Cquenc
Case Studies / Betta Home Living
Home Appliances · Omni-Channel · Retail

95% revenue growth.
Zero extra budget.

Betta Home Living needed explosive growth in a cut-throat market — 36% YoY online revenue and 35% more in-store footfall — with no increase in marketing spend. We deployed a smart, AI-powered omni-channel strategy across SEM, SEO, CRO and Local search that didn’t just hit the targets. It smashed them.

HOME APPLIANCES · OMNI-CHANNEL 95% Revenue Zero Extra Budget Apr 2019 – Mar 2020 AI-powered omni-channel strategy across SEM, SEO, CRO and Local. Targets set. Then smashed. +95% Online Revenue +78% Store Footfall 4.3× LTV:CAC Ratio CQUENC · PREDICTIVE GROWTH YEAR-ON-YEAR PERFORMANCE APR 2019 – MAR 2020 · ZERO BUDGET INCREASE Online Revenue +95% Store Footfall +78% Transactions +53% Conversion Rate +24% CAC Reduction −42% LTV Increase +38% “Targets set. Then smashed — with not a single extra dollar spent.”
+95%
Online Revenue Growth
YoY · Apr 2019 – Mar 2020
+78%
In-Store Footfall
YoY growth via Local SEO
−42%
CAC Reduction
More efficient acquisition
4.3×
LTV:CAC Ratio
Up from 2.1× at engagement
The Challenge

Explosive growth. Not a single extra dollar.

Betta Home Living faced a challenge most brands dread: aggressive growth targets with a frozen marketing budget. They needed 36% YoY growth in online revenue and 35% more in-store footfall — in a brutally competitive home appliances market where every competitor was spending more.

Home appliances are high-involvement purchases. Shoppers research extensively online — weighing features, prices, energy costs and brands for products they’ll keep up to a decade. The brand that wins the research phase wins the sale. We built for that.

The Insight

The window to win isn’t at the point of purchase — it’s during the long research journey beforehand. Own the consideration phase across search, local and content, and you don’t need more budget. You need smarter intent architecture.

What We Did

AI-powered omni-channel, rebuilt around intent.

AI-driven SEM migration & intent restructureMigrated to advanced AI-powered bidding and rebuilt campaign structures around buyer intent signals. Ad spend became dramatically more efficient — more conversions, lower CPCs, better targeting across every stage of the funnel.
SEO & Local SEO overhaulFull technical SEO rebuild combined with a Local SEO push that put Betta stores front-and-centre in high-intent “near me” searches. Organic traffic grew 35% — a compound channel that costs nothing to scale once it’s live.
Continuous AI-powered CRORan ongoing AI-assisted A/B testing across product pages, category pages and checkout flows. Conversion rate lifted 24% and average basket size grew 27% — turning existing traffic into significantly more revenue without spending a cent extra on acquisition.
LTV & retention architectureBuilt post-purchase journeys that drove repeat purchase behaviour and increased customer lifetime value by 38%. Combined with a 42% CAC reduction, the LTV:CAC ratio jumped from 2.1× to 4.3× — the true measure of sustainable, profitable growth.
Full Results · Apr 2019 – Mar 2020
Online Revenue+95%
In-Store Footfall+78%
Total Transactions+53%
Unique Traffic+27%
Organic Traffic+35%
Conversion Rate+24%
Basket Size (AOV)+27%
Per-Session Value+55%
Return per Marketing $+65%
CAC−42%
Customer LTV+38%
LTV:CAC Ratio2.1× → 4.3×
★★★★★

“We needed to grow aggressively without spending more. Cquenc didn’t just hit the targets — they delivered results we genuinely didn’t think were possible on our budget.”

BH
Marketing Lead
Betta Home Living

Services deployed

Intent-led Media (AI SEM)
Predictive SEO & Local SEO
AI-powered CRO & A/B Testing
eCommerce & Retention Engine
Data & Signal Intelligence

The numbers at a glance

Budget increase$0
Online revenue growth+95% YoY
In-store footfall growth+78% YoY
LTV:CAC at start2.1×
LTV:CAC at end4.3×
Return per marketing $+65%

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Health & Wellness · DTC · AU/NZ

52% CAC reduction while scaling revenue 3.4×.

Predictive audience modelling. Email lifecycle rebuild. Media mix optimisation.

−52%
CAC
3.4×
Revenue Scale
+41%
Email Revenue
Read case study
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