A real answer, no guessing
The broker can see actual reach and engagement numbers for Instagram versus Facebook on the same listing, replacing 'it felt busier' with a genuine, checkable comparison.
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In build
The whole team
Nineteen specialists, each with a defined job and an honest status label.
See all nineteenThe business learns which posts, formats, and topics drive real engagement, so future content spend goes toward what works instead of guesswork.
Works with
What it does
Socie reports per-post and per-platform metrics — reach, likes, comments, shares, saves, and click-throughs where available — pulled from each platform's own reporting API. Owners can filter by date range, campaign tag, or platform to compare performance side by side.
A real estate broker posts a new listing on Instagram and Facebook on the same day and has a gut feeling Instagram did better — more likes, it felt busier — but a gut feeling isn't the same as knowing which platform or listing type actually drives enquiries worth acting on. Without real numbers side by side, next month's posting plan is built on the same guess as this month's was.
Performance analytics reports per-post and per-platform metrics — reach, likes, comments, shares, saves and click-throughs where a platform exposes them — pulled directly from each platform's own reporting API, filterable by date range, campaign tag or platform for a genuine comparison. What it cannot do is pretend every platform means the same thing by 'reach', or that a number captured the moment a post publishes is what it will settle on days later.
Socie runs this directly on the platforms your customers already use — no separate app for them to install.
How it works
A scheduled job retrieves reach, engagement and click-through figures directly from each connected platform's reporting endpoint, rather than estimating performance from something Socie observes without a real data source behind it, giving numbers a verified origin.
Because engagement on a post keeps accruing after it publishes, metrics are re-collected at intervals rather than captured once and treated as final, so a snapshot taken too early doesn't get mistaken for the whole eventual story here.
A broker can compare this month's listings against last month's, or Instagram against Facebook specifically, by filtering the same underlying data rather than manually cross-referencing separate exports from each connected platform involved in the comparison.
A summary view combines totals across platforms while keeping per-platform and per-post detail available underneath, so a combined number never hides which specific post or platform actually drove it in the first place, however small.
Why it matters
The broker can see actual reach and engagement numbers for Instagram versus Facebook on the same listing, replacing 'it felt busier' with a genuine, checkable comparison.
Filtering by campaign or date range surfaces which listing type or format tends to perform better over time, insight a single post's numbers alone could never reveal on its own.
A post's true performance becomes visible once its metrics have had time to accrue, rather than judging it unfairly off an incomplete number captured minutes after it went live.
The detail
Every platform defines 'reach' and 'engagement' differently, and this isn't a minor labelling inconsistency — it's a real measurement difference that makes a naive cross-platform total misleading if the source isn't clearly labelled. Instagram's reach, Facebook's reach and LinkedIn's engagement metric each count fundamentally different activity, and a dashboard that quietly sums them into one figure without a per-platform breakdown produces a number that sounds precise but doesn't mean anything coherent. Every aggregate needs its sources labelled, not hidden behind one tidy total.
Metrics settle over time rather than arriving complete the moment a post publishes. Likes, comments and shares continue accruing for hours or days afterward, which means a snapshot taken shortly after publishing systematically understates a post's true eventual performance. This is why metrics get re-pulled at intervals rather than captured once — a broker checking numbers ten minutes after posting is looking at an intentionally incomplete picture, not a final verdict.
API rate limits on analytics endpoints are a real, practical constraint for any account with high posting volume. Each platform caps how often its reporting API can be queried, and an account with many posts competing for a limited number of calls can see its data refresh less frequently than one with fewer posts. A busy agency running analytics across dozens of client posts a day should understand that not every post refreshes on the same cadence — the platform's own rate limit, not a design choice, sets that ceiling.
Industry use cases
13 industries where Socie applies this directly.
A car service center plans a week of posts showing before/after detailing work and a monsoon check-up reminder, schedules them all on Monday morning, and lets Socie publish each one at its recommended time through the week.
See the automotive playbookA B2B software reseller drafts three LinkedIn posts about a recent client rollout, routes them through an approval step to the sales director, and once approved they publish automatically on the days set in the calendar.
See the b2b sales playbookA regional NBFC's marketing associate drafts a post about a new loan product, and it sits in the approval queue until the compliance officer reviews the wording and either approves it or sends it back with a comment.
See the banking and finance playbookA cosmetics brand uploads a batch of new product photos to the media library, drags them onto the grid preview to arrange the order, then schedules the whole week's worth of posts in one sitting.
See the beauty and cosmetics playbookA coaching institute schedules a series of countdown posts leading up to an admission deadline, using AI-generated caption drafts that the academic head reviews before they go live.
See the education playbookA freelance graphic designer uses the AI content-idea generator to get five post concepts, turns two into drafts, and schedules them for the week so their profile stays active while they focus on client work.
See the freelancers and consultants playbookA physiotherapy clinic drafts a post about a new treatment offering, and the clinic owner reviews and approves the exact wording before it's allowed to schedule.
See the health and wellness playbookA furniture showroom uploads new collection photos, previews how they'll look next to already-published posts in the grid, reorders a few tiles, and schedules the finalized sequence.
See the home decor and furnishing playbookAn agency account manager creates draft posts for two different retail clients, sends each batch through that client's own approval workflow, and later exports a branded campaign report for each client separately.
See the marketing agencies playbookA real estate broker uploads photos of a new listing, generates a caption highlighting the property's key features, and schedules posts across Instagram and Facebook to go live over the coming days.
See the real estate playbookA restaurant manager schedules a week of daily-special posts on Sunday night, with AI-suggested captions and hashtags for each dish, and Socie publishes them automatically at lunch and dinner hours.
See the restaurants and food playbookA salon owner previews how a new set of styling photos will look in sequence on the grid, adjusts the order, and schedules the batch to post through the week alongside a recycled "book now" reminder post.
See the spas and salons playbookA travel agency schedules a series of destination-highlight posts ahead of a holiday season, using the content calendar to make sure posts are spaced out rather than bunched on one day.
See the travel and tourism playbookMore from Socie
The business can see everything planned across all social channels for the month at a glance, so gaps and clashes get caught before they become missed posting days.
Learn moreThe business writes a post once, customizes it per network, and it goes out automatically at the chosen time without anyone touching a phone.
Learn moreThe business gets a ready-to-post caption in seconds instead of staring at a blank composer box.
Learn moreThe business reaches more relevant people without manually researching which tags are trending in its niche.
Learn moreThe business never runs out of things to post, even during slow weeks with nothing obviously newsworthy to share.
Learn moreThe business gets a usable, on-brand social graphic without hiring a designer or opening editing software.
Learn moreQuestions
It's possible to sum them, but each platform defines reach differently under the hood, so a combined total without the per-platform breakdown clearly labelled underneath it can be genuinely misleading rather than simply convenient for a quick glance. Any aggregate shown should keep its sources visible, so a broker comparing platforms understands what's actually being measured on each side of the total.
Likes, comments and shares continue accruing well after a post goes live, so metrics are deliberately re-pulled at intervals rather than captured once and locked in immediately. A number checked ten minutes after publishing is an intentionally incomplete early read, not the final figure that post will eventually settle on once engagement has had time to properly build up over the following days.
Not necessarily — each platform's reporting API enforces its own rate limit on how often data can be queried, and an account with a high volume of posts competing for a limited number of calls can see slower refresh cycles than an account posting less frequently. This is a platform-imposed ceiling, not a setting that can simply be turned up for a busier account handling more volume.
Only where the connected platform's own reporting API actually exposes that data — click-through availability varies meaningfully by platform, and a network that doesn't report it at the API level simply won't show a number for that metric, regardless of how the dashboard is filtered or configured to try to display it for that particular platform and connected account overall.
The rest of your stack
No rip-and-replace — see what content actually works works alongside the systems already running your business.
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