown in the Posts view matches the time you scheduled or published the post.
   2. If a mismatch appears, confirm the post’s published time in the original profile or post details to ensure you’re reading the correct timestamp.

How to verify your fixes worked

1. After changing profile selection, filters, or date range, the Posts list should update immediately to show more rows or different top posts.
2. After sorting by a metric, the top row should be the highest value for that metric.
3. When you click a Post thumbnail, post-level metrics should appear that match the column values.
4. If you scheduled a test post (next steps below), you should see it appear in Posts after it publishes and see its metrics update over the following hours or days.

Next steps to act on findings

1. Export or record top posts
   1. In Posts, use the export action if available, or copy the top rows into a spreadsheet.
   2. Include post title, profile, published time, and the key metrics (views, reach, likes, comments, engagement rate).
2. Choose candidate peak times
   1. From the recorded posts, list the published times that repeat among the top performers.
   2. Prioritize times that appear across multiple profiles or across multiple weeks.
3. Validate by scheduling test posts in Calendar
   1. Open Calendar from the main navigation.
   2. Create a New post, choose the same profile(s), add caption and media, and set the date and time to a candidate peak.
   3. Schedule the post and let it publish.
   4. Return to Analytics > Posts and compare the test post’s performance against control posts after 24 to 72 hours.
4. Repeat and refine
   1. Run the same Posts review weekly or monthly.
   2. Adjust scheduling choices when patterns shift or when new profiles are added.

Small tips

• If in doubt, use a longer date range before concluding a time is worse.
• Prioritize engagement rate when engagement matters more than raw reach.
• If you use multiple timezones across profiles, validate published times in the source profile to ensure consistency.

Conclusion

Use the Posts view in Analytics to compare selected profiles and date ranges, surface top-performing posts, and extract the published times that correlate with peak performance. Fix missing or inconsistent data by reselecting profiles, widening the date range, and removing restrictive filters. Export or note the top posts, schedule controlled test posts in Calendar at candidate peak hours, and verify results in Analytics to make data-driven scheduling decisions.