Connected TV: The missing piece supercharging your retail strategy
Mainstream viewing is shifting to streaming, and it is happening on the biggest screen in the house. Connected TV (CTV) is no longer a “test and learn” experiment, it is becoming a core coverage layer in every brand’s advertising pipeline. In the UK, Ofcom puts primary-set readiness for online TV at 86%, which is a strong signal that internet-delivered viewing is now the default household set-up.
The most common pushback from stakeholders is that CTV is purely an awareness lever: expensive, difficult to prove, and therefore hard to justify as an always-on channel. That is an outdated lens. CTV has evolved and earned its place in full-funnel retail strategies because it is now bought and managed with performance controls. Advertisers can select specific inventory and environments, apply refined targeting set-ups (for example, frequency caps and in-stream placements), and optimise to cost efficiency through CPM management, then connect exposure back to measurable business signals.
CTV as a performance tool
As consumer purchasing behaviour becomes more multi-layered, multiple exposures across different touchpoints are often needed to move someone from consideration to conversion. The most effective use of CTV is therefore less about generating awareness in isolation, and more about intercepting latent intent earlier in the customer journey. In practice, that means designing CTV creative to trigger a second-screen action (search, QR scan, site visit, or app open), and then capturing and re-engaging those users across other channels with targeted messaging to close the loop.
Different funnel stages need different performance levers, but the goal is the same: turn viewing into measurable progress through the customer journey. This is where frequency becomes a performance tool. Left unmanaged, frequency can burn budget by repeatedly serving the same household, and household-level delivery can also introduce inaccuracy as multiple people may share a TV, which can dilute demographic precision. With controlled frequency, you increase effective reach (more unique households exposed), reduce fatigue, and create space for sequential messaging (brand story, UGC, product proof) that moves audiences from intent to conversion.
What makes this sustainable for brands is that the programmatic ecosystem has matured. DSPs and streaming platforms have improved the underlying infrastructure behind CTV: stronger household-level signals, privacy-safe analysis through data clean rooms, and measurement frameworks that make it easier to understand what CTV contributes beyond video completion. Forecasting and optimisation tools also help advertisers plan and adjust against the KPI that matters, rather than treating CTV as a fixed “reach buy” with uncertain outcomes.
The three-layer approach to performance CTV
CTV works best when targeting is layered in a deliberate order. The pace of moving between layers is not fixed: it should reflect your category dynamics (purchase cycle, seasonality, consideration time), brand maturity (awareness base, creative depth), and the budget you have deployed to generate statistically useful learnings.
Layer 1: Scale (context + content) – find new interest efficiently
Start broad using contextual and content signals (what people are watching, genre, daypart, programme environment) to reach incremental households at efficient CPMs. This is where you build coverage and introduce the brand or category problem, without over-restricting delivery.
Layer 2: Relevance (first party + retailer audiences) – sharpen intent
Once you have coverage, add audiences built from first-party or retailer signals (for example, in-market behaviours, category shoppers, lifestyle segments). The goal here is not to shrink reach, but to make impressions more meaningful by aligning the message to likely needs, while still maintaining enough scale to learn.
Layer 3: Conversion (sequential + retargeting + suppression) – close the loop without waste
Use your most tightly defined audiences for sequential messaging and retargeting, where you can move customers from awareness to proof (UGC, claims, offer). Pair this with suppression groups (for example, existing purchasers or recently converted users) and tighter frequency caps to reduce wasted frequency and keep incremental reach high.
This structure keeps CTV performant: broad enough to grow incremental reach, precise enough to stay relevant, and disciplined enough at the bottom to drive outcomes without burning budget.
Amazon as the omnichannel “performance unlock”
Amazon’s role in CTV performance is that it connects premium video exposure to measurable shopping outcomes using its first-party signals and retail telemetry. The UK-facing Amazon Ads experience explicitly positions activation on “shopping, streaming, and browsing” signals, including brands that do not sell directly on Amazon, hence importance for omnichannel brands that still want commerce-grade measurement.
Crucially, Amazon has also built the privacy-safe analytics layer that makes “CTV → commerce” operational at scale. Amazon Marketing Cloud (AMC) functions as a clean room environment where advertisers can analyse aggregated, permissioned signals across Amazon Ads touchpoints, build conversion paths, and quantify mid-funnel actions (for example, detail page views and add-to-cart) alongside lower-funnel outcomes, without needing to move or expose user-level data. In practice, AMC is what turns streaming/CTV from a top-of-funnel line item into a measurable contribution within a broader retail media system.
Make CTV a repeatable growth engine
The ultimate question to ask yourself is not whether CTV belongs in the advertising mix, but whether your CTV plan is built to earn renewal. Plan backwards from the outcomes you can prove, manage frequency like a performance lever, and connect CTV to the channels that capture demand. That is how CTV becomes a growth engine rather than a one-off awareness burst.
For advertisers, the takeaway is straightforward: treat CTV as a full-funnel growth channel, build it to demonstrate incremental impact, and choose an operating model – DSP-led, agency-led, or retail-network-led that matches your measurement maturity.