SVEN

diagnosverktyg

How we shifted from reach to relevance and quadrupled the conversion rate for advanced technical equipment.

growth

+112%

sales

profit

+112%

roas

conversions

+428%

conversionrate

The
problem

'

Budget Leakage on Window Shoppers: A massive chunk of ad spend was wasted on broad, low-intent traffic merely browsing for information.

'

Attribution Decay Over Time: Extended buying cycles for high-ticket technical gear were blinded by short cookie lifespans, causing the algorithms to lose track of high-value buyers.

'

Muddled Audience Segmentation: Campaigns failed to isolate commercial auto repair shops (B2B) from DIY consumers (B2C), diluting ad relevance across the board.

KATALOG
—
KREATIV
—
skantz
—
teknik
—
OPTIMERING
—
STRATEGI
—
DATA
-
ROAS
—
KATALOG
—
KREATIV
—
skantz
—
teknik
—
OPTIMERING
—
STRATEGI
—
DATA
—
ROAS
—

The solution

01 / Intent-Driven SEM Architecture

We purged all broad and generic keywords from Google Ads. Instead, we locked the budget strictly onto high-intent search queries signaling immediate buying readiness, streamlining traffic directly to the most profitable products.

02 / Surgical Audience Segmentation

By analyzing historical purchasing behavior, we split marketing efforts into two completely distinct tracks. Tailoring dedicated messaging for commercial mechanics versus DIY enthusiasts dramatically heightened precision and engagement.

03 / First-Party Data Infrastructure

We migrated tracking to server-side to maintain visibility across extended decision cycles. This fed the platform algorithms an unpolluted, raw data stream, optimizing bids directly toward genuine buyers.

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'));
>

Catalog segmentation

Intent-based keyword architecture

Server-side tracking

B2B and B2C audience segmentation

creatives

Up to 16 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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