Showmax Case Study – Advelto
Showmax Case Study

How Strategic Paid Media Delivered 88% YoY Growth in sVOD

Sustainable growth in streaming comes from a system — product, data, content, and media aligned. In South Africa's $309M VOD market growing 12.5% YoY, Showmax achieved 44% overall and 88% digital YoY growth. Here's how.

Showmax vs. sVOD Market

Year-Over-Year Growth

SA VOD Market
12.5%
Showmax (All Channels)
44%
Showmax (Digital Only)
88%
3.5×
Showmax vs.
sVOD market
Digital Marketing vs
sVOD market
Market Context

Knowing the South African Market

A young, mobile-first audience with zero tolerance for waste.

64M
Population
79%
Internet Penetration
28.7
Median Age
$16.23
VOD ARPU

80–90% of traffic is mobile. 41% use ad blockers. POPIA consent rates sit at 70%. Payments split across debit cards, mobile money, and cash. Your tracking sees a fraction of reality — so we built for it: sub-6-second videos, mandatory captions, placement-native formats, and server-side tracking.

Measurement

Building Measurement Maturity

Platform vanity metrics mislead. We rebuilt measurement from the ground up to see what actually drives revenue and new subscribers.

Ad blockers, low consent, and browser restrictions meant massive data loss. Gift vouchers and partner deals inflated attribution. And the cheapest plan looked best on paper — until you factored in LTV and churn.

Server-Side Tracking

Conversion deduplication and enhanced conversions. The uplift showed in BI through new MRR.

The Voucher Fix

Excluded gift vouchers and partner deals from attribution. The gap between platform reporting and BI shrank significantly.

LTV over CAC

Mobile won on ROI and CAC — on paper. But All Devices crushed it on LTV. We shifted from Max Conversion Value to tROAS, optimizing for real business revenue.

Optimizing for ROI alone is optimizing blind. The gap between dashboard performance and business reality is where budgets bleed. Always follow business metrics, optimize for LTV, whenever possible. The metric you ignore is the one that costs you the most. The focus on LTV was essential for success.

Step 1
The ROI View
What the dashboard showed
Plan A
CACMRRROI
Plan B
CACMRRROI
Plan B wins on ROI & CAC →
Step 2
Add Churn & LTV
What the business actually saw
Plan A
CACMRRROIChurnLTV
Plan B
CACMRRROIChurnLTV
✓ Plan A wins on LTV
Customer Quality

New Customers vs. Reconnects

Growth comes from growing market share with new additions — not recycling churned users the algorithm prefers instead of new ones.

Post-Rebrand
90%+
New customers
NewReconnects
Algorithm
drift
Months Later
60/40
New vs. reconnects
NewReconnects
Deep Analysis
We identified what brought new additions and what caused churn — broken down by channel, campaign type, audience, creative, content, and plan.
Cut the Waste
We cut everything that didn't contribute to new additions — recent churners, irrelevant targeting, underperforming formats, channels, and brand search that mostly captured returning users.
Focused on What Worked
We doubled down on the tactics that drove the most new additions — the ones that truly grew market share, not the ones that recycled existing users.

Byron Sharp's Double Jeopardy Law is clear — loyalty is a function of market share. Growth comes from genuinely new additions, not recycling churned users. By focusing on market penetration over winback, we got the ratio back.

The Hidden Data

PMAX vs. Demand Gen

We nearly killed our best performer by not having the right metric.

Demand Gen looked like a clear winner. 20% lower blended CPA, getting 3x PMAX's budget.
The obvious move was to scale it further. Then we separated new customers from reconnects and then we were shocked. The algorithm was pushing for the easiest conversions, churned customers. It turned out, that PMAX was actually outperforming other channels by far in terms of new customers.

Demand Gen
-20%
Lower blended CPA
Winner on the paper
vs
PMAX
-48%
Lower cost per new customer
✓ True winner

PMAX allocated 80%+ budget to YouTube, driving new customer demand through video storytelling. Proper rebalancing delivered a 12% ROI increase.

We nearly killed our best performer by not having the right metric at our disposal.

Timing

Seasonality Intelligence

Local patterns outperformed smart bidding. We built systems around how South Africans actually live and spend.

Historical data showed conversion rates varied by day. Thursdays and Saturdays performed best. We built a custom budget script: Monday at 70%, scaling up to Saturday at 150%. Smart bidding and seasonal adjustments couldn't replicate it.

+6%
Subscribers increased 6% from the custom day-of-week budget script alone.
-10–20%
CPA dropped 10–20% during payweek (25th–5th) with 50–100% budget increases.

Local seasonality beats automation. Pay cycles, weekday patterns, and cultural moments outperformed smart bidding every time.

Conversion

Landing Page Optimization

Psychology matters. Price anchoring with a 3-month plan beat any bidding tweak we tried.

We tested a curated landing page about House of the Dragon S2 with a price anchor element. The hypothesis: showing a 3-month plan price would use anchoring bias and make the 1-month plan feel cheaper. Two plans vs. more options including a 3-month plan.

Control
1.27%
Conversion rate
Two plans only
vs
Price Anchor Variant
2.14%
Conversion rate
Including 3-month plan
+68.91% lift

A 68.91% conversion rate lift from a single pricing psychology change — no extra ad spend, no bidding adjustments, just by going beyond ads and optimizing one more touchpoint.

Campaign

The House of the Dragon Campaign

Short-term subscription acquisition for a single premium title — in a saturated market where competitors promoted the same show with bigger budgets.

Conversion optimization alone couldn't win. Internal data showed that demand for premium titles exists before it's captured, performance channels saturate quickly, and subscriptions depend on pre-existing intent. The strategy: create demand first, then harvest it.

85%
Awareness
15%
Performance

We targeted efficient reach at 4–6 frequency across YouTube, Meta, TikTok, DV360, and direct placements. The campaign phased from pre-launch tease to scaled launch to sales activation. The 15% performance layer harvested demand created by the awareness push.

4× Completion Rate

Instant Experience delivered 4× higher completion rates and 15% lower cost per result.

Significant Brand Lift

Measurable uplift across awareness, favourability, and purchase intent.

Low Cross-Platform Overlap

Lower than expected overlap, reinforcing the value of multi-channel presence.

Demand creation precedes demand capture. The 85/15 split reflected how subscriptions are actually driven — you can't harvest intent you haven't built.

Conclusion

What It All Comes Down To

There's no winning ad without a winning system. Growth came from alignment across product, pricing, content, BI, and media.

Measurement Unlocks Performance

Server-side tracking, voucher exclusion, and LTV optimization shifted decisions from vanity metrics to real business impact.

Not All Conversions Are Equal

Separating new customers from reconnects nearly saved us from killing our best campaign type.

Algorithms Need Guardrails

Without guardrails, platforms drift toward low-effort conversions. You have to steer them toward real growth.

Demand Creation First

The 85/15 split reflected how subscriptions are actually driven. You can't capture intent you haven't built.

Local Beats Automation

Pay cycles, weekday patterns, and cultural moments outperformed smart bidding consistently.

Psychology Matters

Price anchoring with a 3-month plan beat any bidding tweak we tried. A 68.91% conversion lift.

Creative Excellence

Every creative built natively for each placement — sub-6-second videos, mandatory captions, format-specific assets. No repurposed TV ads. In a mobile-first market with limited data, you get two seconds to hook someone.

Efficient Reach

Targeted 4–6 frequency across channels — not too low to be forgotten, not too high to waste budget. The sweet spot that drove ad recall, consideration, and measurable purchase intent lift.

In one of the most competitive streaming markets in the world. Not by finding one lever, but by building a system where every lever works harder.

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