neuroförbundet

How we optimized a full-funnel architecture, sharpened creative assets, and slashed member acquisition cost in half.

growth

-51%

cpa

click

-10%

cpc

views

-11%

cpm

The
problem

Vague Messaging: Standard organizational assets lacked concrete copy and clear Call-to-Actions (CTAs), preventing engagement from maturing into actual memberships.

Unstructured Funnel: Campaigns lacked isolated funnel logic, making it impossible to control and optimize budget based on where users were in their decision journey.

Static Advertising: Creative assets were never tested in live environments, obscuring which visual formats and messaging angles actually drove peak performance.

KATALOG

—

KREATIV

—

neuro

—

forskning

—

OPTIMERING

—

STRATEGI

—

DATA

ROAS

—

KATALOG

—

KREATIV

—

neuro

—

forskning

—

OPTIMERING

—

STRATEGI

—

DATA

—

ROAS

—

The solution

01 / Three-Tier Full-Funnel Architecture

We restructured the account into three isolated campaigns—one for each funnel stage. By optimizing each campaign independently against dedicated metrics (Reach, Landing Page Views, and CPA), we gained full command over the user journey.

02 / Creative Evolution & Copy Focus

Starting with Neuroförbundet’s existing assets, we leveled them up using our performance best practices. We introduced razor-sharp messaging, explicit CTAs, and challenged conventional visuals by testing text-only minimalist ad formats to drive maximum relevance.

03 / Algorithmic Ad-Set Competition

We deployed a framework where multiple creative variants competed head-to-head in real time within isolated ad sets. By continuously analyzing performance data, we quickly killed budget bleeds and scaled only the assets that actually moved the needle. With an optimized full-funnel architecture and sharpened creative assets, Neuroförbundet slashed member acquisition cost in half.

import { MMM } from 'zkond-core';
const engine = new OptimizationEngine();
// Analyserar Google Ads Performance...
engine.analyze('ROAS', '7.2x');
if (engine.status === 'ready') {
  engine.applyScale(Math.PI * 2);
}
console.log("CR: +12.5% | Sales: +185%");
function syncPixels(cid) {
  return cid.map(t => t.value);
}
// Running deep-link validation...
let data = MMM.fetchMatrix('Q3_DATA');
const config = { mode: 'aggressive' };
data.process(config);
// Fetching GA4 Realtime API stream...
const ga4Stream = await fetch('/api/ga4/stream');
const metrics = await ga4Stream.json();
if (metrics.bounceRate < 0.25) {
  budget.allocate('Meta Ads', 0.40);
}
/* Executing Machine Learning Attribution Modeling */
const model = new DataDrivenModel();
model.train(metrics.historicalData);
console.log(`Attribution confidence: ${model.score * 100}%`);
const webhookUrl = "https://zkond.se/hooks/v1";
await axios.post(webhookUrl, { status: "OPTIMIZED" });
// Cleaning temporary caching matrices...
Cache.clear(['temp_roas', 'temp_cpa']);
let activeCampaigns = engine.getRunning();
activeCampaigns.forEach(c => c.refreshBid());
console.warn("High CPA detected on TikTok Ads - adjusting.");
engine.throttle('tiktok_pixel_01', 0.85);
// Optimering slutförd. System stabiliserat.
window.dispatchEvent(new Event('ZKOND_SYNC'));
import { MMM } from 'zkond-core';
const engine = new OptimizationEngine();
// Analyserar Google Ads Performance...
engine.analyze('ROAS', '7.2x');
if (engine.status === 'ready') {
  engine.applyScale(Math.PI * 2);
}
console.log("CR: +12.5% | Sales: +185%");
function syncPixels(cid) {
  return cid.map(t => t.value);
}
// Running deep-link validation...
let data = MMM.fetchMatrix('Q3_DATA');
const config = { mode: 'aggressive' };
data.process(config);
// Fetching GA4 Realtime API stream...
const ga4Stream = await fetch('/api/ga4/stream');
const metrics = await ga4Stream.json();
if (metrics.bounceRate < 0.25) {
  budget.allocate('Meta Ads', 0.40);
}
/* Executing Machine Learning Attribution Modeling */
const model = new DataDrivenModel();
model.train(metrics.historicalData);
console.log(`Attribution confidence: ${model.score * 100}%`);
const webhookUrl = "https://zkond.se/hooks/v1";
await axios.post(webhookUrl, { status: "OPTIMIZED" });
// Cleaning temporary caching matrices...
Cache.clear(['temp_roas', 'temp_cpa']);
let activeCampaigns = engine.getRunning();
activeCampaigns.forEach(c => c.refreshBid());
console.warn("High CPA detected on TikTok Ads - adjusting.");
engine.throttle('tiktok_pixel_01', 0.85);
// Optimering slutförd. System stabiliserat.
window.dispatchEvent(new Event('ZKOND_SYNC'));



Full-funnel Meta Ads architecture



Systematic creative A/B testing engine



Goal-driven ad-set structure (Reach/LPV/CPA)



Real-time data-driven budget allocation



creatives

Up to 24 unique creative assets running simultaneously.

Wondering what we can do for you?

We offer a free audit—a deep-dive analysis of your accounts that exposes concrete roadblocks and outlines clear optimizations. What you do with it after is entirely up to you.

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