Timing based on this account
A recommendation reflects when this specific travel agency's own followers have actually engaged in the past, rather than a generic rule of thumb that assumes every audience behaves the same way.
In developmentSocial Media Manager
Recommend optimal posting times
The business posts when its actual audience is online, instead of guessing a time and hoping for the best.
Works with
What it does
How Socie handles this
Socie analyzes each connected account's historical engagement by hour and day to recommend posting windows per platform, refreshed as more data accumulates. The owner can accept a suggested time with one click when scheduling a post or override it manually.
A travel agency's Instagram posts about a new Goa package go out at 11am every day because that's when the owner has a free moment between calls, not because anyone actually looks at travel content then. Nobody has checked whether the agency's own followers are online at that hour, or whether a 7pm post, when people scroll after work, might land differently.
Best-time recommendations analyse each connected account's own historical engagement by hour and day, suggesting posting windows per platform based on real audience behaviour rather than a generic rule copied from somewhere online. A suggested time can be accepted with one click while scheduling, or overridden manually for a real reason. A brand-new account with barely any history gets a wide berth here — a recommendation built on two weeks of data is a guess dressed as a suggestion, and should read that way, not as confident advice.
Where recommend optimal posting times happens
Socie runs this directly on the platforms your customers already use — no separate app for them to install.
- X
- YouTube
How it works
Step by step
- 01
Engagement tracked by hour and day
A nightly job records how each connected account's past posts performed broken down by the hour and day of the week they went out, building a real behavioural picture specific to that one account rather than a generic industry assumption or guess.
- 02
Recommendations update as data grows
Suggested posting windows refresh as more history builds up, so a recommendation made after three months of posting reflects considerably more real signal than one made in the account's very first week of real activity.
- 03
A suggestion appears while scheduling
When setting a post's publish time, a recommended window shows up based on that specific account's own engagement history, ready to accept with one click if it fits the plan for that particular posting day.
- 04
Manual override always stays available
A recommended time is a suggestion, not a rule — the owner can schedule for a different hour entirely if there's a genuine reason to, a festival timing or an event schedule the recommendation engine has no way of knowing about.
Why it matters
What you get out of it
One click, not guesswork
Accepting a suggested time while scheduling saves the mental effort of trying to remember or re-derive what time has worked reasonably well before for this particular account.
Confidence grows over time
A recommendation becomes more trustworthy the longer an account has been posting and accumulating real engagement data to base future suggestions on, rather than an early guess.
The detail
What to know before you rely on it
A recommendation is only as reliable as the data behind it, and a newly connected account, or one that's only posted a handful of times, doesn't have enough history to produce a confident suggestion yet. The feature needs a minimum-data threshold before presenting a recommendation as something to trust rather than a rough, provisional guess — showing a confident-looking time to an account with two weeks of posts is misleading, and a business should treat any early recommendation with scepticism until more history builds up.
A recommended time describes a pattern that held in the past; it is not, and should never be presented as, a guarantee of future engagement. Audience behaviour shifts — a travel agency's followers checking Instagram during a slow season might behave differently once festival travel planning picks up, and a recommendation engine only reflects what it's already seen, not what's about to change. Treating a suggested window as a locked formula rather than a starting point is where this capability gets misused.
What counts as 'engagement' also varies by what a given platform's insights API actually reports, and that data arrives with its own settling time — early likes and comments continue accruing for hours or days after a post publishes, so a snapshot taken too soon can understate how it actually performed once numbers settle. The nightly aggregation job needs to account for this lag rather than treating the first read as final, or recommendations built on top will work from numbers that haven't finished arriving.
Industry use cases
Where this earns its keep
10 industries where Socie applies this directly.
Socie schedules service reminders, new-arrival showcases, and festive offer posts across the dealership's or garage's social channels from one calendar.
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 playbookSocie plans the visual look of a salon or cosmetics brand's Instagram grid in advance so posts feel cohesive rather than random.
A 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 playbookSocie lets a solo freelancer batch-create a week of content in one sitting using AI drafts, instead of writing and posting one thing at a time every day.
A 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 playbookSocie routes wellness and clinic content through an approval step before publishing so no medical-sounding claim goes out without review.
A 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 playbookSocie curates a visually consistent grid of room transformations and product shots so a home décor business's feed looks like a cohesive catalog.
A 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 playbookSocie gives an agency one shared workspace to plan, approve, and report on content for several client accounts without mixing them up.
An 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 playbookSocie schedules new-listing announcements and open-house reminders at the right times across a broker's social channels.
A 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 playbookSocie keeps a restaurant's daily specials, festive menus, and reels flowing on a calendar so the kitchen team doesn't have to remember to post.
A 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 playbookSocie schedules appointment-slot promotions and service showcases while keeping the visual feed on-brand for a spa or salon.
A 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 playbookSocie schedules destination highlights and seasonal package promotions in advance of a travel agency's busy booking periods.
A 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
Everything else it handles
Plan every post on one calendar
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 moreSchedule posts across every channel
The business writes a post once, customizes it per network, and it goes out automatically at the chosen time without anyone touching a phone.
Learn moreGenerate on-brand captions instantly
The business gets a ready-to-post caption in seconds instead of staring at a blank composer box.
Learn moreSuggest hashtags that fit each post
The business reaches more relevant people without manually researching which tags are trending in its niche.
Learn moreGet fresh post ideas on demand
The business never runs out of things to post, even during slow weeks with nothing obviously newsworthy to share.
Learn moreGenerate post graphics from a prompt
The business gets a usable, on-brand social graphic without hiring a designer or opening editing software.
Learn moreQuestions
Straight answers.
How much posting history do we need before a recommendation is actually trustworthy?
There's a minimum-data threshold the feature applies before presenting a suggestion with real confidence — an account with only a handful of posts gets treated cautiously rather than shown a confident-sounding recommendation built on too little history to mean much. A newly connected account should expect early suggestions to carry a caveat, or simply wait a few weeks of regular posting before leaning on them heavily.
Does a recommended time guarantee our next post will perform well?
No — it reflects a pattern in past engagement for that specific account, not a promise about any individual future post. Audience behaviour genuinely shifts over time, particularly around seasonal changes like festival travel planning for a travel agency, and a recommendation engine only ever knows what it's already observed, not what's about to change next for that particular audience.
Can we ignore the suggestion and pick our own time instead?
Yes, always — a recommended window is a suggestion offered while scheduling, and manual override is available at any point for a genuine reason the recommendation engine has no way of knowing about, like a specific festival timing or a live event the post needs to align with exactly, regardless of what the engagement history for that account happens to suggest that week.
Why does engagement on a fresh post sometimes look low right after it's posted, then climb later?
Engagement numbers settle over time rather than arriving complete the instant a post goes live — likes and comments keep accruing for hours or even days afterwards, depending on the platform and the audience. The aggregation behind these recommendations accounts for that settling period rather than judging a post's performance from an immediate, still-incomplete first read of its numbers taken too soon after publishing.
The rest of your stack
It plugs into what you already run.
Socie connects to your tools
No rip-and-replace — recommend optimal posting times works alongside the systems already running your business.
- Threads
- TikTok
- Snapchat
- Canva
- Meta
- Google Analytics
- Google Drive
- Notion
- Zapier
- Figma
Coming soon