Most Amazon PPC accounts are built on the same unspoken assumption: Sponsored Products is the engine, and everything else exists to support it. Sponsored Brands Video gets a sliver of budget — enough to say it’s being tested, not enough to actually pressure-test whether it should own a larger share. That assumption made complete sense in 2021. In 2026, it is quietly costing brands significant money every month they leave it unchallenged.
The economics of Amazon search have shifted. Sponsored Products CPCs have climbed roughly 48% cumulatively since 2019, with competitive categories absorbing 10–15% annual increases that in some verticals reach 25–35% year-over-year. More budget into SP no longer reliably buys more proportional reach or sales. Instead, it increasingly buys position maintenance — defending placements brands already hold against competitors willing to outspend them by a few cents more per click.
Sponsored Brands Video, meanwhile, has moved from experimental format to dominant Sponsored Brands strategy. Advanced accounts now route 80–95% of their SB spend into SBV, and aggregate data from Q1–Q2 2026 shows SBV delivering approximately 1.6× the click-through rate and 1.3× the conversion rate of static Sponsored Brands. New-to-brand customer acquisition data — which SP campaigns simply cannot surface — reveals an entirely different story about where incremental growth is actually coming from.
The question in 2026 is not whether video should take more of your search budget. The question is when — and what signals, metrics, and structures should govern that decision. This post works through all of it.
The CPC Squeeze: What’s Actually Happening to Sponsored Products Economics
Before you can make a rational case for moving budget out of Sponsored Products, you need to understand exactly what those rising CPCs are buying — and, more importantly, what they are no longer buying at the margin.
The cost trajectory since 2019
Amazon’s auction model for Sponsored Products has compressed advertiser efficiency consistently over the past several years. CPCs that averaged under $0.90 in many categories in 2019 now commonly land between $1.05 and $1.65 across mid-competition verticals, with high-competition categories — consumer electronics, supplements, home goods — pushing well beyond $2.00 for top placements on core keywords.
The cumulative 48% CPC increase across the SP ecosystem since 2019 is not evenly distributed. Branded and category-defining keywords have absorbed the steepest increases, because these are the terms where auction pressure concentrates. Every established brand in a category is bidding on the same short-tail terms. The winner pays more than they did last year for the same position, and the loser goes back to the drawing board to figure out whether to overspend on defensive bidding or accept the erosion.
What diminishing marginal returns looks like in practice
Diminishing returns in SP aren’t always visible in the headline ROAS number — which is precisely why they’re dangerous. A Sponsored Products campaign can show a stable 4× ROAS while every additional dollar of budget added to it earns a 2× marginal return. The average looks fine. The marginal reality is quietly terrible.
The clearest symptom is budget utilization behavior: campaigns that used to run out of budget by 11am now pace through the full day without exhausting their allocation, yet conversion volume hasn’t increased proportionally. This pattern signals that the algorithm is spending more carefully because incremental impression opportunities at acceptable CPCs are genuinely scarce. More budget cannot create more qualified search intent. It can only compete more aggressively for the intent that already exists — which, in a saturated category, means paying more to reach audiences that have already been heavily targeted.
Position defense is not growth
There is an important distinction between SP spend that acquires customers and SP spend that defends position. When a brand has established organic rank on its core keywords and runs SP to maintain those placements against competitor conquesting, a significant portion of that budget is effectively insurance rather than acquisition. That’s not inherently wrong — competitive defense has real value. But treating defensive SP spend and growth-oriented SP spend as a single undifferentiated pool is what causes accounts to chronically underinvest in formats that can actually expand the customer base.
Recognizing the split between defensive and acquisitive SP spend is the first analytical step toward a rational SBV rebalancing conversation.
SBV vs. SP: Understanding What Each Format Is Actually Buying You
The mistake most advertisers make when comparing Sponsored Brands Video to Sponsored Products is treating them as substitutable formats competing for the same objective. They are not. They operate at different points in the shopping funnel, they deliver different types of value, and they should be evaluated on different metrics. Conflating them in a single ROAS comparison produces misleading conclusions in both directions.
What Sponsored Products is purpose-built for
Sponsored Products is, fundamentally, an intent-capture engine. When a shopper types “noise cancelling headphones under $100” into Amazon’s search bar, SP intercepts that expressed, bottom-of-funnel intent and places your product in front of someone who has already decided what category they’re buying from and roughly what they’re willing to spend. The conversion efficiency is high because the qualification work has already been done by the shopper’s own search behavior.
This is why SP consistently posts higher direct ROAS than SBV in last-click attribution models. It’s not that SP is better at advertising — it’s that SP is fishing in a pond stocked with fish that are already hungry. The format deserves credit for execution, but the underlying demand isn’t being created by the ad. It existed before the ad appeared.
The ceiling of SP efficiency is therefore largely determined by the volume of existing search intent in your category. Once you’ve captured the efficient portion of that intent, additional SP spend competes for diminishing returns: lower-intent queries, less-qualified audiences, and expensive defensive placements.
What Sponsored Brands Video is actually doing
SBV operates differently. It appears in the search results environment — same page, same intent context — but it functions more like an awareness and consideration tool than a pure intent-capture mechanism. The video format interrupts the browsing session in a way that a static text-and-image ad cannot. It communicates product context, brand story, and key differentiators within the first three seconds of autoplay, before the shopper has consciously decided to engage.
That interruption capability is what produces SBV’s 1.6× CTR advantage over static Sponsored Brands. Shoppers who weren’t specifically looking for your brand get pulled into an evaluation they might otherwise have skipped. And because video conveys more information faster than a static thumbnail, the shoppers who do click arrive at the product detail page better informed — which supports the 1.3× CVR lift relative to static formats.
Critically, SBV’s impact doesn’t stop at the direct conversion. Amazon’s new-to-brand reporting — available for Sponsored Brands formats but not Sponsored Products — reveals that SBV consistently drives a higher proportion of NTB customers than SP. These are shoppers who had never purchased from your brand in the prior 12 months. They represent genuine incremental growth, not recapture of existing demand.
The attribution gap that makes SP look better than it is
Standard Amazon attribution assigns conversion credit to the last-clicked ad before purchase. In a typical multi-touch journey, a shopper might see a Sponsored Brands Video ad that introduces your brand, spend four days considering the purchase, and eventually convert through a Sponsored Products click on a branded keyword. The SP campaign gets the credit. The SBV campaign that initiated the journey shows zero.
This attribution structure systematically undervalues SBV’s contribution to overall account performance and overvalues SP’s apparent efficiency. Accounts that optimize exclusively on last-click ROAS will perpetually underinvest in the formats that drive top-of-funnel awareness — and then struggle to understand why their SP conversion rates gradually decline as branded search volume stagnates.
The NTB Advantage: Why Standard ROAS Comparisons Lie
New-to-brand metrics are one of the most underused data sets in Amazon advertising. They’re available for Sponsored Brands (including SBV) and Sponsored Display but absent from Sponsored Products entirely, which creates a structural information asymmetry that most advertisers never fully reckon with.
What NTB metrics actually tell you
Amazon defines a new-to-brand customer as someone who has not purchased from your brand in the previous 12 months. NTB metrics in the SBV reporting dashboard show you the number of NTB orders, NTB order revenue, NTB order rate, and the average NTB order value generated by your SBV campaigns.
These numbers are important for one specific reason: they represent the only reliable proxy for incremental demand creation in your Amazon advertising account. Existing customers who repurchase would have done so with or without your ad. New-to-brand customers, by contrast, represent expansion of your addressable customer base — growth that almost certainly would not have occurred without the advertising exposure.
A Sponsored Brands Video campaign showing a 2.5× direct ROAS with a 45% NTB order rate is delivering substantially more business value than its ROAS number suggests. A Sponsored Products campaign showing a 4.5× ROAS with a 12% NTB rate is largely servicing existing demand, not growing it. If you evaluate these two campaigns purely on ROAS, you’ll defund the one actually building your brand.
Long-Term Sales ROAS and incremental ROAS frameworks
Amazon has introduced Long-Term Sales ROAS (LTS ROAS) as an additional measurement layer, designed to estimate the incremental sales value of new-to-brand customers over a 12-month horizon after acquisition. The logic is straightforward: a customer acquired through SBV today may make five additional purchases over the next year. Attributing only the first purchase to the acquisition campaign dramatically understates its true economic contribution.
Advanced advertisers are increasingly building incremental ROAS (iROAS) frameworks that incorporate NTB acquisition rates, estimated customer lifetime value, and downstream organic purchase behavior. When you run this math, SBV’s apparent ROAS disadvantage relative to SP frequently disappears — and in high-repeat categories like consumables, supplements, or pet products, SBV often shows superior iROAS precisely because it acquires customers who hadn’t yet been reached by SP.
Practical NTB benchmarking
If you’re running SBV campaigns and haven’t established NTB benchmarks, start there before making any rebalancing decisions. Pull 90-day NTB order rate, NTB order revenue, and NTB customer acquisition cost (NTB ad spend ÷ NTB orders) from your SBV campaigns. Compare NTB CAC to your estimated first-order margin to establish whether SBV is acquiring customers profitably. Then factor repeat purchase rate into a 12-month LTV calculation to determine the true value of each NTB customer generated by SBV.
This analysis — not a surface-level ROAS comparison — is the analytical foundation for a defensible rebalancing decision.
Four Signals That Mean Video Should Take Search Budget
The rebalancing decision is not a one-time judgment call. It’s a diagnostic exercise that should be repeated at least quarterly, because the conditions that justify or contra-indicate a budget shift change as your account matures, your category evolves, and the auction dynamics shift. These four signals are the most reliable indicators that SBV deserves a larger share of your total PPC budget.
Signal 1: SP CPC rising faster than category average
When your Sponsored Products CPC is climbing 15% or more year-over-year on your core non-branded keywords, you’re experiencing auction pressure that additional budget cannot solve. You can’t bid your way out of a structurally expensive auction. At some threshold — different for every category and margin structure — incremental SP spend crosses from profitable to value-destroying, even if the headline ROAS looks acceptable.
The diagnostic is simple: calculate your marginal ROAS on SP for the most recent 30 days versus the previous 30-day period, controlling for seasonality. If marginal ROAS is declining while CPC is rising, you’re past the efficient frontier on SP. That’s budget that should be finding a more productive home, and SBV is the logical first candidate.
Signal 2: ROAS plateau despite sustained budget increases
If your SP budget has increased by 20% or more over the past 90 days and total account ROAS has stayed flat or declined, the auction has absorbed your incremental spend without delivering proportional output. This is the most visible symptom of SP saturation in a mature account — the algorithm has found the profitable keywords and is now spending more to maintain those positions rather than finding new, efficient opportunities.
The distinction here matters: ROAS plateauing because of seasonal softness is different from ROAS plateauing because of structural auction saturation. The test is whether your impression share on core keywords is already high (above 70%) even before budget increases. If you’re already capturing the majority of available impressions at your target keywords, adding budget will mostly raise CPCs rather than meaningfully expand volume.
Signal 3: Branded search volume is stagnant
Organic branded search — shoppers typing your brand name directly into Amazon — is one of the cleanest leading indicators of brand health and future conversion efficiency. When branded search volume grows, your SP branded campaigns become cheaper and more efficient, and organic conversion rates typically improve alongside. When branded search volume stagnates, it signals that your brand is failing to capture new customers at the top of the funnel who would eventually become high-value branded searchers.
SBV’s primary mechanism for building branded search volume is exposure at the discovery stage: shoppers who see your SBV ad, don’t click immediately, but remember the brand name well enough to search for it specifically in a later session. This halo effect is real and measurable — brands that add SBV to an SP-only strategy consistently report 10–18% branded search volume increases over 90-day periods, which compounds into long-term organic rank improvements and reduced branded CPC.
Signal 4: Category keyword saturation with available SBV placements
Not all categories reach SBV saturation at the same pace. If your category analysis shows that fewer than 30–40% of search results pages in your core keywords display SBV ads — or that the same two or three competitor brands own the SBV slots consistently — there is an immediate placement arbitrage available. SBV CPCs in undersaturated categories frequently run materially lower than SP CPCs for comparable keyword targets, while delivering superior CTR and reaching audiences at a different decision-making stage.
This asymmetry won’t last. As more advertisers recognize SBV’s efficiency advantage, auction pressure on video placements will increase. The window for low-CPC SBV entry into competitive categories is narrowing — which means accounts that act on this analysis in 2026 will establish creative assets, quality scores, and historical performance data that provide durable advantages before costs normalize.
The Rebalancing Math: How to Calculate the Right Budget Split
The portfolio math for SBV allocation in 2026 has crystallized around some fairly consistent benchmarks from advanced accounts. But those benchmarks are outputs of a calculation, not inputs to it. Understanding the calculation is more durable than memorizing the numbers.
The standard advanced account structure
Data from well-optimized Amazon PPC accounts in 2026 clusters around a consistent portfolio structure: 60–70% of total ad spend in Sponsored Products, 20–25% in Sponsored Brands, and 10–15% in Sponsored Display. Within the Sponsored Brands allocation, 80–95% flows to Sponsored Brands Video rather than static Sponsored Brands headline ads.
Working through that math: if SB receives 20–25% of total spend and 90% of that goes to SBV, then SBV is absorbing roughly 18–22% of total PPC budget in advanced accounts. For a brand spending $50,000 per month in Amazon advertising, that’s $9,000–$11,000 per month in SBV — a number that would have seemed aggressive for most advertisers three years ago and is now increasingly treated as the baseline for accounts that take video seriously.
How to calculate your specific rebalancing threshold
Rather than adopting aggregate benchmarks wholesale, calculate your account-specific rebalancing ceiling using this structure. First, identify the portion of your current SP spend that is defensive rather than acquisitive — budget spent maintaining top-of-search positions on branded keywords and saturated category keywords where incremental ROAS has demonstrably declined. This is your rebalancing pool: spend that is currently delivering below-marginal returns in SP and could potentially generate higher incremental value in SBV.
Second, establish your SBV capacity constraint. SBV budget can only be effectively deployed if you have sufficient creative assets and keyword targeting infrastructure to utilize it without quality degradation. Running more budget through a single SBV campaign with one creative asset leads to frequency fatigue and creative decay. The practical rule is that each distinct SBV creative should support no more than $3,000–$5,000 in monthly spend before performance begins to diminish from repetition.
Third, calculate the incremental NTB acquisition opportunity. Using your current SBV NTB rate and NTB CAC, estimate how many additional new-to-brand customers the rebalanced budget would generate per month. Multiply by your 12-month LTV estimate. If that LTV figure exceeds the marginal ROAS you’re generating from the SP spend you’d be reallocating, the math supports the shift.
The 5–10% incremental rule
Whatever the calculation suggests, the execution should be gradual. The consensus among advanced Amazon PPC managers in 2026 is that budget shifts exceeding 10% of total account spend in a single adjustment period create performance instability. Amazon’s campaign algorithms require observation data to optimize new bid levels and placement priorities effectively. Large sudden budget changes can trigger algorithmic recalibration periods — sometimes manifesting as temporary performance dips — that make it impossible to evaluate whether the shift was genuinely beneficial or simply disruptive.
Move 5–10% of SP budget into SBV over each 30-day period. Observe for 30 days before making the next adjustment. This pacing gives algorithms time to stabilize, gives you clean data to evaluate at each stage, and limits downside exposure if the initial rebalancing reveals unexpected issues with creative quality or keyword targeting in the SBV campaigns.
Creative That Earns the Budget: What SBV Needs to Perform
Budget rebalancing without creative infrastructure is a money-wasting exercise. SBV is an unforgiving format in one specific respect: the creative asset is the campaign. You can build technically sound targeting, competitive bid levels, and a sensible keyword strategy, and still generate mediocre SBV results if the video asset fails to earn attention in the first three seconds. This is categorically different from SP, where a strong main image and price point do the majority of the conversion work.
The first three seconds are non-negotiable
SBV ads autoplay when approximately 50% of the unit is visible on screen, without sound, on mobile and desktop. The shopper did not choose to engage with your ad. The ad appeared in their scroll path, and they have approximately two to three seconds before their thumb continues to the next result. In that window, the video must accomplish one thing: show the product doing something interesting enough that stopping and watching more seems worthwhile.
This sounds obvious. It is routinely violated. Common first-three-second failures include: opening with a logo or brand name before the product appears; slow-building lifestyle montages that haven’t shown the physical product by second four; text-heavy title cards that require reading rather than watching; and transitions that obscure the product during the critical hook window.
Amazon’s own research supports the product-first principle: videos that show the core product within the first two to three seconds consistently outperform those that build to the product reveal. The mechanism is practical — a shopper searching for “stainless steel cookware” who immediately sees a gleaming pan being used on a stovetop has received immediate confirmation that this ad is relevant to their intent. A shopper who sees a nature landscape opening sequence has not.
Design for mute: captions are not optional
Because SBV autoplays without sound, every video that relies on spoken information to communicate its core message is operating at a structural disadvantage. The shopper who watches a 15-second SBV ad on mute and has no idea what the product does or what makes it different from competitors is not going to tap to enable audio — they’re going to scroll to the next result.
Bold, high-contrast text overlays that mirror or supplement the visual content are the standard approach for mute-first design. Key benefit statements, differentiators, size/quantity callouts, and pricing signals should all appear as on-screen text at the relevant moment in the video. Captions for spoken content are a secondary measure — effective, but not a substitute for text overlays designed specifically for a sound-off experience.
Runtime, refresh cadence, and creative volume
Current SBV best practice benchmarks in 2026 center on videos in the 15–30 second range, with 15–20 seconds outperforming longer formats in most categories where the product benefit can be communicated concisely. Categories with complex products — technical equipment, multi-component systems, software-adjacent products — support slightly longer formats, but even these rarely benefit from videos exceeding 45 seconds in the search results environment.
Creative decay is one of the most underappreciated performance risks in SBV campaigns. A video that drives strong CTR in month one will typically show meaningfully declining performance by month two or three as the same audiences see it repeatedly. Advanced SBV accounts maintain a minimum of two to three active creative variants per campaign and rotate in new assets at least every 30 days. Some highly scaled accounts run monthly creative production cycles specifically to prevent fatigue-driven performance erosion.
Amazon’s introduction of its own Video Generator tool for Sponsored Brands campaigns in 2026 has lowered the production barrier for smaller advertisers, enabling basic video creation from existing product images and text. While this tool won’t replace purpose-built video production for established brands, it removes the “we don’t have video assets” constraint for brands that have been deferring SBV entry for creative-cost reasons.
Multi-ASIN vs. single product SBV strategy
SBV campaigns can showcase a single product or a curated selection of up to three products in a store spotlight format. The strategic choice between these approaches has meaningful implications for budget efficiency. Single-product SBV is typically more conversion-focused: the ad communicates one clear value proposition, and the click lands on a specific ASIN detail page. Multi-product SBV is more acquisition-focused: it shows category breadth, drives traffic to a custom landing page or brand store, and is more likely to drive NTB exploration across the catalog.
The general guidance from 2026 account data is to run single-product SBV for your highest-priority ASINs where conversion rate optimization is the objective, and multi-product SBV when the goal is brand building and catalog discovery among new-to-brand audiences. Both have a place in a mature SBV portfolio — but mixing objectives within a single campaign makes it impossible to evaluate performance accurately.
Attribution Reality: Measuring SBV’s True Contribution
The measurement challenge for SBV is not technically complex — the tools exist. The challenge is organizational: most Amazon PPC reporting dashboards are built around last-click ROAS, which is the metric most brand managers and finance teams understand and can benchmark against. Introducing incremental ROAS, NTB metrics, and halo effect analysis requires either building new reporting infrastructure or doing a significant amount of educational work with stakeholders who have strong intuitions about what “good” ROAS looks like.
Building an incrementality baseline
The first step in accurate SBV measurement is establishing what your account looks like without SBV. If you’ve been running SBV campaigns for six months or more, you can do a retrospective analysis by pulling weekly performance data and identifying periods when SBV budgets were paused or significantly reduced — then examining what happened to SP conversion rates, branded search volume, and overall account ROAS during those periods. If SBV pauses correlate with degraded account-level performance even when SP budgets were held constant, that’s directional evidence of SBV’s incremental contribution.
For accounts building a prospective incrementality baseline, the cleanest methodology is a geo-based holdout test: run SBV in specific states or regions while suppressing it in matched control regions, with SP budgets held constant across both groups. Comparing sales velocity, branded search growth, and NTB acquisition rates between test and control groups over 30–60 days gives you a reasonably clean incrementality estimate without touching your core SP performance.
The branded search lift metric
One of the most practical proxies for SBV’s halo contribution is branded search volume lift. Track your branded keyword impression volume in Sponsored Brands reports before and after SBV campaigns launch or scale. If branded search impressions increase materially — even if your branded SP bids haven’t changed — SBV is generating awareness that converts to intent in later sessions. This metric isn’t available in a single report; it requires pulling SB impression data over time and correlating it with SBV spend levels. But it’s tractable, and it tells a clean story that’s easy to communicate to stakeholders who aren’t fluent in incrementality methodology.
What to actually report to decision-makers
For internal reporting purposes, present SBV performance across three distinct metrics tiers: direct performance (CTR, CVR, direct ROAS), new-to-brand performance (NTB order rate, NTB revenue, NTB CAC), and brand health performance (branded search volume trend, branded keyword CPC trend). Showing all three simultaneously makes it impossible to evaluate SBV in purely direct-ROAS terms — which is the framework that leads to chronic SBV underinvestment — and creates a richer, more accurate picture of what the format is delivering to the business.
How Rufus and Alexa for Shopping Change the Video Equation
Amazon’s AI-powered shopping assistant — initially launched as Rufus and increasingly integrated across the shopping experience under the Alexa for Shopping umbrella — is adding a new dimension to the SBV value calculation. The precise mechanics of AI-assisted ad placement are still evolving and not fully documented by Amazon, but the directional trends are clear enough to inform 2026 budget strategy.
Conversational discovery and Sponsored Prompts
Rufus/Alexa for Shopping processes conversational queries — “What’s the best protein powder for building muscle?” — and generates product recommendations that blend organic results with Sponsored Brands and Sponsored Prompts placements. The AI’s intent-matching capability creates a new discovery surface that is qualitatively different from keyword-triggered search: the shopper is expressing category interest through a conversational format rather than entering a precise search query, which means the discovery mechanism rewards brand awareness and category association more than keyword optimization.
SBV has a structural advantage in this environment. A brand that has generated meaningful awareness and association with a category through SBV campaigns — impressions, video completions, click-throughs — builds signals that inform the AI’s understanding of brand-category relevance. Brands that exist only as keyword-targeted SP listings have a thinner signal footprint for the AI to work with. As conversational discovery grows as a share of total Amazon shopping sessions, the brands with richer upper-funnel data will have compounding advantages in AI-assisted placement.
Video surfaces in AI-driven shopping experiences
Amazon has begun integrating video ad units into AI-assisted discovery surfaces alongside traditional search results. The trajectory suggests increasing video representation in these environments over time, consistent with broader platform trends toward richer media in shopping interfaces. Brands that have established SBV creative assets, performance history, and quality signals in 2026 will be better positioned to occupy these placements as they scale, compared to brands that delay video entry and attempt to build that infrastructure later in a more competitive environment.
What this means for the rebalancing decision
The Rufus/Alexa for Shopping trend reinforces the rebalancing case without transforming it. The core argument for shifting budget from SP to SBV — based on CPC economics, NTB acquisition, and incremental ROAS — is already compelling on its own terms. The AI shopping assistant dynamic adds a forward-looking dimension: the investment in SBV creative and performance history being made today is building assets that will compound in value as Amazon’s AI-driven discovery surfaces grow in importance. Brands that treat SBV as an experimental supplement to SP will find themselves starting from scratch in that future environment.
Common Rebalancing Mistakes (And How to Avoid Them)
Budget rebalancing decisions are easy to get wrong even when the strategic logic is sound. These are the most consistent failure modes observed in accounts that attempt SBV rebalancing without adequate preparation.
Moving budget before creative is ready
The most common and costly mistake is reallocating SP budget into SBV before the SBV creative infrastructure is genuinely ready to absorb it efficiently. Launching a $10,000/month SBV budget against a single 30-second video with mediocre production quality will produce poor results — not because SBV doesn’t work, but because the creative is the limiting factor. Poor SBV results often lead to the incorrect conclusion that “video doesn’t work for our category” and a reversion to SP-heavy allocation, when the actual lesson is that video requires creative investment proportional to the budget behind it.
The rule of thumb: don’t move more than $3,000–$5,000 per month into SBV per creative asset until you’ve validated CTR and CVR performance on that asset at lower spend levels. Scale budget only behind creative that has demonstrated it can earn attention.
Evaluating SBV on the same metrics as SP
Applying SP’s ROAS target to SBV campaigns is analytically incorrect and will systematically prevent SBV from reaching budgets where it can generate its distinctive value. SBV typically shows 15–30% lower direct ROAS than SP in the same account — not because it’s less efficient, but because it’s doing different work. Holding SBV to the same ROAS threshold as SP ensures that every marginal dollar of SBV budget that exceeds that threshold gets cut before the campaign has the scale to generate NTB acquisition at volume.
Set separate performance targets for SBV based on NTB-adjusted metrics, not direct ROAS. A reasonable starting threshold: SBV ROAS + (NTB order rate × estimated NTB LTV) should exceed SP marginal ROAS. If the combined metric clears the bar, the SBV budget is justified even if the direct ROAS looks weaker in isolation.
Rebalancing during peak seasons
Budget structure changes made during Q4, Prime Day, or other high-velocity periods introduce additional variables that make it impossible to evaluate whether performance changes are driven by the rebalancing or by the seasonal dynamics. Always conduct rebalancing tests during stable, predictable demand periods. Use Q1 and Q3 for the bulk of your structural budget experimentation. Apply the learnings from those experiments to your Q2 and Q4 budget configurations, rather than running live experiments during your most consequential trading periods.
Ignoring keyword strategy in SBV campaigns
SBV is a keyword-targeted format. The quality of keyword selection in SBV campaigns matters significantly for both performance and cost efficiency. A common mistake is targeting only the same core category keywords in SBV that are already heavily contested in SP — which drives up CPCs, reduces the efficiency advantage of SBV, and limits the format’s reach to audiences the account is already aggressively targeting through SP.
SBV keyword strategy should include a meaningful proportion of broader, aspirational, or adjacent category keywords that SP campaigns don’t target efficiently. These wider matches reach shoppers earlier in the consideration journey — exactly where SBV’s awareness and video-engagement advantages are most relevant. The CTR from these broader terms will be lower than core keyword CTR, but the NTB acquisition rate will typically be higher, and the CPCs will be more competitive.
The Phased Rebalancing Framework: A 90-Day Approach
The following framework provides a structured approach to SBV budget rebalancing that manages risk, preserves account stability, and generates clean data at each stage to support subsequent decisions. It assumes an existing SP-primary account with either no current SBV presence or a small experimental SBV allocation.
Phase 1 (Days 1–30): Establish baselines and prepare creative
The first month is entirely analytical and preparatory. Run your existing SP and SBV campaigns without structural changes. Pull 30-day and 90-day performance data across: SP CPC by keyword group, SP marginal ROAS (estimated), SP impression share on core keywords, SBV CTR and CVR by creative asset, SBV NTB order rate and NTB CAC, and branded keyword search volume trends.
Use this data to identify: (1) which SP campaigns or keyword groups are showing the clearest diminishing marginal returns — these are the rebalancing source pool; (2) which SBV creative assets have demonstrated the strongest CTR and NTB performance at current spend levels — these are the assets worth scaling; and (3) what creative gaps exist if the SBV budget were to double or triple.
Simultaneously, prepare or commission any additional creative assets needed for Phase 2 scaling. The 30-day Phase 1 window is the production runway for the video assets that Phase 2 will need. Entering Phase 2 without ready creative puts you in the position of scaling budget against an asset before it’s been adequately tested.
Phase 2 (Days 31–60): Execute the first rebalancing shift
Move 10–15% of your identified SP rebalancing pool into SBV. If your analysis in Phase 1 suggested $8,000/month in SP spend that is delivering below-marginal returns, shift $800–$1,200 of that into SBV in Phase 2. This is deliberately conservative — the goal is not to maximize the rebalancing speed but to generate clean, observable data on how the shift affects both account-level performance and SBV-specific metrics.
Configure SBV campaigns with the validated creative assets identified in Phase 1. Separate campaigns by targeting strategy: one campaign targeting your core category keywords, one targeting broader adjacent keywords, and — if you have the budget — one targeting competitor ASINs or branded terms where SBV’s video format can interrupt competitor consideration. Maintain all existing SP campaigns at their current levels minus the reallocated amount; do not simultaneously adjust SP bids, which would introduce additional variables.
Track weekly: total account ROAS (not just SBV ROAS), SP conversion rate, SBV CTR and CVR, SBV NTB order rate, and branded keyword impression volume. Any significant deterioration in total account ROAS or SP conversion rate should trigger a diagnostic review before Phase 3.
Phase 3 (Days 61–90): Scale, hold, or pull back based on data
By Day 61, you have 30 days of clean Phase 2 performance data. The decision tree is straightforward:
If total account ROAS held or improved: SBV has absorbed the rebalanced budget without degrading overall performance. The data supports further rebalancing. Execute a second 10–15% shift in Phase 3 and extend the framework to a 180-day cycle.
If total account ROAS declined but SBV NTB metrics are strong: The direct ROAS decline may be offset by NTB acquisition value. Run the iROAS calculation including estimated LTV contribution from NTB customers. If the combined metric supports the shift, hold the current allocation and monitor for 30 more days before deciding whether to scale further or stabilize.
If both direct ROAS and NTB metrics are weak: The creative or targeting in Phase 2 is the problem, not the rebalancing thesis. Pause the SBV scale, diagnose which elements of creative and targeting underperformed, produce revised assets, and re-run Phase 2 with the improvements before attempting Phase 3 again.
The structured approach forces each rebalancing decision to be grounded in observed data rather than either blind commitment to the rebalancing thesis or premature retreat at the first sign of performance volatility. Most accounts that fail at SBV rebalancing fail because they either move too fast without adequate measurement infrastructure or abandon the strategy based on direct ROAS data alone without incorporating NTB and iROAS context.
Conclusion: The Budget Assumption Worth Revisiting
The SP-primary Amazon advertising account was the right structure for a previous version of the Amazon advertising ecosystem. In that environment — lower SP CPCs, limited SBV placement inventory, fragmented video creative tools — allocating 80–90% of PPC budget to Sponsored Products was a rational, efficient choice. That environment no longer exists in 2026.
SP CPCs have climbed to levels where incremental spend in many categories generates genuinely poor marginal returns. SBV has matured into a format with documented CTR advantages, measurable NTB acquisition capacity, and a clear place in the full shopping funnel. The analytical tools — NTB metrics, LTS ROAS, incremental ROAS frameworks — to evaluate SBV on appropriate terms are available in Amazon’s own reporting console. The creative production barrier has dropped with Amazon’s Video Generator and widespread access to affordable video production services.
The remaining barrier is organizational: the habit of evaluating all advertising spend on last-click direct ROAS, which makes SP look more efficient than it is at the margin and makes SBV look less efficient than it is when NTB and halo contributions are included. Changing that measurement framework is the precondition for making rational rebalancing decisions.
The four signals — rising SP CPCs, ROAS plateaus, stagnant branded search volume, and underutilized SBV placement inventory — are a diagnostic toolkit, not a checklist requiring all four items to be present before action is warranted. Two or three of them appearing simultaneously is sufficient to begin the 90-day rebalancing framework and generate the data that will either confirm or complicate the thesis.
Video is not eating search because it is a better channel in some abstract sense. It’s earning budget because the economics of search have shifted to a point where video’s incremental contribution — measured honestly and completely — is frequently more valuable than the marginal return on additional search spend. That’s not a creative trend. It’s a math problem with a specific answer that differs for every account and changes every quarter. The job is to run the math, act on what it shows, and keep running it.
Key Takeaways
- SP CPCs have risen ~48% cumulatively since 2019; marginal returns on additional SP spend are declining in most competitive categories.
- SBV delivers approximately 1.6× higher CTR and 1.3× higher CVR than static Sponsored Brands, with new-to-brand reporting that SP cannot provide.
- Standard last-click ROAS comparisons systematically undervalue SBV; NTB-adjusted and incremental ROAS frameworks are required for accurate evaluation.
- Advanced accounts in 2026 allocate 80–95% of SB budget to SBV, representing roughly 16–25% of total PPC spend.
- The four rebalancing signals: rising SP CPC, ROAS plateau, stagnant branded search volume, and available SBV placement inventory.
- Move budget in 10–15% increments per 30-day period; evaluate with a combined direct ROAS + NTB + iROAS framework.
- Creative quality is the binding constraint on SBV performance — do not scale budget ahead of creative readiness.
- Rufus/Alexa for Shopping’s conversational discovery surfaces reward brands with richer upper-funnel data, reinforcing the long-term case for SBV investment.
