Straight answer: a Loomly-style dashboard is only useful if you check three things weekly (engagement rate by post type, click-throughs on links, and best posting times by platform), then change one thing about your content plan based on what you find. Everything else on that screen is decoration. Most people scroll the whole dashboard, feel vaguely informed, and post exactly the same way next week.
I have used Loomly for client work since 2021, and I have watched a lot of business owners open that dashboard, nod at the pretty graphs, and close the tab having learned nothing they will act on. That is not a Loomly problem. It is a human problem. We like looking at data. We are much worse at using it to make a decision that costs us something, like dropping a content format we personally enjoy but that nobody engages with.
Start with the one number that predicts growth
Ignore total reach for a minute. Reach is the number that makes founders feel good and does almost nothing for your business. I have seen accounts with 40,000 monthly reach and three enquiries a month, and accounts with 6,000 reach generating 15 booked calls. The number that correlates with revenue, in my own client data, is engagement rate on link posts specifically, not on the whole feed.
Here is why. Reach tells you how many people scrolled past your content. Engagement rate on link-in-content posts tells you how many people cared enough to click through toward something you sell. If you run a service business, that gap between “saw it” and “clicked it” is where your pipeline starts.
A quick real example
Last year I worked with a small B2B training company posting five times a week across LinkedIn and Instagram, scheduled through Loomly. Their dashboard showed 28,000 combined impressions a month, which the founder was proud of. But their link posts (the ones pushing to a lead magnet) had a click-through rate of 0.4 percent, roughly 30 clicks a month from all that reach. Meanwhile their carousel posts with no link, just pure advice, sat at a 6.2 percent engagement rate.
The fix was not “post more.” It was restructuring the link posts to look and read like the high-performing carousels, then adding the link only in the first comment instead of the caption. Within six weeks, click-throughs on those posts went from about 30 a month to 140. Impressions barely moved. That is the whole point: the vanity number stayed flat while the number that mattered tripled, because we stopped optimising for reach and started optimising for the click.
The four sections of the dashboard, and what each one tells you
If you have used Loomly or a similar scheduling and analytics tool (Buffer, Sprout Social, Later all follow roughly the same layout), you will recognise these four blocks. Here is what each is for.
- Overview / summary cards: total posts, total reach, total engagement, follower change. Useful for a five-second sanity check (“did anything crater this week”), not for decisions. Do not spend more than 30 seconds here.
- Post performance breakdown: this is your working area. Sort by engagement rate, not raw numbers, or a big-follower platform will always win by default and hide what is working.
- Best time to post: this data gets more reliable after roughly 40 to 50 published posts on that platform. Below that, treat it as a rough guide, not gospel.
- Audience / follower growth: watch the shape of the line more than the total. A steady upward line from consistent posting means something. A single spike after one viral post usually means very little, because most of those new followers never engage again.
The weekly 20-minute routine that turns data into decisions
I do this every Monday morning, before I schedule anything new for the week. It takes about 20 minutes and it is the only reason my content plan changes over time instead of staying static.
- Sort last week’s posts by engagement rate. Look at your top three and bottom three. Write down, in one line each, what format and topic they were.
- Check click-through rate on any post with a link. If it is under 1 percent, the caption or the hook needs work, not the link destination.
- Compare this week’s best posting time suggestion against last week’s. If it has shifted by more than an hour on the same platform, your audience behaviour is changing, often because of algorithm updates or seasonal shifts, and it is worth testing the new window.
- Pick one thing to change for next week. Not five things. One. Maybe it is dropping the Tuesday quote graphic that never performs. Maybe it is moving your link posts to comments. Small, specific, testable.
- Write the change down somewhere you will see it when you plan next week’s content, otherwise you will forget by Wednesday and repeat the same mistake.
What most people get wrong (and it is not a technical mistake)
The uncomfortable bit nobody likes admitting: the dashboard is not the problem, ego is. I have sat with founders who saw their comedy Reels format was outperforming their “expert tips” posts by four times the engagement rate, and still refused to post more of the comedy format because it felt beneath their professional image. The data was clear. The decision was emotional. That happens constantly, and it is the real reason most businesses do not improve their content month over month even when they are staring at good analytics every week.
If you want a longer breakdown of what the tool itself does well and where it falls short, I wrote a full Loomly review covering its analytics and team features that goes into the scheduling side too, which matters because a dashboard is only as good as the consistency of what feeds it.
Reading platform-level differences correctly
Loomly-style dashboards pull data from each platform’s own API, which means the numbers are only as good as what LinkedIn, Instagram, or Facebook choose to share. A few practical quirks worth knowing:
- LinkedIn engagement rates typically run lower in raw percentage terms (often 2 to 4 percent is good) than Instagram, where 5 to 8 percent on an engaged niche account is normal. Comparing the two platforms on the same scale in your dashboard will make LinkedIn look like it is underperforming when it usually is not.
- Facebook organic reach has been suppressed for years, so a “low” Facebook reach number in your dashboard is not a sign your content got worse, it is the platform limiting organic distribution the way it has since around 2018.
- Instagram Reels data can lag by 24 to 48 hours in third-party dashboards compared to the native app, so if a number looks off on a Monday morning check, wait a day before assuming a post failed.
What to do when the numbers say “nothing is working”
Sometimes you check the dashboard and everything is flat, no clear winners, no clear losers, just a grey wall of average numbers. That is a useful signal on its own: it usually means your content has become too similar week to week, so nothing stands out enough for the algorithm or the audience to react to either way. When I see three consecutive weeks of flat performance across the board, I stop tweaking small things and change the format entirely, not just the topic. A brand switching from static graphics to short talking-head video, or from long captions to short punchy ones, will usually break the flat pattern within two to three posts, because you are giving the audience (and the algorithm) something different to respond to.
This is also the point where I recommend business owners bring in outside eyes rather than staring at the same dashboard alone. If you are three months into a plateau, a short session with someone who does this for a living, like the work I do through AI consulting for small businesses, can spot the pattern faster than another month of guessing, especially now that AI tools inside platforms like Loomly can flag anomalies automatically if you know what to ask them.
Using AI features inside the dashboard without losing the plot
Newer versions of Loomly and its competitors now include AI-generated summaries and suggested optimisations sitting right above the raw data. These are helpful as a starting prompt, not as a final answer. I have seen AI summaries flag “engagement dropped this week” when the actual cause was a bank holiday reducing everyone’s audience activity, not a content problem at all. Read the AI note, then check the raw numbers underneath it before you change anything. The summary is a hint, not a verdict.
If your business is still deciding whether hiring someone to set up and interpret this is worth the spend, it is worth reading a straightforward breakdown of what AI consultants typically charge, because for a lot of small businesses, a few hours of setup guidance pays for itself the first month simply by stopping wasted posting time on formats the data already shows are not working.
Related reading: How much do you charge?.
Frequently asked questions
How often should I check my Loomly analytics dashboard?
Weekly is enough for most small businesses. Daily checking mostly produces noise and anxiety, since single-day fluctuations rarely mean anything, while monthly checking is too slow to catch a format that has quietly stopped working.
Which metric matters most if I only have time to check one?
Engagement rate on posts containing a link or call to action. Total reach and follower count feel important but rarely correlate with actual enquiries or sales, while click-through behaviour on your calls to action almost always does.
Why does Loomly show different numbers to the native Instagram or LinkedIn app?
Third-party dashboards pull data through each platform’s API, which can lag by a day or two and sometimes calculates reach or engagement slightly differently than the platform’s own app. Small discrepancies are normal; large ones are worth a manual double-check in the native app before you make a decision based on them.
What should I do if my analytics look flat for several weeks in a row?
Change the format, not just the topic. Flat numbers across the board usually mean your content has become too predictable for the audience or the algorithm to react to, and small tweaks rarely break that pattern as effectively as trying a different content type for two or three posts.
Primary sources
Related reading: How to keep track of your entire business with one smart dashboard and How Can You Tell If a Marketing Dashboard Tool Is Worth Paying For.
