When's the best time to post? Get an answer no single portfolio can produce.
No one operator has enough accounts for a trustworthy posting curve. Lineups and Rice D2K are combining read-only Instagram history across residential communities to build one. Contribute yours — get the shared findings, and first access when the model lands in Lineups.
Shared study results at semester's end
When the model lands inside Lineups
A curve your own data cannot produce
Content Planner already answers what to post. This is how it learns when.
Lineups Content Planner helps property teams decide what to post and put it on a calendar. The missing piece is evidence for timing. One company's accounts only cover so many markets and community types — a trustworthy posting curve needs a bigger sample than any single portfolio has. That's why this is a multi-contributor Rice D2K study, not a Lineups-only dataset. Contributors see the model first when it lands in Lineups.
See Content PlannerWhat you walk away with
The shared results, at no cost
Contributors get the aggregate study findings at the end of the semester — posting-time patterns from the combined dataset, not a sales deck.
When the model lands in Lineups
Contributors are first in line when the posting-time model ships inside Lineups. You do not need to be a customer today.
A curve your own accounts cannot produce
No one portfolio has enough accounts for a trustworthy posting curve. Every additional market and community type is what makes the answer usable.
Good content, published at times nobody ever tested
Property teams post consistently. Timing usually comes down to convenience, or a blog post about social media in general — not evidence for a specific community, market, or the residents it's trying to reach.
A model that learns what actually varies between accounts
A Rice D2K student team is spending the semester building a model that recommends the best day and time for a given community — from the signals that differ account to account, not one industry-wide rule of thumb.
Follower count
Audience size shifts when people are online.
Location
Market and time zone change the whole curve.
Topic & format
A tour reel and a resident event don't behave alike.
Caption
Language and length carry signal too.
Read-only access. No exports, no spreadsheets, no work for your team.
You grant read access to your community Instagram accounts and we pull the historical data ourselves. Read access means we can see — and never post, change, or delete anything.
Data is anonymized or aggregated before it reaches the student team, and access can be revoked at any time. Governed by Rice University's standard sponsored research agreement and NDA — never resold, never used for advertising, never shared outside the research team. If your policy rules out granting access, we'll gladly take an export instead.
Post dates and times
When each post went live, historically.
Captions
Language and length are part of the model.
Engagement metrics
Likes, comments, and reach per post.
Contribute your accounts. Get the answer.
We'll follow up with the Rice NDA and the steps to grant Instagram read access. Nothing to export on your end.
Questions contributors ask first
No. Contributing data is free, and there is no fee at any point in the project.
Suggest the next D2K capstone
Best Time to Post is one project. If you have another multifamily problem worth a semester of Rice data science, submit it on the partnership page.