Adepta
All Work

Spec System · A-13 · v0.4

Plainly

Make acquisition obey the kitchen, not just the algorithm.
Data & AutomationMeal deliveryFlow Field
ADEPTA LAB / RUNNING9962 / ADAPTED
Flow Fieldv0.4 / LAB
MONEY PATHCALM
CONTROL
01 → 04
THE PROBLEM WE ADDRESSCan onboarding remove financial anxiety without hiding complexity?
01Modelled business scenarioCompany and figures are fictional
02Working mechanismFlow Field
03Modelled outcomeFor commercial orientation

MODELLED BUSINESS SCENARIO

Grow orders only where the kitchen can fulfil them profitably.

BUDGET$65,000 media / monthPERIOD10-week model
011.4 → 2.1Contribution ROAS
02+26%Four-week value
03−72%Waste from sold-out meals

Modelled with menu margin, stock and delivery-zone density.

BUSINESS MODEL

What is sold and where the problem starts.

01SCALEMulti-city meal delivery
02MARKETPoland, five cities
03PRODUCTReady meals and weekly plans
04REVENUE MODELOne-off orders and subscription
TASK

Grow profitable orders while respecting kitchen stock, delivery density and meal-level margin.

STARTING POINT

Campaigns optimized to purchase revenue and kept advertising sold-out or low-margin meals.

TARGET

Raise contribution ROAS above 1.9, keep first-order CPA below $24 and reduce wasted sold-out spend.

THE EXPERIMENT STORY

Advertising sold meals the kitchen could no longer make profitably.

This narrative uses a modelled scenario. The company, budget and outcomes are fictional; the diagnostic and operating logic show how a real engagement would unfold.
  1. 01
    01 / THE BRIEF

    The first symptom was not inside the ad account.

    A winning food image kept attracting orders after ingredient cost, delivery pressure and stock had changed. Marketing saw ROAS; the kitchen saw substitutions, late deliveries and margin disappearing one popular basket at a time.

    Multi-city meal delivery was selling ready meals and weekly plans across Poland, five cities. The model was one-off orders and subscription. On the surface, the brief sounded direct: Grow profitable orders while respecting kitchen stock, delivery density and meal-level margin.

    MODEL
    One-off orders and subscription
  2. 02
    02 / WEEK ONE

    Revenue illusion

    Campaigns optimized to purchase revenue and kept advertising sold-out or low-margin meals. The trap was that isolated metrics still looked acceptable: Menu ad CTR was 1.24%, menu cpc was $1.06, and first-order cpa was $31.

    Large baskets with expensive delivery could look better than they contributed. That changed the diagnosis. The issue was not one toggle inside an ad account; it was what the system counted as success and which signal reached the team. The work had to connect media to the outcome that actually created business value.

    First-order CPA
    $31 → <$24
  3. 03
    03 / THE TURN

    Connect creative rotation and media spend to menu availability, contribution margin and delivery capacity.

    The first decision was “Margin feed.” Connect meal contribution, stock and kitchen capacity to campaign data. It was followed by “Zone density”: Set customer-cost limits by delivery zone and route density.

    Calculated contribution after ingredients, discounts, delivery and media. Once the measurement logic was shared, the team could see what to stop, what needed a different message, and where the real constraint sat in the page, lead handling or product availability rather than traffic.

    FIRST DECISION
    Margin feed
  4. 04
    04 / THE BUILD

    Dinner solved before the commute ends: show the exact use moment and meal, not a generic food montage.

    Dinner solved before the commute ends: show the exact use moment and meal, not a generic food montage. The production plan became 20 meal videos, 40 statics, four need-state pages and dynamic menu cards. The tests were not about abstract taste; they covered time saved, price per serving, family choice, calorie clarity, texture and next available delivery.

    The journey was assembled as one chain: Need-state ad → Available menu → Profitable order → Four-week value. Meta, Google Search, TikTok, App campaigns no longer lived in separate reports, while GA4, Order system, AppsFlyer, BigQuery, Metabase connected spend, behaviour and the final outcome. Added near-real-time availability and fallback creative for substitute meals.

    SYSTEM
    4 channels · 5 tools
  5. 05
    05 / THE DECISION

    Food growth is not the number of orders. It is the number of good orders the operation can deliver well.

    In the model, menu ad ctr moved from 1.24% to 2.03%, first-order cpa from $31 to $22, and sold-out waste reached $2.3k. These are not promises; they make the decision thresholds explicit before real data enters the system.

    Weeks 8–10: Scale by contribution and capacity. The main conclusion reached beyond a single campaign. Growth came from advertising what the kitchen could fulfil profitably, not everything it could technically sell. That is the logic a real engagement would retain, using the client's actual evidence, constraints and accountable decision makers.

    Sold-out waste
    $2.3k

KPI / CTR / CPC / CPA

Not one vanity percentage. The full metric chain.

Every figure in this section is modelled to demonstrate the scenario economics.
01Menu ad CTR
BEFORE
1.24%
TARGET
1.80%
MODEL
2.03%

Meal appeal

02Menu CPC
BEFORE
$1.06
TARGET
<$0.82
MODEL
$0.74

Cost of menu visit

03First-order CPA
BEFORE
$31
TARGET
<$24
MODEL
$22

Customer acquisition

04Contribution ROAS
BEFORE
1.4
TARGET
>1.9
MODEL
2.1

Profit-aware return

05Sold-out waste
BEFORE
$8.4k
TARGET
<$3k
MODEL
$2.3k

Avoidable media spend

STRATEGY

Four decisions that change the economics.

  1. 01
    Margin feed

    Connect meal contribution, stock and kitchen capacity to campaign data.

  2. 02
    Zone density

    Set customer-cost limits by delivery zone and route density.

  3. 03
    Need-state menus

    Build routes for office lunch, family dinner, calorie plan and fast repeat.

  4. 04
    Value optimization

    Return order contribution and four-week value into bidding.

CREATIVE IDEA

Dinner solved before the commute ends: show the exact use moment and meal, not a generic food montage.

PRODUCTION

20 meal videos, 40 statics, four need-state pages and dynamic menu cards.

WHAT WE TEST

Time saved, price per serving, family choice, calorie clarity, texture and next available delivery.

PATH TO OUTCOME

  1. 01Need-state ad
  2. 02Available menu
  3. 03Profitable order
  4. 04Four-week value

WHAT DID NOT GO TO PLAN

Problems are part of the work. So are the fixes.

01

Revenue illusion

PROBLEM

Large baskets with expensive delivery could look better than they contributed.

FIX

Calculated contribution after ingredients, discounts, delivery and media.

02

Stock lag

PROBLEM

Campaign feeds updated slower than the kitchen sold out.

FIX

Added near-real-time availability and fallback creative for substitute meals.

OPERATING CADENCE

What happens while the project runs.

  1. 01Weeks 1–2

    Join orders, margin and delivery zones.

  2. 02Weeks 3–4

    Build dynamic menu creative.

  3. 03Weeks 5–7

    Launch need-state routes.

  4. 04Weeks 8–10

    Scale by contribution and capacity.

MAIN TAKEAWAY

Growth came from advertising what the kitchen could fulfil profitably, not everything it could technically sell.

This demonstrates how we think — it does not fabricate a case study.

This is not a client result; the numbers are sample data. For your project, we adapt the solution, tools and measurement to the task and budget.

Discuss a Similar Solution
Plainly — Adepta Experiment