The Growth Orchestrator for multi-unit brands.

Why ActionStack

More sales. Higher ROI. Clear answers.

+4%
Increased same-store sales

In pilots, restaurants increase same-store sales by 4% on top of their current run rate.

~2.3×
Higher ROI on every dollar

Every channel, loyalty, paid ads or third party, is about maximizing dollars out per dollar in. We optimize across all channels.

Clarity
Why am I up or down?

We separate signal from noise. External factors like weather, local events, and paycheck cycles get accounted for, so what's left is what you actually need to act on.

Feb · March Cohort
Tacko SFKalí Greek KitchenTodos CantinaSan Benito House
Jun · July Cohort
Adding two multi-unit groups
What is ActionStack

Your growth orchestrator, built on a reliable ontology that integrates all your data sources.

Data sources9 integrated streams
Raw POS
Digital ordering
Loyalty provider
3P database
Reviews
Catering invoices
Margin edge
Shifts
External events
weather · paychecks · holidays
OntologyData from all sources, contextualized and reliable.Resolved model
Growth orchestratorMaximize net sales at higher ROI across all channels.Built on the ontology
Autonomous agents
3P optimizer
inflation · promos · photo quality
CRM
personalized text & email
Paid marketing
Executive supportCEO · COO · CMO · Board
Signal from noise
on net sales up or down
Staff performance
Product mix
How the work runs

Plan. Test. Scale.

It compounds
Hover a step. One real example: Tacko loyalty incrementality
PlanProbability of returning in 90 days, by frequency
Observation70% of loyalty discounts go to customers who are already 90% likely to return within 90 days, who'd come back anyway. Points do little to keep the restaurant top of mind between visits, where the largest opportunity for incrementality is.
15%
1/yrtrier
30%
2–4/yroccasional
50%
5–11/yrregular
70%
12–24/yrsemi-monthly
90%
25+/yrweekly+
Hypothesis: the highest activation potential for incremental visits is in semi-monthly users. Target them with a Weekly Streak: 20% off every order so long as they come back weekly. The increased visit rate, driven by not wanting to lose the streak, outweighs the 20% margin hit.
TestWeekly Streak · 20% off while the streak holds
semi-monthly cohortmatched test vs control membersmatched: freq · recency · spend8-week read
Success metrics
Incremental visit rate+21% · CI [+12, +30] · p<.001
0
+21%
Net margin / member net of 20% off+5.2% · CI [+1.4, +9.0] · p=.02
0
+5.2%
Guardrail
Ticket size−1.6% · CI [−4.8, +1.6] · p=.41
0
−1.6%
● no harm: no down-trade in ticket size
ScaleTarget → enroll → guard the margin
Cohort agent

Finds the semi-monthly, high-headroom segment per store, never the already-loyal.

Streak comms agent

Enrolls and nudges by SMS: “one visit from week 4; 20% off if you’re back by Sunday.”

Margin monitor agent

Verifies net margin holds at topline; auto-pauses the discount if it turns margin-negative.

Rollout6 → 23 stores
+5.2% net margin holding at topline  →  feeds tomorrow’s plan
Tests to run

A backlog that prices itself.

#QuestionEst. annual ΔConfidence
01How should I allocate my entire marketing budget across Google/Meta, 3rd-party promos, and 1st-party loyalty?$119.4Kmodeleddirectional
Re-weights spend across Google · Meta · 3P promos · loyalty by per-channel marginal-ROI curves, net of commission.
02What specific promos, if any, should I run on Uber Eats and DoorDash?$84.2Kmodeledmedium
Matched Uber Eats vs DoorDash promo split, 4-week read, measured net of 3P commission.
03What's the optimal product mix to maximize net sales and gross profit?$61.0Kmodeledmedium
Item-level margin × menu-mix shift, ticket count held flat across 23 stores.
04Can item price-sensitivity pricing beat cost-based pricing on gross profit?$47.8Kmodeleddirectional
Item-level price-elasticity vs cost-plus, controlled price test on the top menu.
05Does salad-first onboarding lift 2nd-order retention?$31.0Kmeasuredmeasured · n=12 · 4-wk
Measured: 6 vs 6 matched controls · +9.2% 2nd-order retention · +6.1% net sales · signups held.
06Can rewarding staff with higher 1st→2nd-order conversion lift repeat rate?$21.6Kmodeleddirectional
Per-server 1st→2nd attribution. Guardrail: tests training, not individuals, with no per-person scoring.

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