Restaurant revenue calculator

See what Slad can add to your restaurant, from new visits to higher checks and recurring memberships. Adjust the inputs to match your venue.

Your Atlanta market, by the numbers: revenue lift, not guesswork

Estimate the lift from Slad's full stack (food videos to every channel, your Google and AI-search presence, the @searchslad food channel, table ordering, memberships, and Reputation Shield) based on guest sharing, getting found in Google and AI answers, higher checks, recurring memberships, and reputation recovery, then see your return against Slad's $1,199 a month.

Defaults are directional. Real numbers calibrate against your POS after a 2 to 4 week pilot. See sources.

Extra revenue from Slad / month (directional)

+$0 /mo

Range

L: +$0 B: +$0 H: +$0

Your Inputs

Set your two numbers below (diners a day and average spend). Everything else is on a sensible Slad default. Open a box only if you want to adjust it.

Start here: your venue

Diners per day Total guests served per day (all parties). 200

202,000

Avg spend per person ($) Average check per guest (not per table). $25

$10$150

Guest sharing

Early adoption participation % of guests who post & submit at Month 0. “Months using Slad” projects this upward over time. 3.0%

0.2%8%

Avg party size Affects within-table “copy behavior” (friends posting too). 2.8

1.56.0

Months using Slad Start at 0 for what you would see right after launch. Slide up to project how the numbers grow as the guest-sharing habit spreads over the months. 0 mo

0 (today)24

Table ordering

Guests who order through Slad Share of diners who order from the table through Slad (needs your point-of-sale connected). Set to 0 if you do not use table ordering. 30%

0%80%

Avg check uplift from ordering How much bigger the average check gets when guests order from their phone (easy reorders, drinks, desserts, no waiting on staff). Directional; calibrate against your POS. 12%

0%30%

Memberships and clubs

Guests on a paid membership Share of your monthly diners who carry a paid membership or club (like a coffee club). Recurring revenue. Set to 0 if you do not offer one. 2.0%

0%20%

Membership price / month What each member pays per month. Gross membership revenue; net depends on the perks you include. $20

$5$100

Found on Google and AI search

New diners a month from being found Extra new diners a month who find you because Slad keeps your Google profile fresh and features your food on @searchslad and the getslad eats guide, so you show up in Google and when people ask ChatGPT, Claude, Gemini, or Perplexity where to eat. Separate from guests who share. Set to 0 to leave it out. 25

0300

Reputation lift

Star-rating lift over the year As Slad steers happy guests to public reviews and routes unhappy ones to private feedback, your public star rating tends to climb. A Harvard Business School study (Luca) found a +1 star is associated with roughly 5 to 9% higher revenue for independent restaurants; this model uses the conservative 5%. The most directional input. Set to 0 to leave it out. +0.15 stars

0+0.5 stars

What Slad replaces

You spend now on marketing, tools, and loyalty / month What you pay today for the things Slad rolls into one: a marketing agency or social-posting tool, a content or video app, a loyalty or membership platform, review tools. Counted as savings in the bottom line, separate from revenue. Set it to what you actually spend. $500

$0$5,000

Tune the model (optional) Guest + Owned + Maps

Story Wall enabled

On-screen shoutouts can boost participation.

Crowd type (typical followers)

Guest story reach (R) % of a guest’s followers who see their Story. 8.0%

Guest action (A) % of viewers who take an action (tap profile, open Maps, click, DM). 1.00%

Guest intent (I) % of actions that indicate real intent (save, directions, call). 32%

Guest 30-day conversion (C) % of intent that becomes a visit within ~30 days. 38%

Social multiplier (extra posts) Extra posts created inside a party when friends copy/join the post. 0.70 extra

Repeat visit multiplier (LTV) Captures repeat visits / lifetime value. 1.25× means +25% value beyond the first visit. 1.25x

Owned media amplification

Restaurant followers Followers of the restaurant’s own account (used for Story/feed reach). 6,000

% of posts you repost to Story Portion of guest posts the restaurant reposts to its Story. 30%

Brand Story reach % of restaurant followers reached by a Story. 4.5%

Brand Story action % of Story viewers who take an action (profile, directions, click). 0.55%

Brand Story intent % of actions that indicate intent to visit (save, directions, call). 22%

Brand Story conversion % of intent that becomes a visit within ~30 days. 28%

Brand feed / reels repost

% of posts turned into a feed post Portion of guest posts repurposed into a brand feed post/Reel. 12%

Feed reach (% of followers) % of restaurant followers reached by a typical feed post/Reel. 12.0%

Feed action % of feed viewers who take an action (profile, directions, click). 0.35%

Feed intent % of actions that indicate intent to visit. 18%

Feed conversion (30-day) % of intent that becomes a visit within ~30 days from feed exposure. 22%

Local discovery (Maps/search)

Captures visits from Google Maps / “near me” discovery that follower math doesn’t cover.

Extra visits per 100 verified posts Extra visits driven by Maps/search lift per 100 verified guest posts. 1.0

In-venue multiplier

Visits multiplier Boost from in-venue effects (people see it inside, come back, bring friends). 1.20x

Compounding settings

Participation ceiling (pMax) Maximum participation the habit can reach at your venue (upper bound). 14.0%

Habit half-life (months) Controls how fast participation ramps up. Smaller = faster adoption. 1.8 mo

Directional model: pilot tightens pMax + ramp speed fast.

Your Estimated Revenue + Reputation Impact

Low / Base / High reflect adoption uncertainty during early rollout.

Directional

Estimated extra revenue from Slad per month (directional)

+$0 /mo

Low: +$0 Base: +$0 High: +$0

This estimates revenue lift, now including a conservative reputation line for the rating climb from steering happy guests public and routing unhappy ones to private feedback. It is the most directional input, so set it to 0 to leave it out. The bottom line below also nets your gain against Slad's $1,199 a month.

Show breakdown (per day / per year)

Extra revenue / day

+$0

Extra revenue / year

+$0

Of that, table ordering (higher checks)

+$0 / mo (+$0 / yr)

Diners × spend × ordering adoption × check uplift. Stable revenue from guests already in the door, separate from the new visits above.

Of that, memberships and clubs (recurring)

+$0 / mo (+$0 / yr)

Diners × membership adoption × monthly price. Recurring fee revenue from your regulars; gross of any perks you include.

Of that, found on Google and AI search (new diners)

+$0 / mo (+$0 / yr)

New diners a month × spend, with repeat value. From Slad keeping your Google profile fresh and featuring you on @searchslad and the eats guide, so you show up in Google and AI answers. Separate from guests who share.

Of that, reputation (rating lift)

+$0 / mo (+$0 / yr)

Baseline revenue × your star-rating lift × 5% per star (the conservative end of the +1 star = 5 to 9% revenue finding cited below). The most directional line; set rating lift to 0 to exclude it.

This is estimated additional revenue, not the cost of Slad.

Baseline / mo

Diners × spend × 30

With Slad / mo

Baseline + lift

Lift

+0.00%

% vs baseline

Your bottom line vs Slad at $1,199 / mo

Directional

Net gain / mo

+$0

Extra revenue + savings, minus $1,199

Return on cost

Monthly value for every $1 in Slad

Pays for itself in

n/a

Of a typical month

Net gain = estimated extra revenue + the $0 / mo you stop paying for tools Slad replaces, minus Slad's $1,199 / mo. Return = total monthly value divided by Slad's cost. Directional; tighten it with a short pilot.

Posts / month

Verified submissions

Views / month

Guest + brand + feed

New visits / month

Shares, search, AI, maps

Bad reviews intercepted

Private recovery opportunities / month

Boosting equivalent (ad spend)

Optional: what it could cost to buy similar reach

▾

Choose platform

Low: $0 Base: $0 High: $0

CPM used: ...

Directional estimate. Actual costs vary by geo, targeting, seasonality, and creative quality.

How this is calculated (full model) ▾

Uses your inputs + defaults (R/A/I/C, Story Wall, Social multiplier, Repeat/LTV, and month-based participation ramp).

1) Effective participation (month-based ramp)

We start from your Month 0 participation (p0) and ramp it toward a ceiling (pMax) using a half-life model:

p(t) = pMax - (pMax - p0) × exp(-ln(2) × t / halfLife)

The calculator uses p(t) at your selected “Months using Slad”.

2) Posts / month (verified submissions)

First, base posts:

dinersMonth = dinersPerDay × 30 basePosts = dinersMonth × participation

Then we apply within-table “infection” and Story Wall:

infectionMult = 1 + (partySize - 1) × socialMultiplier wallMult = storyWallEnabled ? 1.15 : 1.00 posts = basePosts × infectionMult × wallMult

3) Views / month (story reach estimate)

We estimate story views from average followers × story reach rate:

viewsPerPost = avgFollowers × R views = posts × viewsPerPost

R is the “Story reach rate” slider (default 6.5%).

4) New visits / month (UGC funnel)

Views turn into actions, then intent, then visits:

actions = views × A intent = actions × I visits = intent × C

A = action rate, I = intent rate, C = 30-day conversion.

5) Revenue impact (baseline, extra, with Slad, lift%)

Baseline monthly revenue is just diners × avg spend × 30:

baselineRevenue = dinersPerDay × avgSpend × 30

Incremental revenue comes from new visits × avg spend, then we apply repeat/LTV:

incrementalRevenueRaw = visits × avgSpend incrementalRevenue = incrementalRevenueRaw × repeatMultiplier

Finally:

incrementalRevenue = visitRevenue + discoveryRevenue + reputationRevenue + tableOrderRevenue + membershipRevenue discoveryRevenue = newDinersFound × spend × repeatMultiplier reputationRevenue = baselineRevenue × ratingLiftStars × 5% tableOrderRevenue = diners × 30 × orderAdoption × spend × checkUplift membershipRevenue = diners × 30 × membershipAdoption × membershipPrice withSladRevenue = baselineRevenue + incrementalRevenue liftPct = (incrementalRevenue / baselineRevenue) × 100

The bottom line then nets revenue plus savings against Slad's price:

monthlyValue = incrementalRevenue + savings netGain = monthlyValue - 1199 (Slad is $1,199 / mo) returnOnCost = monthlyValue / 1199 payback = 1199 / (monthlyValue / 30)

Found on Google and AI search models new diners who find you because Slad keeps your Google profile fresh and features your food on @searchslad and the eats guide, separate from the guest-sharing funnel. Reputation prices a conservative public star-rating climb using the HBS/Luca elasticity cited below (5%, the low end of 5 to 9% per star). Savings is what you stop paying for the tools Slad replaces, kept out of the revenue number. Table ordering models higher checks on guests already in the door; memberships model recurring fees from regulars. Each line is counted separately, so nothing double-counts. Defaults are conservative and directional; calibrate them against your POS after a short pilot.

The “Extra revenue” number shown is additional revenue (not Slad’s price). Breakdown: per day = incrementalRevenue/30, per year = incrementalRevenue×12.

Directional estimate. You’ll get a tight number after a short pilot with tracking.

Sources & notes (why these defaults are reasonable)

Story reach rate (R): Based on Rival IQ’s Instagram Stories benchmark medians (reach as a % of followers). View report →

Restaurant social-proof sensitivity: Michael Luca (HBS) estimates a +1 Yelp star is associated with roughly 5 to 9% higher revenue for independent restaurants. Read paper →

In-venue assumption: The model assumes posts are created by real guests during or shortly after an actual visit, not by remote accounts. Slad stickers and verification rules are designed to bias strongly toward in-venue activity.

Note: Defaults are directional planning values. Best tightened via pilot measurements.

For the full evidence behind every line, with sources, see the research behind Slad.

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We'll calibrate these numbers to your real POS data on the call.