January through August 2026
YTD 2026
The year to date through August, updated as each month’s actuals close.
01 · The size of the program
$29.75M in sales · $362,581 in media · 1.22%
- System net sales $29,754,015 January through August; up 7.8% year over year, same-store -0.9% on the 40-store set
- Growth is the new stores: East Cobb, Canton, Brookhaven, Dunwoody, the Naples pair, South Buckhead ramping
- Winter soft (January -2.1% same-store), Q2 the record at $12.11M, July the outbreak month at -8.4%, August -6.6%
- Media is about a penny of every revenue dollar, roughly $45,000 a month; at this scale it moves results store by store, not the whole sales line
Month by month
| Month | System net sales | Same-store vs LY | Ad fund media | Store-funded media | Media total |
|---|---|---|---|---|---|
| January 2026 | $3,031,311 | -2.1% | $29,369 | $12,735 | $42,104 |
| February 2026 | $3,076,552 | +5.0% | $30,501 | $12,672 | $43,173 |
| March 2026 | $3,751,360 | +2.0% | $31,038 | $12,954 | $43,992 |
| April 2026 | $3,931,992 | +3.0% | $30,477 | $12,561 | $43,038 |
| May 2026 | $4,089,406 | +1.4% | $31,502 | $23,450 | $54,952 |
| June 2026 | $4,089,696 | -2.6% | $31,659 | $10,989 | $42,648 |
| July 2026 | $3,903,915 | -8.4% | $31,796 | $11,650 | $43,446 |
| August 2026 | $3,879,783 | -6.6% | $33,174 | $16,054 | $49,228 |
| TOTAL · JAN TO AUG | $29,754,015 | $249,516 | $113,065 | $362,581 |
Same-store uses the 40 stores open every month since June 2023, so every month compares identical stores. Each close restates all months from the newest POS export; the September export moved July from -9.0% to -8.4%. Media is media dollars only, split per program rules: the system campaign and the $500 Google base are ad fund, store spend above the base (past the $600 qualifying line) is store-funded. Sales figures come from POS; August uses the September export, and small export-to-export restatements can move earlier months by fractions of a percent.
The full July analysis, with store-level detail, is available here.
02 · What the platforms showed
META YTD · PURCHASE PROGRAM
$28.92 per $1
216,235 purchases × $18.00 POS-derived order on $134,585 · standard window (7-day click, 1-day view)
META · AUGUST YEAR OVER YEAR
29.72x vs 12.86x
Efficiency doubled vs last August on the same basis, model, and window
GOOGLE YTD · TRACKED ONLINE ORDERING
$7.33 per $1
$1.58M platform-tracked online ordering revenue on $215,979 · 30-day click
META MONTHLY ARC · JUNE PEAK
33.81x
23.34x in January, near 29.7x through the summer shock · monthly record on the Meta tab
BY FUNDING LAYER · AD FUND / FRANCHISE
42.74x / 21.89x
The split the Structure tab carries; the ad fund is the system-wide buy
GOOGLE · APRIL TO AUGUST
9.01x to 5.96x
Order values flat, cost per conversion rising: a demand read rather than a tracking change
Attributed revenue is what media touched, not proof of increment; the dark-store record below is the incremental evidence this year produced.
Queued: the order model moves from $18.00 to the POS-read $17.29 at the September close, and the Meta headline reads near 27.8x, a pricing change rather than a performance change.
03 · What the strategy delivered, and when
+10.9% at the 2025 peak · four quarters in a narrow band since
- Launched June 2024 into a declining base, built to convert the people most likely to buy
- Same-store sales +10.9% year over year by summer 2025: the step up
- Strategy, budget, and target unchanged since; 2026 comps against the growth the program already delivered
- A strategy built to convert existing demand delivers its step up once
Same-store net sales growth, year over year by quarter, on the 40 stores open every month since June 2023, so every bar compares identical stores. Q2 2026 is the latest complete quarter; July and August sit in the table above.
04 · What we know about incremental effect
The same sequence has run on three independent store groups this year, each read against its own Q2 baseline. Restart, and it runs in reverse.
INVESTING ALL ALONG · 14 STORES
+39.7%
Aug page traffic vs own Q2 monthly avg (median); +3.8% in July · Aug sales 4.3 pts below Q2 trend
BASE PROGRAM · 16 STORES
-3.9 pts
Aug sales vs Q2 trend, closest to normal · traffic near their average both months
RESTARTED MID-AUG · 5 STORES
+32.6%
Traffic after restarting (-27.6% while dark in July) · sales worst at -7.1 pts: the lag arriving, recovery starting traffic-first
DARK SINCE MAY · 3 STORES
-37% to -54%
Traffic vs own Q2 avg, July to August · sales still near base levels: their bill has not arrived
DARK SINCE DECEMBER · 12 STORES
-14.3 pts
July sales damage vs -7.7 to -9.6 for every other group · traffic -26% vs -8% site-wide · Aug -15.6 and still falling
THE READ
Evidence, not proof
No holdout has been run; this is the program’s own record · the December decline predates the outbreak, so more than media may be at work there
Restarted: Commerce Township, Northville, Novi, Troy Crooks, West Bloomfield. Ferndale and the two Grosse Pointes remain paused.
05 · What changes from here
- The base program stays funded and untouched
- The ask: point the ad fund Meta audience at new customers only; no new money; expectation $5 to $8 per $1, written falsifier (What's Next tab)
- September watch: the restarted five recover traffic-first, and the three dark stores' sales are the lag test; if the pattern breaks, we say so here
- The twelve December stores are the first conversations about restarting local investment; the proposals awaiting decisions are on the What's Next tab
Media is 1.22% of sales through August. September carries the reads that decide the 2027 plan: the restart recovery and the dark-store lag.
Evergreen · applies to every period in this report
How the Numbers Are Built
The measurement questions, the exact formulas, and what each number can and cannot claim. Every figure can be recomputed from the sources shown.
The five measurement questions
1. What is in the revenue side? Meta revenue is modeled: window-attributed purchases multiplied by an $18 average order derived from Toast POS data (net sales divided by orders). We do this because Meta's native conversion value field has been unreliable. Google's online sales figure is platform-tracked online ordering revenue. Both sides count online orders only. In-store impact is not in any ROAS figure; it shows up in the intent signals we track separately (driving directions, calls, menu views).
Also, any Doordash/Uber Eats orders and phone calls are not tracked here, although we do believe there is an influence, so if anything the revenue numbers are most likely underreported.
2. What attribution window? Meta is reported on the platform standard: 7-day click, 1-day view. Google purchases run on a 30-day click window. The Q2 report publishes Meta under every window setting, not just the standard, because the window alone moves the read from 1.35x to 30.67x on the same revenue. You can see the full report > HERE
3. Are view-throughs counted? Yes, in the standard window, and they are most of it. As pictured above, the 1-day view window is matching against the majority of the reported revenue.
4. When Meta and Google claim the same order? They both do, and we do not deduplicate. Each platform reports its own attribution. We keep them separate and never sum them into a combined revenue claim. Overlap between them happens and is unmeasured, which is one more reason the report treats platform returns as efficiency reads rather than sales claims. The only unduplicated ledger in the program is POS, and the report's sales analysis runs on POS.
Some of that overlap is the two platforms doing their jobs in sequence rather than double-counting error. They sit at different points of the same decision: Meta builds and refreshes demand, mostly through ads people see rather than click, and Google captures intent when it surfaces, near-me searches, branded searches, and ordering clicks.
A common path is a person seeing a Meta ad this week and searching "smoothies near me" next week, a search Google converts, and when that happens both platforms attribute the order. Each is telling the truth about its own touch. That is the strongest reason to keep them separate instead of forcing one winner per order: the credit fight has no right answer, and the pair works as a system.
5. Reported or incremental? Reported. No attribution window measures incremental sales, and no holdout or geo test has been run to date. What exists is evidence from the program's own history, covered below.
For 2027 planning: we think the current budget and strategy have hit their ceiling. The big step up came in the program's first year, from launch in June 2024 through the +10.9% same-store peak in summer 2025, and that was the one-time gain from converting the audience the strategy targets. On the current budget, current audiences, and current strategy, plan for same-store sales to hold within roughly plus or minus 5% year over year. We would not expect another spike. A second growth cycle takes a change on the scale of the first one: new audiences, and investment pointed at them.
The exact formulas
Every number below can be recomputed from these definitions. Media spend means media dollars only; agency fees are never inside any ROAS figure.
Meta purchases = purchase events Meta attributes within the standard window (bought within 7 days of clicking, or 1 day of seeing an ad), summed across the system campaign and the store-funded ad sets. Q2 2026: 90,626 purchases.
Meta revenue = Meta purchases × $18.00 average order value. The AOV comes from POS data (system net sales divided by orders) rather than Meta's native conversion value field, which has been unreliable. The AOV is refreshed periodically against POS and the current model carries $18.00. Q2 2026: 90,626 × $18.00 = $1,631,268.
Meta ROAS = Meta revenue ÷ Meta media spend. Q2 2026: $1,631,268 ÷ $53,188 = 30.67. The YTD 2026 view prices the same way on the two always-on purchase campaigns: 216,235 purchases × $18.00 ÷ $134,585 = 28.92.
The same three formulas produce the window table on the report's Overview tab: swap in each window's purchase count and everything else holds, which is how the same quarter reads 30.67 on the standard window and 1.35 on 1-day clicks.
Google purchases = online-order conversions Google Ads attributes on a 30-day click window.
Google revenue = the online ordering conversion value passed to Google Ads from the ordering platform. Google's revenue is platform-tracked rather than modeled, since its conversion value field works reliably.
Google ROAS = Google conversion value ÷ Google media spend. Q2 2026: 8.15 on $82,304 of spend, implying roughly $670.8K in tracked online-order value.
One property of these definitions worth noting: the Meta side is auditable end to end against POS (the AOV) and Ads Manager (the purchase counts and spend), and the Google side against the Google Ads interface directly. Nothing in the calculation lives only in a spreadsheet of ours.
The $614 question, worked through
The math is correct. $614 a month at 26x implies roughly $16K a month, about $191K a year, of additional sales per store. Average store volume is roughly $75K to $80K a month. We know nobody would believe that claim, and the report does not make it.
The attributed number is the online-order revenue from people the ads reached who then purchased inside the attribution window. Most of those people are existing customers, because the campaigns optimize toward the likeliest buyers, and the likeliest buyers already know the brand. Attributed revenue is the share of sales the media touched.
For scale: paid media is 1.1% of net sales, about a penny of every revenue dollar, and the store-level layer runs $500 to $1,100 a month.
Media coverage of total sales
One more thing on scale. In August, attributed orders across both platforms matched to roughly 17% of total system sales. The other 83% moves for reasons the media reporting never sees: weather, operations, pricing, local news, and the ordinary volatility of a 55-store system. So a strong media month and a flat or down sales month can happen at the same time, and neither one disproves the other. July was the live example: the platforms had a reasonable month at steady spend while a category event took almost nine points off same-store sales.
Our read is that media softened part of that fall for the stores with presence, and the July store-level numbers support it. We cannot prove a softening claim from attribution data, so we will not try to. Media at 1.1% of sales, touching about 17% of orders, should be judged on the orders it can see and the store-level patterns.
What we know about incremental effect
Attribution reports what media touched; incremental effect is what would not have happened without it. No holdout or geo test has been run on this account, so no number in this report is a measured increment.
What exists instead is evidence from the program's own history: stores that stopped investing, stores that kept investing, and stores that restarted, each read against its own baseline. That record updates at every close and lives in the period summary's "What we know about incremental effect" section, with store-level detail on the Website Traffic tab.
Two standing caveats apply to all of it. Market events have causes beyond media and hit every store, and stores choose their own investment, so operator differences ride along with any group comparison. That is why the record sits under evidence rather than proof.
Q2 2026 · For Nostimo leadership
Executive Summary
The quarter’s results and the growth question they raise. Every figure here is detailed on the tabs that follow.
The size of the program
Paid media is 1.1% of net sales: about one penny of every revenue dollar, roughly $45,000 a month across both platforms against $12.11M in quarterly sales. That scale matters for reading the results. Month-to-month sales swings are driven mostly by demand, seasonality, and one-off events, and a media layer this small moves results at the margin rather than moving the whole sales line. Media’s effect shows up store by store and audience by audience, which is where the rest of this report looks.
The platform return numbers carry a related caution: Meta’s Q2 return reads anywhere from 1.35x to 30.67x depending on the attribution window applied, on the same revenue model throughout, and the full window-by-window breakdown is on the Overview tab. This report quotes the standard window, treats every return figure as an efficiency read rather than proof of incremental sales, and rests its argument on the sales, traffic, and store-level data instead.
What the strategy delivered, and when
This program launched in June 2024, built to convert the people most likely to buy, and it worked. By summer 2025, same-store sales were up more than 10% over the prior year. That was the strategy doing exactly its job: converting the reachable audience it was pointed at. A year later, the strategy has not changed, the budget has not changed, and the target has not changed. It is still return-focused, still aimed at people who already know the brand, and summer 2026 is now comparing against the growth it already delivered. Same-store growth has run four straight quarters in a narrow band, +0.9% in Q2, while platform-reported efficiency kept climbing to its best marks on record. Nothing broke. A strategy built to convert existing demand delivers its step up once. It cannot deliver it twice against the same audience, and that, more than any single number in this report, is the reason the strategy has to change.
Same-store net sales growth, year over year by quarter, on the 40 stores open every month since June 2023 so every bar compares identical stores. The 47-store basis used elsewhere in this report reads +0.9% for Q2 2026. The program launched in June 2024 into a declining base: its first quarter still compared -3.6% against pre-program sales, before four straight quarters of accelerating growth.
The next customer
Every dollar in the program, the base and the roughly $12,000 a month that 22 stores invest extra, optimizes toward the likeliest buyers, and no audience segment anywhere in the account targets people who have never bought. The stores investing extra are established operators, ranking high by sales volume, investing where growth is under pressure; the full breakdown is on the Overview tab. The point that cannot be stressed enough: growth from here means getting in front of new customers. The proposed restructure points the ad fund at exactly that, existing customers excluded from the audience, at an expected $5 to $8 back per $1, roughly $28,000 to $46,000 a month in revenue from customers the brand does not have today.
The plan
The base program stays funded and untouched. The growth dollars change jobs: the regional restructure with new-customer-only targeting, the approved TikTok test in Naples, the twelve December stores as the first conversations about restarting local investment, the eight stores that stopped in June tracked through September, and a matched-store test to separate what extra investment causes from what it correlates with. The sequence and budgets are on the What’s Next tab.
One penny of every revenue dollar converts the people who already know BJE, at the best efficiency on record. Growth means reaching the people who do not. The strategy that grew summer 2025 cannot also grow summer 2026 without changing what it aims at.
What the quarter is telling us
Stores spending extra vs. the base program
Every store runs on the same base: the $500 monthly Google campaign and the system-wide ad fund Meta campaign. In Q2, 22 stores added their own Meta dollars on top, about $12,000 a month combined and typically around $500 a month per store at the median. This is a modest layer, not a heavy bet. Across the 47 stores open in both years, same-store sales grew 0.9% over last Q2. The most common question in the system is whether that extra spend shows up in results. The honest answer has two halves.
Digital attention: funded stores lead clearly
Stores spending extra grew store page traffic more than 8x faster at the median, and held 7 of the 10 largest traffic gains in the system. The media is reaching people.
Same-store sales: the raw comparison flips
On raw same-store sales, base-only stores grew more at the median. The reason is who adds media: established operators whose growth is already under pressure. The breakdown is under the chart below.
Split the same 47 stores in half two ways. Yellow is investing extra into the program, teal is the base program. Ranked by Q2 net sales, the stores investing extra skew toward the top: 10 of the 17, with a median quarter of $233K against the base group’s $224K. Ranked by growth against last year, the same stores skew toward the bottom: 11 of the 17.
Ranked by Q2 net sales
Ranked by growth vs last year
Read together, the two rankings tell one story: the system’s established operators are the ones investing extra, and they invest where growth is under pressure. The gap holds at every store size, so size does not explain it, and the steepest decliners are mostly stores investing nothing extra at all. Neither ranking settles what the extra investment causes on its own. A matched-store test does, and it is part of the Q3 conversation.
Every store’s placement47 stores · sorted by Q2 sales▶
| Store | Funding | Q2 2026 sales | YoY | Growth group |
|---|---|---|---|---|
| Bloomfield Hills Maple & Lahser | Base | $394,345 | +6.6% | Top half |
| West Bloomfield | Extra Meta | $380,695 | -1.7% | Bottom half |
| Ferndale | Extra Meta | $359,575 | -3.2% | Bottom half |
| Cleveland Uptown | Base | $355,780 | +3.2% | Top half |
| Southfield | Base | $345,412 | +4.4% | Top half |
| Grosse Pointe Woods | Extra Meta | $333,741 | -9.8% | Bottom half |
| Clarkston | Base | $313,671 | +17.1% | Top half |
| Troy Somerset Collection | Base | $309,734 | -5.7% | Bottom half |
| Clinton Township | Extra Meta | $301,054 | +3.6% | Top half |
| Warren | Base | $293,969 | -1.5% | Bottom half |
| Shelby Township 23 Mile | Extra Meta | $290,242 | -2.6% | Bottom half |
| West Dearborn | Base | $279,107 | -5.6% | Bottom half |
| Cleveland Downtown | Base | $277,157 | -0.0% | Bottom half |
| Northville | Extra Meta | $276,223 | +1.1% | Top half |
| Rochester Hills Walton Blvd | Base | $274,252 | +2.2% | Top half |
| Bloomfield Hills South Telegraph | Base | $273,878 | +3.6% | Top half |
| Copley | Base | $263,329 | +11.7% | Top half |
| Commerce Township | Extra Meta | $259,246 | -1.8% | Bottom half |
| Woodhaven | Base | $254,129 | -2.9% | Bottom half |
| Highland Heights | Base | $250,499 | +12.9% | Top half |
| Birmingham Cole St | Base | $246,957 | -4.8% | Bottom half |
| Birmingham Maple Rd | Extra Meta | $245,545 | -4.6% | Bottom half |
| Grosse Pointe | Extra Meta | $232,609 | -1.2% | Bottom half |
| Auburn Hills | Extra Meta | $232,182 | +8.2% | Top half |
| New Baltimore | Extra Meta | $230,275 | -6.2% | Bottom half |
| Detroit New Center | Base | $224,224 | +9.7% | Top half |
| Troy 16 & Rochester | Base | $224,147 | +14.8% | Top half |
| Dearborn Heights | Base | $220,601 | +1.3% | Top half |
| Ann Arbor Uptown | Base | $219,549 | +5.6% | Top half |
| Detroit Eastern Market | Base | $207,463 | +9.0% | Top half |
| Naples Tamiami | Extra Meta | $207,092 | +7.9% | Top half |
| Novi | Extra Meta | $207,009 | -2.8% | Bottom half |
| Troy Crooks Rd | Extra Meta | $206,124 | +6.2% | Top half |
| Brecksville | Base | $203,952 | +0.6% | Bottom half |
| White Lake | Extra Meta | $199,705 | -3.7% | Bottom half |
| Lakewood | Base | $194,653 | -0.1% | Bottom half |
| Rochester Hills S Rochester Rd | Base | $194,176 | +8.1% | Top half |
| Ann Arbor South University | Base | $193,712 | +9.8% | Top half |
| Shelby Township Hall Rd | Extra Meta | $191,690 | -6.4% | Bottom half |
| Green | Base | $187,940 | +3.9% | Top half |
| Ann Arbor Washtenaw | Base | $186,978 | +3.5% | Top half |
| Milford | Base | $178,164 | -10.5% | Bottom half |
| Farmington | Extra Meta | $172,045 | +3.4% | Top half |
| Livonia | Base | $165,678 | -14.7% | Bottom half |
| Mentor | Base | $114,044 | -5.0% | Bottom half |
| Detroit Midtown | Base | $113,520 | -12.7% | Bottom half |
| Brunswick | Base | $104,299 | +2.7% | Top half |
Why the sales comparison flips, and what it actually tells us
The stores that add media are mostly established operators whose growth has come under pressure: a new competitor nearby, a soft trade area, a large base flattening. Stores growing comfortably tend to stay on the base program. So a raw sales comparison stacks the deck against media by placing it exactly where growth already needed help, and the traffic numbers show the media doing its half of the job in those stores. What the comparison cannot do, in either direction, is prove what sales would have been without the spend.
The way to answer that for real is a matched-store test: add media to some stores, hold it from matched stores, same weeks, and measure the gap. That test is the single clearest next step this data points to, and it is part of the Q3 conversation.
Method: cohorts from 2026 budget actuals (franchise Meta spend in Q2). Sales comparison uses the 17 funded and 30 base-only stores with full sales history in both windows, so new openings do not distort either group. Medians throughout. Traffic is GA4 store page users.
Reading the Meta return number: attribution windows
Meta reports a purchase whenever someone buys within a chosen window after clicking or seeing an ad. The window moves the return from $1.35 to $30.67 on the same quarter, so here is Q2 under every setting. Purchase counts come from Meta’s reporting; every return is computed on this report’s revenue model so the numbers stay comparable.
| Attribution setting | What it counts as a purchase | Q2 purchases | Return per $1, report model |
|---|---|---|---|
| Standard: 7-day click, 1-day view | Bought within 7 days of clicking, or 1 day of seeing, an ad | 90.6K | 30.67x |
| 1-day view | Bought within 1 day of seeing an ad | 79K | 26.74x |
| 7-day click | Bought within 7 days of clicking an ad | 11K | 3.72x |
| 1-day click | Bought within 1 day of clicking an ad | 4K | 1.35x |
Most attributed purchases are view-based: people who saw an ad and ordered within a day without clicking. Counting those answers whether people the ads reached went on to buy, which is a different question from whether the ad caused the purchase. The click-only windows have the opposite problem: people rarely click restaurant ads before ordering, so 7-day click (3.72x) and 1-day click (1.35x) undercount the same way view windows overcount. No attribution window measures incremental sales; a matched-store test does, and it is part of the Q3 conversation.
Basis note: every return above uses one model, window-attributed purchases priced at the report’s POS-derived $18.00 average order, divided by Q2 Meta spend. The standard window is the report headline.
Market context · EthOS Agile Insight platform · August 2026
Industry Report
The marketplace read for the second half of 2026: six forces reshaping restaurant demand, where the competition is moving, and the priorities that follow for BJE.
Sources · 2026 industry research
NRAGallupPwCCircanaBrightEdgeGoogleToastDoorDash
Six forces shaping the second half
50% vs 33%
The value backlash persists even as inflation cools
Grocery inflation has caught up, narrowing the eat-in versus eat-out gap in a way that supports restaurant demand. But the gap is widening between brands that credibly own value and brands that do not: 50% of operators reported higher same-store sales in May year over year while 33% reported declines. Matching discounts is the losing move. The move that works is making the reasons-to-believe fully visible.
21%
GLP-1 is a design mandate, not a demand problem
11% of U.S. adults currently take GLP-1s and an estimated 21% of households include a user. Behavior shifts toward protein, fiber, smaller portions, and higher-satiety choices: shifting habits, not shrinking demand. The under-the-radar move: 35% of consumers want smaller portions at proportionally lower prices.
43% to 8%
The protein arms race reached smoothies and bowls
Every direct competitor launched a dedicated high-protein platform in early 2026, and category research finds 43% of consumers actively trying to eat more protein while only 8% feel they are succeeding. BJE has held this functional strength for years; the strategic question is expanding awareness of it before the category noise drowns it out.
~78%
AI is rewriting how restaurants get found
Restaurant queries triggering Google AI Overviews grew from roughly 10% to roughly 78% in twelve months, one of the fastest-growing verticals tracked, and under 10% of AI-cited restaurant results overlap the traditional organic top ten. 22% of consumers have already used an AI tool to choose a restaurant. Visibility strategies built for the old results page do not automatically carry over.
38%
Social creates the craving, search closes it
TikTok drives 38% of Gen Z restaurant discovery and 46% of diners 18 to 34 use social to find new places. Across all adults, discovery still runs on word of mouth, passing the location, and Facebook. The pattern is sequential, not exclusive: social sparks the interest, and Google, Maps, and reviews convert it.
30-35%
Delivery economics keep pushing toward owned relationships
Third-party delivery commissions run 15 to 30%, with all-in costs closer to 30 to 35%, and the restaurant loses customer-data ownership on every third-party order. With attribution confidence falling below 50% industry-wide, the imperative is owning the relationship through app, loyalty, and CRM.
The brand moment
What is working
A made-to-order format that hits real macros. An on-trend functional beverage and food offering. A strong record of taking care of customers. The market is moving toward what BJE already is.
What is under pressure
Reliably being found. Proving the worth-it case at the moment of decision. Being heard above the competitive noise. BJE closed a quarter in which little internal shifted and almost everything external did.
Competitive movement
The value-accessible, wellness-credible position is the winning posture in the category, and well-funded competitors are accelerating into that same space. Tropical Smoothie Cafe in particular is closing the gap as economic pressure loosens loyalty, BJE enters new markets, and competitors lean into protein, fiber, and functional formulations. The differentiation is real today; the window to press it is now. The checkpoint below re-rates each competitor as of July 1, against April 9.
| Brand | Threat to BJE | This period (July 1 checkpoint vs April 9) |
|---|---|---|
| BJE Functional wellness smoothie + eatery |
CLIENT | East Cobb opened in May and a Cleveland Clinic hospital site was announced June 23. The whitespace BJE holds is now contested by Smoothie King and TSC. |
| Tropical Smoothie Cafe Tropical smoothie + food franchise, 1,600+ locations |
HIGH | Scale plus Blackstone backing and a new agency of record. Its key vulnerability is a consumer-verified quality gap against BJE. |
| Smoothie King Smoothie + functional nutrition, ~1,200 US |
HIGH · NEW | New to the set. April repositioning into nutrition authority with flatbreads and high-protein food, free franchisee ovens. The most positioning-adjacent brand to BJE. |
| CAVA Mediterranean fast-casual, primary in Atlanta |
HIGH | Elevated from MED-HIGH: Q1 same-store sales +9.7%, traffic +6.8%, 459 units, raised guidance, Midtown Atlanta opening. |
| Playa Bowls Acai and superfruit specialist, 300+ |
MED | Raised from LOW-MED: entered BJE’s East Cobb corridor in a former Clean Juice site, new CMO and CDO, first international opening. |
| Chipotle Customizable Mexican fast-casual, 4,000+ |
MEDIUM | Steady: first positive transaction growth in three quarters, World Cup BOGO and value-hour testing, portion backlash persists. |
| Panera Bakery-cafe, broad daypart, 2,239 |
LOW-MED | Quality decline and confused positioning; its refresh overlooks fresh and healthy. |
| Sweetgreen Premium healthy salad and bowl, ~255 |
LOW | Retrenching: Q1 same-store sales down 12.8%, traffic down 11.2%, national wraps launch and loyalty reset underway. |
| Chick-fil-A Premium QSR benchmark anchor, 3,000+ |
LOW | The operational benchmark for the set. No health positioning. |
Wave 1 competitive checkpoint, rated as of July 1, 2026 and re-rated against April 9, 2026. Threat ratings are to BJE specifically.
Priorities for the second half
01
Be findable at discovery and re-discovery
Search visibility built for the AI results page (SEO and AEO content), upgraded CRM and loyalty communication, and continued expansion of digital advertising and social. The Google Performance tab shows the paid side of this already compounding: non-brand discovery searches gave the brand 4.3x more visibility than last Q2.
02
Elevate the worth-it story
Integrate the brand and founders’ story across touchpoints, proactively collect ratings and reviews from the customer relationships already being built, and push the differentiated reasons-to-believe above the price-dominated value noise. Winning the value argument without discounting.
03
Pursue and convert first-timers
A new-customer digital campaign with competitive spend, because BJE simply needs more opportunities to win customers. De-risk the first purchase with first-timer menu suggestions, sign-up rewards, and functional mini menus, then anchor the experience with review prompts and first-time bouncebacks. This is the same conclusion What’s Next reaches from the performance data: the growth dollars belong in front of people who have not bought yet.
The through-line: demand is moving toward exactly what BJE already makes, and the constraint is not the product, it is being found and converting first-timers before well-funded competitors occupy the same ground. The media plan in What’s Next is built against that clock.
POS · June 2023 to August 2026
System Net Sales
Monthly net sales for the whole store system, June 2023 through August 2026, from POS exports. Every month restates from the newest export at each close. The small figure above each bar is that month’s percent change against the same month a year earlier. Both views reach back a full year before the paid media program launched in June 2024, marked on the chart. Same-store view covers the 40 stores open every month of the window, so that trend shows performance, not openings, across the entire three years. Year-over-year comparisons elsewhere in this report use the 47 stores open in both comparison years, a slightly wider set, which is why the Q2 same-store figure reads +0.9% there and +0.6% on this chart’s stricter cohort.
MONTHLY DETAIL · net sales and orders
Meta Ads
Meta Performance
Results for April through June 2026. Revenue here means attributed revenue: website purchases times an $18 average order. Ad fund and franchise-funded campaigns are always shown separately because they run different budgets with different jobs.
Monthly ROAS · Q4 2025 through Q2 2026 (hover for detail)
Q4 2025
Q1 2026
Q2 2026
Q3 2026
System-Wide vs. Franchise
Meta Ads · Apr-Jun 2026
Creative Performance
Every ad that drove orders in Q2, with spend, time in market, and the awareness it generated. Reach is summed across store campaigns, so a person who saw the same ad near two stores counts twice. Ads launched before April carried over from Q1.
Duo Deals
Alohaberry + Rizz
Chicken Caesar Broccoli Wrap
Protein Berry
Refresher
Fall Carousel
Grilled cheese
National Açai Day
Influencer Video
First Day of Summer
Ube
Smoothie Bestie Bundle
Cookie Butter Smoothie
Wrap Bestie Bundle
Now Open Creative
New Years 2026 Event
Functional Duo
Southwest Duo Deal
First Anniversary
Core Menu
Flex Ad
TikTok Influencer, Amber C
Core Offers
Now Open Delivery V1
Canton GO
Canton GO Event Boost
TikTok Franky
New Years Smoothie Event Ad
TikTok Ambar Superstar
TikTok Fitness Cookie
50% Off Smoothies for Students Event
Brookhaven GO Event Boost
Dunwoody GO
Grand Opening Event Boost
East Cobb GO
Dunwoody GO Event Boost
East Cobb Grand OpeningThe Q2 creative slate
CREATIVE DETAIL · ranked by purchase volume
Grand opening and event rows (East Cobb, Canton, Now Open) optimize for reach, sign-ups, and event responses rather than purchases. Their purchase metrics appear here for completeness but are not the success measure; their results are covered on the Campaign Structure tab.
Google Ads · Performance Max · 51 locations
Google Performance
One Performance Max campaign per store, live across 51 locations in Q2. Revenue on this tab is Google-reported conversion value from the GA4 purchase action, a different basis than the Meta tab, so the two platforms are not directly comparable. Data pulled August 3; Google attributes conversions for weeks after month end, so Q2 numbers are matured and stable.
An established channel, not a test
Google has been live for BJE since July 2024 and runs as a co-primary channel alongside Meta: one Performance Max campaign per store, the ad fund covering a $500 monthly base at every location, franchise dollars adding on top. Its job is different from Meta’s. Meta creates demand with creative; Google catches people already searching for smoothies, juice, and bowls nearby and gets them to an order. Q2 was its best quarter on record.
RESULTS BY MONTH AND LOCATION
Search demand · non-brand searches · Q2 2026 vs Q2 2025
411K
Near-me searches: 4.3x more visibility than last Q2
Ads showed on 411,114 nearby-intent searches this quarter, against 95,016 in Q2 last year: people typing "smoothies near me," "healthy food near me," "salad near me" within reach of a store. "Smoothies near me" alone converted 212 times. This is the intent layer Meta cannot catch, and it is exactly what Performance Max is for.
9.5x
Competitor searches: presence grew almost tenfold
Ads served on 31,252 competitor-brand searches in Q2, up from 3,293 a year ago. Tropical Smoothie Cafe searchers saw BJE 13,785 times and converted 25 times, against 3 conversions last Q2. Every one of those orders started as someone else’s customer, and Tropical Smoothie terms convert where Smoothie King terms mostly click.
+331%
Discovery beyond the brand more than quadrupled
All non-brand searches together: 537,649 impressions in Q2 2026 against 124,608 in Q2 2025, with conversions up 134% (613 to 1,433). The program’s reach among people not already looking for BJE by name is growing much faster than spend, which is what channel expansion into new audiences is supposed to look like.
| Search term (verbatim) | Intent | Impressions | Clicks | Conversions |
|---|---|---|---|---|
| smoothies near me | High intent | 22,114 | 1,791 | 212 |
| smoothie near me | High intent | 29,114 | 2,949 | 129 |
| healthy food near me | High intent | 21,541 | 955 | 70 |
| salad near me | High intent | 9,151 | 434 | 51 |
| acai bowls near me | High intent | 4,201 | 247 | 18 |
| wraps near me | High intent | 1,570 | 80 | 11 |
| tropical smoothie | Conquest | 4,983 | 139 | 13 |
| tropical smoothie cafe near me | Conquest | 3,631 | 196 | 4 |
| smoothie king | Conquest | 3,514 | 52 | 2 |
| smoothie king near me | Conquest | 2,183 | 152 | 0 |
Both windows are April 1 to June 30 of their year. This view covers non-brand searches: the demand Google finds beyond people already looking for BJE by name. Conversions are Google-counted across all conversion actions, so they do not sum to the Q2 purchase figures above.
GA4 · Website traffic impact
Website Traffic: Store Pages
All store pages · established windows
SHOWN SEPARATELY · new store and coming-soon pages, excluded from the medians
How the program is built
Campaign Structure
The program ran four layers in Q2, each with its own job. The ad fund Meta campaign covers every participating store. Franchise-funded Meta ad sets sell for each location that adds local budget. Google Performance Max catches people already searching, one campaign per store across 51 stores. Grand opening campaigns hand new stores to the always-on layers.
How it is funded
Media Strategy
Two pools of money. The ad fund pays for the system-wide Meta campaign and the $500 monthly Google base at every store. Grand openings run on franchise dollars, with corporate adding launch investment case by case. Franchises add local budget on top at the stores that choose to. New spend gets new budget, never money taken from campaigns that already work.
Google Performance Max · location targeting
Targeting Map
Every store’s Google Performance Max radius, drawn to scale from the account’s location targeting export. Yellow rings mark the 22 stores also spending their own franchise dollars on Meta; teal rings run on the base program. Franchise Meta ad sets target their own local radii, which are not part of this export.
Spending extra on Meta
Base program
49 pairs of stores have overlapping Google zones
Radii are the live Performance Max settings per store, 1 to 4 miles. New Baltimore runs city-level targeting instead of a radius and shows as a pin only. The map loads from OpenStreetMap and requires an internet connection.
What we did and why
Activity Log
Every meaningful change made to the account in Q2, April through June, in plain language with the most recent first. Each entry states what we did and why, so the reasoning travels with the numbers.
Loading activity log...
The growth path · Q3 2026 and beyond
What's Next
One argument, in three steps: the core audience is funded and working, almost nothing in the program reaches people who do not know the brand yet, and the next dollars should change that.
The audience map
Every person in your markets sits in one of three groups. Today’s campaigns optimize toward the people most likely to buy, and there is no audience carve-out for new customers. We cannot say exactly where every dollar lands, but odds are a lot of it reaches people who already buy from you. That is why the return number is so high, and why sales growth does not climb with it.
The foundation is strong and doing exactly its job. The blended account shows about $31 back per $1 because the campaigns chase the likeliest buyers, and the likeliest buyers are usually people who already know you. We cannot say every dollar lands on regulars, but with no audience segment built to find new customers, the high probability is that much of it does. Growth lives in the outer rings, and today no campaign is aimed at them.
Set expectations now: the shifted budget’s return number will be much lower, an expected $5 to $8 back per $1 instead of $31, because reaching a stranger always costs more than reaching a regular. The two numbers measure different jobs: one converts people who already buy, the other creates customers. At $5,700 per month, $5 to $8 back means roughly $28,000 to $46,000 a month in attributed revenue from customers the brand did not have. If it is judged against $31, it will be shut off right before it works.
The strategy behind the map
One Meta Advantage+ campaign, split into two regional ad sets so each market gets its own creative and budget, then a new-customer layer on top. Two decisions to make: how to split the budget between regions, and how to fund the new-customer targeting. The map above shows the shift path (new-customer Option B): zee dollars keep the core covered while the ad fund converts. Option A below instead adds a dedicated new-customer campaign as incremental budget, leaving the ad fund untouched. Tap any option to expand.
How the regional split worksStructure▶
One campaign, two ad sets: Michigan/Ohio (50 locations, the majority of the footprint) and Florida/Georgia (the small, growing footprint). Each ad set runs its own creative, its own dedicated budget, and geo-targeting from the store list, while both stay inside one campaign shell so the account-level signal Meta has learned stays unified. Michigan and Florida stop seeing the same ads. Reporting moves to the regional level instead of one blended number, and every new location joins its region’s ad set on opening.
Budget Option A: Equitable parity$114 per location everywhere▶
Apply the current $114 per location rate evenly to both regions: Michigan/Ohio $5,700 per month and Florida/Georgia $456 per month, out of the same $6,156 total running today. Every location gets identical investment. It is the simplest model to explain to franchisees and the easiest to maintain as stores open.
Budget Option B: Weighted support for emerging marketsA dial, not a rule▶
New markets earn a heavier weight while they build awareness, the same logic as elevated support for a brand-new store. Example setting: Michigan/Ohio runs at $100 per location ($5,000 per month) and the $700 difference shifts to Florida/Georgia, bringing it to roughly $289 per location ($1,156 per month), more than double the baseline rate. The size of the shift dials up or down depending on how much support the newer markets should get.
New-customer Option A: Add a dedicated campaignIncremental budget▶
A separate campaign layered on top of the regional structure, targeting new customers only: existing customers are excluded using Meta’s exclusion tools with first-party data (purchase history, loyalty lists, email and phone matches). The existing regional campaigns continue untouched, so loyalty coverage and new-customer acquisition run at once. Requires new incremental budget ($5,700 per month at the $114 rate across Michigan/Ohio) plus a $250 per month management fee for the additional campaign.
New-customer Option B: Test within the existing budgetNo new spend▶
Instead of adding spend, the Michigan/Ohio ad set converts to new-customer-only targeting using the same exclusions, since it carries the footprint and lifetime purchase volume that make exclusions meaningful. Florida/Georgia is unaffected and keeps building general awareness. No new budget and no added fee. This is the lower-cost way to validate whether new-customer targeting changes results before committing incremental dollars to Option A, and it is the path the map above shows. The tradeoff: during the test, the loyalty-heavy delivery behind today’s ~$31 pauses in Michigan/Ohio, so the return number will drop while it runs.
Decisions needed to start the build: the regional budget model (A or B) and the creative direction for Florida/Georgia.
Return figures are platform-attributed (Meta standard window: 7-day click, 1-day view; the window breakdown is on the Overview tab). The map covers both Meta budgets: the ad fund campaign ($6,156/mo) and the franchise-funded location ad sets (about $12,000/mo across 22 stores in Q2). Both target the same likeliest-buyer audiences today; the restructure only changes the ad fund side. Google Performance Max also serves against brand searches and will keep doing so; it is left off the map because it is not a strategic focus. The ~$31 is the Q2 2026 blended Meta return; $5 to $8 is the working expectation for new-customer-only targeting, stated before launch so results get judged against the right bar.
System-wide · June 2023 to present
Location History
Every opening and change in the BJE system since sales tracking began in June 2023, derived from POS data. Nearly every open store had paid media in Q2 2026; the distinction is whether the franchise adds local budget on top of the ad fund base. Sales are recorded for all open locations regardless.
Brand and market context
Marketing Strategy
The strategic frame the paid media program operates inside: the brand platform, the annual outlook the program executes against, the consumer research underneath both, and REGROUP’s standing perspectives. Full documents download from each card.
Perspective · August 2026
Playa Bowls Competitive Perspective
Requested at the Q2 strategy session: why Playa Bowls keeps winning. Their growth from 80 to 400 locations since 2022 runs on new ownership and leadership, a loyalty program past 2 million members, social reach that outscales every direct competitor except Sweetgreen, menu innovation run as a fixed media calendar with a member offer attached, and a purpose partnership every franchisee can activate. The encouraging finding for BJE: on followers per unit, Beyond already competes near Playa’s level, roughly 460 per store against their 615, far ahead of the national smoothie chains. A bigger media budget appears nowhere on that list.
⤤ Download the perspective (PDF)
Perspective · August 2026
Loyalty Program North Stars
What the best loyalty programs actually do, across categories and among peers, as BJE weighs its program upgrade. The framing matters: loyalty is a retention, identification, and margin system, not a growth driver. The sharpest peer benchmark is speed to value: Smoothie King puts a real reward within $25 of spend while Beyond’s first threshold sits near $75, about four visits away. Topline recommendations: close the speed-to-value gap first, build six basic CRM journeys, manage to the fourth visit rather than to enrollment (Beyond’s 30-day return rate runs roughly 12% against peers at 66 to 72% over 90 days), connect the program to service recovery, and skip tiers at launch.
⤤ Download the perspective (PDF)
Brand platform · 2026
Brand Communications Guide: Feel Beyond Good
The brand platform every campaign in this report speaks from. Five pillars: Flavor First, Fresh Made Better, Hospitality That Feels Human, Wellness Without Judgment, and Trust Through Consistency. The competitive audit identifies the white space no competitor holds at once: genuine hospitality at scale, a full beverage plus food plus functional wellness menu in one kitchen, authentic personality, and continuous innovation. The strategic imperative: everything that makes the brand loved already exists, the job is making it findable.
⤓ Download the brand guide (PDF)
Presented January 28, 2026 · Annual convention
2026 Review and Outlook
Jan Muhleman’s convention presentation. 2025 delivered +5.9% same-store sales ($37.85M system) with both media channels beating industry benchmarks, and stores running local Meta support grew +13.3% YoY against +8.1% for stores without it. The 2026 priorities this quarter’s work rolls up into: keep media behind every promotion and test expansion channels, grow menu variety to win new customers and dayparts (Duo Deals, Alohaberry, Lifestyle Bowls, a breakfast LTO), and refine the loyalty experience so first-time customers come back.
⤓ Download the full deck (PDF)
March 2025 · Consumer research
Brand Awareness and Usage Study
The research foundation under the strategy. Customers give the brand a 71 NPS, the highest score any brand in the study earned from its own customers, and 90% name it their favorite. The gap is awareness, not affection: 2% unaided recall in the competitive set against 24% for competitors, and among prospects who prioritize healthy eating and know the brand, a third have visited. The growth case is promoting taste plus health together to expand past the 19% of the market that prioritizes nutrition alone.
⤓ Download the study (PDF)
Appendix
Proposals
Every proposal REGROUP has presented for the program, newest first, so the record of what was recommended and when travels with the report.
Presented August 2026 · Growth proposal
Meta Campaign Restructure: Regional Ad Set Strategy
The proposal behind the What’s Next plan and the audience map. One Advantage+ campaign splits into Michigan/Ohio and Florida/Georgia ad sets so each market gets its own creative and budget, with two budget models (equal per-location parity, or weighted support for the emerging markets) and two paths to new-customer targeting: a dedicated campaign on incremental budget, or converting the Michigan/Ohio ad set inside the existing spend, with existing customers excluded through first-party data either way.
⤤ Download the proposal (PDF)
Presented August 2026 · Channel test
TikTok Test Recommendation
The approved channel test bringing BJE to TikTok in the Naples market at $1,500 a month, built to reach audiences the current channels do not and to give the newest market a presence layer of its own. Results feed the broader new-customer conversation on the What’s Next tab.
⤤ Download the proposal (PDF)
Presented July 29, 2026 · Crisis response
Supply Crisis Perspective
REGROUP’s read on the national cyclosporiasis outbreak, with Michigan and Ohio at the center of the nine-state cluster. The core findings: consumer caution has spread beyond iceberg to all leafy greens, including the kale and spinach in the beverage line; category identity predicts traffic damage at least as much as geography (a salad-identity brand outside the affected states fell 24%); and reassurance messaging backfires, so being unaffected is not a message. Recovery lags headlines by two to six weeks and reported cases keep climbing after real risk declines, so no communication should treat the outbreak as over.
Recommended: promote the customization advantage (free substitutions like no greens or quinoa for greens, in store and in online ordering, because guest control is what reduces anxiety); feature confidence-building menu items (all day breakfast, classic smoothies with a free booster, sorbet bowls, turkey wrap Duo Deals) with no promotion tied to the outbreak; and frontline scripting, a factual, bounded, non-guaranteeing answer for every team member plus a never-say list, so an unscripted counter reassurance never becomes the brand’s stated food safety position.
⤓ Download the full proposal (PDF)
Presented June 25, 2026 · Openings and new markets
Grand Opening + New Market Media Recommendation
A repeatable launch model in two parts. The grand opening framework runs three phases: pre-opening lead capture with a free smoothie offer to seed loyalty sign-ups, an event week with a dedicated day-of sales push, and a 30-day post-opening carousel. It includes the data case against Meta event boosts, which cost $14.17 CPM against $2.81 for awareness, and sets opening investment tiers at $2,500, $4,000, and $6,500 with new markets urged to tier three. The second part, New Market Activation, addresses Florida and Georgia, where there is no brand equity to activate: CTV and YouTube with digital audio layered in, structured as evergreen awareness at $6,000 to $10,200 per month across five locations, running until market maturity signals appear.
⤓ Download the full proposal (PDF)
Presented May 21, 2026 · Channel expansion
Incremental Media Recommendation: TikTok + YouTube
The waterfall channel expansion referenced in What’s Next. Adds TikTok and YouTube as ad fund prospecting channels layered above Google and Meta, which stay exactly as they are. Both channels target net-new customers only, excluding existing purchasers, app users, and recent site visitors, so new spend never pays twice for conversions the current program already captures. Recommended two-channel launch: $11,000 per month in media, $13,700 all-in, with ROAS as the headline KPI. The timing case: launching before political and retail demand pushes CPMs up 15 to 30% in the second half of the year.
⤓ Download the full proposal (PDF)
Presented February 23, 2026 · Loyalty and retention
Loyalty Sign-Up Growth Plan
A six-week push to grow loyalty enrollment ahead of the new app and rewards launch, grounded in the retention data: top-retention stores show 52% more online ordering and 2.6x higher retention among online customers. Four mechanics: a Feel Beyond Good spa sweepstakes where every sign-up and first app order earns an entry ($32,000 all-in, breakeven at 0.83 incremental app orders per store per day), a store-versus-store enrollment contest with team incentives, instant gratification at sign-up such as a free smoothie or same-visit discount, and QR sign-up prompts on every receipt and takeout bag.
⤓ Download the full proposal (PDF)
Appendix · Program management
Scope of Work
Everything managing the BJE paid media program covers. Every count below comes from the dated optimization log, and the log records finished changes only, not the strategy and analysis work behind them.
249 logged optimizations · 213 ad placements managed · 2 platforms · 50+ stores
A finished change every other day, on average. The log counts outputs only: the recurring internal media-team strategy sessions, the analysis behind each change, and the reporting builds are not in the number.
Meta campaign management
- Two always-on purchase campaigns (ad fund and franchisee program) plus per-store ad sets across more than 50 locations
- 148 logged Meta changes since September 2025: budgets, audiences, creative, structure
- 42 creative concepts trafficked into per-store ad sets: 213 individual placements in market this year
- Frequency management: spend pulled back when a store runs hot, like the store capped after hitting 15x frequency in 30 days
- Audience signal and exclusion upkeep, budget pacing, and learning-phase protection so campaigns are never reset without cause
- Grand-opening and event campaigns built and run as separately funded one-offs
Google / Performance Max management
- Per-store Performance Max and search coverage for online ordering, 101 logged Google changes since March 2025
- Target-ROAS bid strategy tuned store by store: 50 logged bid-strategy moves
- Keyword and negative-keyword work, like negativing "commerce" on the Novi campaign when ads served one town over
- Asset-group upkeep: headlines, descriptions, and imagery swapped as promotions turn; landing-page image pulls disabled when they grabbed the wrong art
- Sitelink cleanup and promo extensions, including dayparted offers ($2 off matcha, 7 to 10am, code MOOD)
- 87 logged budget moves across the two platforms, reallocating store by store as demand shifts
Budgets and funding administration
- The budget master maintained monthly: corporate and franchisee splits applied per the funding rules
- Per-store actuals reconciled against platform spend every close
- New locations added across every planning tab as they come online
Creative trafficking and testing
- Every creative is trafficked store by store: 42 concepts became 213 managed ad placements across 46 ad sets, 404 ad-months in market January through August. Slate launches and swaps follow the promo calendar, with headline and copy variants tested as assets rotate
- Every launch and swap logged with the reason, so creative decisions travel with their results
New store launches
- Coming-soon pages, grand-opening campaigns, and event boosts, with launch spend paced to the dollar (Naples Vanderbilt tracked against its $2,500 launch budget)
- Transition to always-on coverage after opening; 2026 to date: East Cobb, Canton, Brookhaven, Dunwoody
Measurement, reporting, and analysis
- Monthly closes reconciled to POS, with the average-order model maintained against Toast data
- GA4 store-page traffic tracked for 47 stores, month by month
- The dark-store analyses: cohort tracking that produced the year’s incremental evidence
- Quarterly reports, this live reporting hub, and the measurement rules documented on the How the Numbers Are Built tab
Account and platform administration
- Pixel and conversion tracking upkeep, account access and permissions, data pipelines feeding the reporting
- Platform-side problems caught and reversed, like an accidental store shutoff spotted and restored
Client and franchisee support
- Per-store questions and market deep dives for individual franchisees
- Proposals built and sent: the new-customer restructure, the TikTok test, the ad fund geo split
- Monthly sales updates and ad hoc analysis on request