Adepta
All Work

Experimental Build · A-19 · v0.4

Grain

Find the exact moment financial intent becomes trust.
Data & AutomationPersonal financeSonic Waveform
ADEPTA LAB / RUNNING6019 / ADAPTED
Sonic Waveformv0.4 / LAB
SONIC SIGNATUREGRAIN / 07.4s
THE PROBLEM WE ADDRESSCan product sound become a measurable creative signature?
01Modelled business scenarioCompany and figures are fictional
02Working mechanismSonic Waveform
03Modelled outcomeFor commercial orientation

MODELLED BUSINESS SCENARIO

Know which ads create an active financial user, not just a signup.

BUDGET$110,000 media / monthPERIOD14-week model
01$73 → $49Activated-user CPA
02+37%Account connected
03+24%D30 active value

Modelled from ad click through account connection and first insight.

BUSINESS MODEL

What is sold and where the problem starts.

01SCALELarge personal-finance app
02MARKETUnited States
03PRODUCTAccount aggregation and financial insights
04REVENUE MODELSubscription with fintech partnerships
TASK

Acquire users who connect an account and become active, not registrations that never see an insight.

STARTING POINT

Campaigns optimized to signup because account connection and D30 value were not returned to ad platforms.

TARGET

Keep activated-user CPA below $52 and improve account connection and D30 active value.

THE EXPERIMENT STORY

Registrations looked healthy. Most users never trusted the app with an account.

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.

    Campaigns were trained on the easiest event in the product. They found people willing to create a password, not people willing to connect financial data and return for a useful insight. The cheapest signup concealed the most expensive abandonment.

    Large personal-finance app was selling account aggregation and financial insights across United States. The model was subscription with fintech partnerships. On the surface, the brief sounded direct: Acquire users who connect an account and become active, not registrations that never see an insight.

    MODEL
    Subscription with fintech partnerships
  2. 02
    02 / WEEK ONE

    Registration vanity

    Campaigns optimized to signup because account connection and D30 value were not returned to ad platforms. The trap was that isolated metrics still looked acceptable: Problem ad CTR was 0.76%, store cpc was $1.64, and activated-user cpa was $73.

    Easy signup hid the largest loss at account connection. 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.

    Activated-user CPA
    $73 → <$52
  3. 03
    03 / THE TURN

    Define activation as trust plus first value, then return that signal and predicted D30 quality to media.

    The first decision was “Define activation.” Use connected account plus first useful insight as the meaningful event. It was followed by “Problem routes”: Create overspending, subscription leak, debt and saving narratives.

    Moved reporting and bidding to activated-user CPA. 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
    Define activation
  4. 04
    04 / THE BUILD

    Find the money already leaving: reveal one invisible cost, then show the app catching it.

    Find the money already leaving: reveal one invisible cost, then show the app catching it. The production plan became 8 problem films, 24 statics, 4 store sets and a trust-led onboarding sequence. The tests were not about abstract taste; they covered subscription leak, spending pattern, safety proof, first insight, savings goal and family finances.

    The journey was assembled as one chain: Financial problem ad → Trust-led install → Account connection → D30 active user. Meta, TikTok, Google App Campaigns, Apple Ads, Reddit no longer lived in separate reports, while AppsFlyer, Amplitude, Plaid, BigQuery, Prediction model connected spend, behaviour and the final outcome. Showed the first potential insight, permission scope and security proof before the connection screen.

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

    A signup has no commercial meaning until the user crosses the trust barrier and receives something useful back.

    In the model, problem ad ctr moved from 0.76% to 1.39%, activated-user cpa from $73 to $49, and d30 active value reached +24%. These are not promises; they make the decision thresholds explicit before real data enters the system.

    Weeks 11–14: Scale activated-user value. The main conclusion reached beyond a single campaign. A registration had no commercial meaning until the user trusted the app with an account and received a useful insight. That is the logic a real engagement would retain, using the client's actual evidence, constraints and accountable decision makers.

    D30 active value
    +24%

KPI / CTR / CPC / CPA

Not one vanity percentage. The full metric chain.

Every figure in this section is modelled to demonstrate the scenario economics.
01Problem ad CTR
BEFORE
0.76%
TARGET
1.20%
MODEL
1.39%

Financial-problem fit

02Store CPC
BEFORE
$1.64
TARGET
<$1.25
MODEL
$1.11

Cost of app intent

03Activated-user CPA
BEFORE
$73
TARGET
<$52
MODEL
$49

Meaningful acquisition

04Account connected
BEFORE
42%
TARGET
>52%
MODEL
58%

Activation

05D30 active value
BEFORE
Base
TARGET
+18%
MODEL
+24%

Longer-term quality

STRATEGY

Four decisions that change the economics.

  1. 01
    Define activation

    Use connected account plus first useful insight as the meaningful event.

  2. 02
    Problem routes

    Create overspending, subscription leak, debt and saving narratives.

  3. 03
    Trust sequence

    Explain permissions, security and read-only access before account connection.

  4. 04
    pLTV bidding

    Predict D30 value from connection, first insight and week-one return.

CREATIVE IDEA

Find the money already leaving: reveal one invisible cost, then show the app catching it.

PRODUCTION

8 problem films, 24 statics, 4 store sets and a trust-led onboarding sequence.

WHAT WE TEST

Subscription leak, spending pattern, safety proof, first insight, savings goal and family finances.

PATH TO OUTCOME

  1. 01Financial problem ad
  2. 02Trust-led install
  3. 03Account connection
  4. 04D30 active user

WHAT DID NOT GO TO PLAN

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

01

Registration vanity

PROBLEM

Easy signup hid the largest loss at account connection.

FIX

Moved reporting and bidding to activated-user CPA.

02

Trust drop

PROBLEM

Users saw bank permissions before understanding the benefit and safety.

FIX

Showed the first potential insight, permission scope and security proof before the connection screen.

OPERATING CADENCE

What happens while the project runs.

  1. 01Weeks 1–3

    Define activation and D30 cohorts.

  2. 02Weeks 4–6

    Build problem creative and trust flow.

  3. 03Weeks 7–10

    Launch and train value model.

  4. 04Weeks 11–14

    Scale activated-user value.

MAIN TAKEAWAY

A registration had no commercial meaning until the user trusted the app with an account and received a useful insight.

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.

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Grain — Adepta Experiment