Bay St. Louis Shoulder Season: June, October, May, January Hole

Jacob Mishalanie
16 hours ago
10 min read

Updated: 8 hours ago

Raised gulf cottage lodging exterior, Bay St. Louis

Most Bay St. Louis listings get marketed as a generic Gulf Coast stay, a pitch that could describe a dozen other towns along the Mississippi Sound. That framing wastes what actually distinguishes this specific driveway: guests who typed Bay St. Louis are searching for Old Town, the harbor, beachfront, or the marina, not a blended coastal average and not a neighboring town's calendar. About 340 active listings sit in this sample, a real but modest sample worth reading carefully.

Typical listings here earned about $25,594 last year from those 340 active rentals, per AirROI's trailing twelve months through July 2026, at $279 average night and 31.5 percent occupancy. Year over year is down 4.5 percent while active supply held essentially flat. Vermilion published $29,012 on 78 listings and Crystal Beach published $44,416 on 131 listings — both real, separately sourced towns, and neither belongs blended into Bay St. Louis's own calendar or its own year.

The three strongest months are June, October, and May, with June the busiest and January the slowest. Guests book about 3.8 nights on average, roughly 60 days ahead. This page is about pricing and marketing the actual shape of that calendar, not guessing a winter hook the data doesn't support. This is not legal advice.

June Is the Busiest Month

June leads Bay St. Louis's calendar, and that peak deserves pricing that reflects real, demonstrated demand rather than a guess. A host who prices June the same as a shoulder month is leaving revenue on the table during the one stretch of the year the extract shows guests are booking most heavily.

What June demand doesn't do is tell you anything about January. Treating a strong June as evidence the whole year runs hot is exactly the kind of leap that produces an overpriced October and an underpriced January — the calendar needs to be read month by month, not extrapolated from its best month outward.

A host with real June performance history — actual booked nights, actual rate achieved — has more useful pricing information than this sample alone provides. Layer that history on top of the aggregate figures here rather than replacing one with the other.

October and May Are the Other Strong Months

October and May round out Bay St. Louis's three-month peak, and both deserve deliberate pricing attention rather than getting treated as ordinary shoulder months by default. A calendar built around a single summer peak misses two more months of demonstrated demand this sample actually shows.

These two months likely draw a different guest profile than peak summer — cooler weather, a quieter Old Town, a different kind of Gulf Coast trip. Listing copy that leans into what October and May specifically offer, rather than reusing generic summer-beach language, is more likely to convert a guest actually searching for a shoulder-season visit.

A host who only optimizes pricing and photography around June misses real, demonstrated demand in these two adjacent months — treating all three peak months with equal pricing attention captures more of what the calendar is actually showing.

January Is the Slowest Month in Bay St. Louis

January is the hole in Bay St. Louis's calendar, and the honest response to a slow month is honest pricing, not an guessed promotional hook dressed up as a seasonal attraction that doesn't actually exist. A host who tries to manufacture demand with a fabricated 'winter festival' angle risks a listing description that reads as dishonest to a guest who researches further.

A slow month is still an opportunity for the kind of longer, working-oriented stay covered on this market's remote-worker page — a guest looking for a quiet few days away from a colder home climate, without expecting Bay St. Louis to suddenly become a bustling festival destination in January.

Realistic pricing during the hole protects a listing's overall review pattern better than aggressive discounting chasing volume at any cost. A host who prices January honestly for what the month actually is tends to attract a guest whose expectations match reality, which is the guest least likely to leave a mismatched review.

Do Not Steal Crystal Beach as This Peak

Crystal Beach published $44,416 across 131 listings, a real and separately sourced figure that belongs to a different town's calendar entirely. Borrowing Crystal Beach's peak-season photos or performance figures to describe a Bay St. Louis listing's June is exactly the kind of mismatch that produces guest confusion at arrival.

The two towns share a region, not a calendar and not a tile. A guest who books based on Crystal Beach-inspired copy attached to a Bay St. Louis address is going to notice the difference the moment they arrive, and that gap between promise and reality is precisely the kind of thing that shows up in a review.

Keep Bay St. Louis's own June-October-May pattern, sourced from its own 340-listing extract, as the only seasonal data this listing's pricing and marketing should reference. A neighbor town's stronger year doesn't transfer just because the two towns sit along the same stretch of coast.

Do not guess a Weekly or Monthly Percent Cut

It's tempting to translate a strong June into a specific weekly discount percentage for a slower month, but that kind of precise-sounding number, if it isn't actually sourced from this market's own booking data, is a guess dressed up as a fact. this sample doesn't calculate a weekly discount curve, so this page won't guess one.

A host setting shoulder-season and off-season pricing should work from their own listing's actual booking history where it exists, layered on top of the seasonal pattern this sample does show — June, October, and May strong, January weak — rather than importing a discount percentage from a different market or a different property type entirely.

The honest discipline here is the same one that applies to town blending: cite what the data actually supports, and be plain about what it doesn't calculate. A listing that prices January at a guessed 40 percent discount because that number sounded reasonable is no more defensible than one that borrows Crystal Beach's June.

Old Town Week Is Demand, Not the Trailing Twelve-Month Figure

A strong week tied to a specific Old Town event or a busy weekend is real, observable demand — but it's a data point about that specific week, not a stand-in for the trailing twelve-month figure of $25,594 across 340 listings. Confusing a single strong week with the annual average produces a pricing strategy built on the wrong baseline.

Old Town's walkability and character are genuine draws worth photographing and naming specifically in a listing description, separate from the pricing conversation entirely. A great Old Town photo helps a guest choose Bay St. Louis over a less distinctive Gulf Coast town; it doesn't change what the annual revenue figure actually is.

Keep these two things — demand-driving marketing content and the actual annual revenue figure — on separate lines in any conversation about the listing's performance, whether that conversation is internal pricing strategy or an external buyer packet.

A Lead Time of About 60 Days Is Not a Filled Hole

Guests book Bay St. Louis roughly 60 days ahead on average, a meaningful lead time that gives a host real room to adjust pricing dynamically as a specific month's booking pace becomes clear. But a healthy average lead time across the whole year doesn't mean January itself is quietly filling up early — the lead time figure describes booking behavior broadly, not month-specific demand.

A host watching January's calendar sit emptier than June's shouldn't read the 60-day average lead time as reassurance that bookings will eventually materialize. The slow month is genuinely slower in the underlying occupancy figure, and pricing strategy should respond to that reality rather than to a general lead-time statistic that applies across the whole year.

The more useful use of that 60-day window during the hole is proactive, honest marketing — reaching a guest early enough to consider a quiet January stay for what it actually is, rather than waiting passively for bookings that the seasonal pattern suggests are less likely to arrive on their own.

What a Seasonal Pricing Calendar Actually Looks Like Here

A defensible Bay St. Louis pricing calendar treats June as the top pricing tier, October and May as a second strong tier just below it, and January as the honest floor — with the months in between set somewhere along that gradient based on a host's own booking pace rather than an evenly spaced default curve applied without reference to the actual data.

This shape is worth revisiting at least once a season rather than set once and left alone, since a host's own booking pace inside each month is a more current signal than the trailing twelve-month average alone. If June is booking faster than expected at the current price, that's real information worth acting on mid-season, not just at the next annual pricing review.

The goal isn't a perfectly optimized rate for every single night of the year — that level of precision isn't supported by a 340-listing extract in the first place. The goal is a pricing calendar that roughly tracks the real shape of demand this data shows, rather than a flat rate that ignores June's strength or an inflated January rate that assumes demand that isn't there.

What a Buyer or Lender Packet Should Carry About the Calendar

A packet describing this market's seasonality should state the June-October-May peak and January hole plainly, sourced to the 340-listing extract, rather than smoothing the year into a single average that hides how concentrated demand actually is. A buyer evaluating cash flow timing needs the shape of the year, not just its total.

It should also note the modest sample size honestly. A 340-listing market shows real seasonal signal, but month-to-month figures carry more natural variance than they would in a market ten times the size, and a packet that presents this data with false precision misrepresents how confidently any single month's figure should be trusted.

Finally, it should keep Vermilion's and Crystal Beach's separate figures and seasonal patterns entirely out of any Bay St. Louis-specific seasonality claim, labeling them clearly if they appear anywhere nearby in the same document, so a reader never mistakes one town's calendar for another's.

Photographing the Peak and the Hole Differently

June, October, and May photography should lean into what actually draws guests during those months — Old Town's walkable stretch, the harbor at its most active, whatever specific seasonal character each month genuinely carries. Photos shot to sell the peak should look like the peak, not a generic year-round stock shot that could belong to any month.

January photography serves a different guest entirely, and honest copy for the hole month shouldn't pretend it's still peak season. A quiet, cozy interior shot, a workspace photo for a guest considering a working stay, or a genuine note about the calmer pace of an off-season visit all serve the guest actually searching for a January stay better than recycled summer beach photography would.

This split matters because a guest who books January expecting the June experience — based on photos that don't distinguish between the two — is the guest most likely to leave a review noting the mismatch. Setting expectations accurately by season protects the listing's overall review pattern more effectively than any single tactic applied uniformly across all twelve months.

Frequently Asked Questions

Which months are strongest in Bay St. Louis?

The three strongest months are June, October, and May, with June the busiest. January is the slowest month, against a full-year occupancy of 31.5 percent on a typical revenue of $25,594 from 340 listings. Treat the sample size as modest when weighing month-to-month swings.

What is a typical Bay St. Louis STR year in this sample?

AirROI lists a typical Bay St. Louis year at about $25,594 across 340 listings for August 2025 through July 2026, at $279 average night and 31.5 percent occupancy. Year over year is down 4.5 percent while supply held flat. Keep this separate from Vermilion's $29,012 or Crystal Beach's $44,416 figures.

Can I use Crystal Beach's calendar to price a Bay St. Louis listing's peak?

No. Crystal Beach published $44,416 from 131 listings, a distinct market with its own calendar. Bay St. Louis's own June-October-May peak pattern comes from its 340-listing extract — borrowing a neighbor's seasonal shape produces pricing and marketing built on the wrong data.

How should I price January, the slowest month?

Price it honestly against the actual occupancy pattern rather than guessing a promotional hook or festival angle that doesn't exist. A slow month still suits a quieter working stay or an off-season leisure guest whose expectations match what the month actually offers.

Where do guests come from, and how far ahead do they book?

New Orleans is the top origin market, followed by Baton Rouge. Typical stay runs 3.8 nights, booked about 60 days ahead. That lead-time average describes booking behavior across the year broadly, not a signal that a specific slow month is quietly filling up early.

Is there a standard discount percentage for shoulder or off-season months?

this sample doesn't calculate a specific discount curve, so no precise percentage is sourced here. A host should build off-season pricing from their own listing's actual booking history layered on top of the seasonal pattern this data does show, rather than importing a guessed percentage.

Does a low-regulation label mean there is no local permit?

No — a 'low regulation' label from a data platform is a scrape, not a legal reading. Bay St. Louis requires a city short-term rental permit, published at a $100 form fee; call Planning at 228-466-5516 to confirm the current live fee before advertising. This is not legal advice.

Does sales tax still apply on stays under 30 days?

Yes. Mississippi sales tax can still apply to short-term bookings under 30 nights in Bay St. Louis, separately from the $100 short-term rental permit. Confirm current tax treatment along with the permit at Planning, 228-466-5516, before advertising a stay.

Should a strong Old Town event week be treated as the annual revenue figure?

No. A strong week tied to a specific event is real demand for that week, but it's a different number than the $25,594 trailing twelve-month figure across 340 listings. Keep event-driven marketing content and the annual revenue baseline on separate lines.

Is a 30-night minimum the same as occupancy?

No. About 98 listings, roughly 28.8 percent of active listing stock, carry a 30-night minimum, but that's a booking-platform filter, not a measure of how full the calendar runs. Typical stay length is still 3.8 nights in this sample.

What should a buyer packet carry about Bay St. Louis seasonality?

Cite the June-October-May strong season with January as the slow month, alongside $25,594 from 340 listings, 31.5 percent full-year occupancy, and a 3.8-night average stay booked about 60 days ahead. Label Vermilion's $29,012 and Crystal Beach's $44,416 separately rather than folding either into Bay St. Louis's seasonal pattern.

Is Vermilion's calendar the same as Bay St. Louis's?

No. Vermilion published $29,012 from 78 listings on its own extract, a different town with its own seasonal shape. Cite Bay St. Louis's own June-October-May pattern and its $25,594 revenue figure on their own line rather than assuming both towns run the same calendar.

Work with Crest & Cove Creative

June, October, and May carry Bay St. Louis's calendar; January is the honest hole — price the year the extract actually shows, not one borrowed from a neighbor.

Send us last January's calendar if it's still wearing a leftover Crystal Beach peak or a guessed discount — we will price the shoulder season Bay St. Louis's own extract actually supports. Send the live listing draft and the facts you can actually cite.

Reach out at crestcove.co or (256) 998-7502.