ROAS Diagnostic · 2026

Why Your ROAS Dropped

When ROAS drops, the instinct is to fix the campaigns. Usually that's the wrong move. ROAS is an output — the problem is always one layer upstream. This guide shows how to find the actual cause before touching anything.

Updated May 2026 · Google Ads, Meta, TikTok, multi-channel
Quick Answer — Why ROAS Drops

ROAS = Revenue ÷ Ad Spend. It drops when revenue falls, spend rises, or your attribution stops counting correctly. Before changing anything: (1) compare platform-reported conversions against backend revenue — if they diverged, it's a tracking problem, not a performance problem; (2) check CPM, CTR, CVR, and AOV trends separately — the metric that moved first is the root cause; (3) check creative frequency on Meta/TikTok — above 3× means fatigue, not audience exhaustion. Most ROAS drops are misdiagnosed and fixed at the wrong layer.

Diagnose Before You Optimize

The Diagnostic Principle

ROAS = Revenue ÷ Ad Spend. It drops when revenue falls, spend rises, or both. The root cause is always in one of four variables: CPM (cost per impression), CTR (click-through rate), CVR (conversion rate), or AOV (average order value). Pull all four in a 30-day trend. The one that moved first is the root cause — not ROAS itself.

The most common mistake when ROAS drops: immediately changing bids, audiences, or budgets — before identifying which variable caused the decline. Each cause requires a completely different response. Changing bids when the problem is a broken landing page accomplishes nothing. Refreshing creative when the problem is a tracking gap amplifies the attribution distortion. Diagnose first.

The 60-Second ROAS Diagnostic
Pull CPM, CTR, CVR, and AOV trends for the last 30 days.
Use your ad platform's breakdown report. Look for the metric that changed first, not the one that changed most.
Did CPM spike first? → Cause #1 or #5 (auction pressure or seasonality).
CPM rising while CTR and CVR hold = external auction pressure, not account problem.
Did CTR drop first? → Cause #2 (creative fatigue) or #4 (audience saturation).
CTR decline precedes CPM rise in fatigue scenarios — the platform charges more as relevance falls.
Did CVR drop while CTR held? → Cause #3 (landing page / tracking).
Same click volume, fewer conversions = landing page, offer, or tracking problem.
Did ROAS drop but all four metrics look normal? → Cause #6 (attribution gap).
Platform-reported conversions appear fine but actual revenue isn't matching. Check GA4 vs platform comparison.

What I Check Before Touching Any Campaign Setting

When a client sends a ROAS chart with a clear downward slope, my first response is never to open the campaign. Three questions eliminate the most common false positives before we spend time on real optimization.

Did anything change in the business, not just the campaigns? A ROAS drop coinciding with a price decrease, a shift toward lower-margin products, or a change in return policy often looks like an advertising problem when it isn't. Platform ROAS is revenue-denominated — if revenue per order fell, ROAS falls even if the campaigns performed identically.

Did the attribution model or window change? Google migrated many accounts from 30-day to 7-day attribution windows in 2023–2024. A product with a 2-week consideration cycle loses half its attributed conversions when the window narrows. The campaigns didn't change. The measurement did. The chart makes it look like performance collapsed.

Is the drop in reported ROAS or in actual backend revenue? These are different problems. Reported ROAS can fall while actual revenue is unchanged — that's a measurement problem, not a campaign problem. Optimizing campaigns to fix a measurement problem consumes cycles while producing no improvement.

Only after eliminating these three does it make sense to open the campaign dashboard.

Named Framework

Attribution Visibility Window: The span of time within which a platform can observe and credit a conversion to an ad. Narrowing from 30 to 7 days doesn't change actual conversions — it changes which conversions the platform can see. Products with consideration cycles longer than the attribution window are systematically undervalued in ROAS reporting.

The 6 Root Causes of ROAS Decline

1
CPM Spike — Auction Costs Rose Without Account Changes

If CPM increased but CTR and CVR stayed flat, the problem is external: the auction became more competitive for your audience. This happens when competitor budgets increase, when Q4 seasonal demand arrives, or when new advertisers enter your category. Your account didn't get worse — the environment got more expensive.

The relationship is direct: ROAS = Revenue ÷ Ad Spend. If CPM doubles and everything else holds, cost-per-click doubles, CPA doubles, and ROAS halves. No creative change, bid change, or audience change will fix this — the only lever is reducing your effective CPM through placement testing, audience expansion, or timing adjustments. Alternatively, accept the lower ROAS during the competitive period and focus on CVR and AOV improvements that don't depend on auction dynamics.

🔍 Signals
  • CPM up 20%+ in last 2–3 weeks
  • All campaigns affected simultaneously
  • CTR and CVR unchanged
  • Period coincides with Q4 or competitor launch
✓ Fix
  • Test cheaper placements (Reels, Stories vs Feed)
  • Expand audience to reduce scarcity
  • Shift spend to off-peak hours temporarily
  • Accept the drop; improve CVR/AOV instead
2
Creative Fatigue — CTR Fell, Platform Charged More

Creative fatigue is the most common cause of ROAS decline in mature campaigns. When the same audience sees the same ad repeatedly, CTR falls. Platforms interpret low CTR as low ad quality and raise the effective CPC through relevance score penalties. The compound effect: lower CTR means fewer clicks per dollar, and lower relevance scores mean each click costs more — ROAS drops from both directions.

The diagnostic signature is specific: CTR declines over several weeks, then CPM rises in response, then ROAS falls. Frequency is usually elevated (above 3 on Meta, above 5 on LinkedIn). The fix is creative refresh — specifically the hook or opening element, which drives the majority of CTR. Changing body copy while keeping the same image or video opening rarely recovers CTR meaningfully.

🔍 Signals
  • CTR declined before CPM rose
  • Frequency above 3 (Meta) or 5 (LinkedIn)
  • Same creative running 6+ weeks
  • Relevance/quality score dropped
✓ Fix
  • Introduce 2+ new creative variants
  • Change opening hook first (image, headline)
  • Test a different format (video vs static)
  • Pause lowest-CTR ad sets immediately
3
Conversion Rate Drop — Landing Page or Offer Changed

CVR decline while CTR holds is the clearest signal of a post-click problem. The ad is working — people are clicking — but something on the landing page or in the conversion path changed. Common culprits: a site update that broke the page on mobile, a price change, a checkout flow modification, a slow-loading page, or a product going out of stock. These changes often happen outside the marketing team's visibility, which is why CVR drops are frequently misdiagnosed as ad problems.

The fix is always to inspect the landing page experience directly — on mobile, on multiple browsers, across the exact ad-to-page journey. Check Google Analytics or Hotjar for sudden changes in bounce rate, time on page, or checkout abandonment rate on the same dates ROAS declined. If the landing page is unchanged, check whether the offer itself changed — expired promotions, pricing adjustments, or product availability issues are frequent invisible CVR killers.

🔍 Signals
  • CTR stable, CVR dropped
  • Bounce rate spiked on landing page
  • Drop coincides with a site deploy
  • Mobile CVR dropped faster than desktop
✓ Fix
  • Audit landing page on mobile immediately
  • Check page speed (PageSpeed Insights)
  • Verify offer is still live and correctly priced
  • Check checkout flow for broken steps
4
Audience Saturation — Best Converters Already Reached

Every audience has a conversion hierarchy. The top 5–10% of people in your targeting pool convert readily; the rest are progressively harder. Algorithms serve to the best-converting segments first. Once those are exhausted — signalled by rising frequency and falling CVR — the algorithm reaches less receptive users. ROAS declines because the same budget is now reaching lower-quality audience slices.

Saturation is distinct from creative fatigue: frequency is high, but even with fresh creative, CVR doesn't recover because the remaining audience simply isn't converting. The fix is audience refresh — excluding recent converters, widening the targeting pool, or adding new top-of-funnel audience signals (new lookalike seed, new custom intent list) that expose the algorithm to unconverted, high-potential users.

🔍 Signals
  • Frequency above 4 for 4+ weeks
  • New creative launched but CVR still low
  • Reach plateaued despite stable budget
  • CPM rising while CTR holds or drops slowly
✓ Fix
  • Exclude recent purchasers (30–90 days)
  • Expand lookalike percentage (1% → 3%)
  • Add new audience layer (interest or custom intent)
  • Refresh lookalike seed with recent converters
5
Seasonal Demand Shift — Buyer Intent Changed

ROAS is partly determined by how much buyers want to purchase right now. In high-intent seasons (Q4 for ecommerce, January for B2B SaaS budget cycles, spring for travel), CVR and AOV both tend to be elevated — ROAS looks artificially strong. When seasonal tailwinds reverse, ROAS drops even with identical ad spend, creative, and audience. It's not account performance that changed; it's underlying purchase intent.

The diagnostic: compare this period's ROAS to the same period last year. If the year-over-year decline matches, the cause is seasonal. If ROAS is below last year's same period, a genuine account or market problem exists. Seasonal ROAS drops are generally acceptable — the appropriate response is adjusting targets and budget allocation, not optimization changes that don't address the underlying demand shift.

🔍 Signals
  • Drop matches same period last year
  • CVR dropped, CPM and CTR held
  • Category-level demand data confirms slowdown
  • Competitor performance also declining
✓ Fix
  • Adjust ROAS targets to seasonal norms
  • Shift budget to retention and LTV campaigns
  • Use the slow period for creative testing
  • Build retargeting pools for the next peak season
6
Attribution Gap — Conversions Undercounted

Post-iOS 14.5, Meta pixel undercounts conversions by 15–40% for many accounts. If your Meta ROAS dropped 30% around a specific date with no other campaign changes, compare platform-reported conversions to GA4 transactions on those dates. A growing gap — platform reporting fewer conversions than GA4 — signals attribution loss, not genuine performance decline.

The fix is implementing server-side tracking via Meta's Conversions API (CAPI) or the equivalent server-side event tracking on Google Ads. This bypasses browser-level restrictions and restores the signal quality the algorithm needs to optimize delivery. Accounts that implement CAPI typically see reported ROAS recover 15–30% as conversions previously invisible to the platform are reintroduced as optimization signals.

🔍 Signals
  • Platform conversions below GA4 transactions
  • Drop coincided with iOS update or browser change
  • Revenue is stable but ROAS fell
  • Other channels show no equivalent decline
✓ Fix
  • Implement Meta Conversions API (CAPI)
  • Enable Google Ads enhanced conversions
  • Audit pixel/tag firing in Tag Manager
  • Compare 7-day click vs 1-day view attribution windows
📊
If ROAS dropped but internal metrics look unchanged
The problem may be competitor activity shifting your auction position
When ROAS declines without clear internal signals — CPM, CTR, and CVR all appear stable — the cause is often increased bidder competition for your audience. Semrush's paid analytics shows competitor ad spend trends, new entrants in your keyword space, and landing page changes — useful context for diagnosing external pressure before adjusting your own account.
Try Semrush →

The ROAS Number That Looks Good but Isn't

Stable or improving ROAS in an account where total conversion volume is declining is one of the most dangerous performance patterns in paid media — dangerous precisely because it looks healthy.

The mechanism: Smart Bidding concentrates spend on highest-probability auctions as optimization matures. Branded search, warm retargeting, existing customer reactivation — these convert at high rates and produce excellent reported ROAS. The algorithm learns which auctions are good and systematically deprioritizes cold prospecting, which converts less predictably.

ROAS improves. New customer acquisition quietly declines. Organic brand search plateaus because there's less new-user exposure driving future branded intent. The business is efficiently harvesting a shrinking demand pool rather than growing into new demand.

The diagnostic: track new customer acquisition rate alongside ROAS. If ROAS is stable or improving while new customer count is flat or falling, the account is not performing well — it's declining efficiently. The fix requires accepting a temporary period of lower ROAS to reintroduce prospecting that expands the addressable audience.

Named Framework

False Efficiency Trap: The account produces its best-ever reported ROAS — but conversion volume is contracting. Smart Bidding has found the most efficient auctions: branded search, warm retargeting, recent site visitors. These convert at high rates and produce clean ROAS numbers. Meanwhile, prospecting campaigns that introduce new users to the brand are de-prioritized or cut entirely. Reported ROAS improves. The pipeline of future customers quietly empties. The trap: the dashboard signals success while the underlying business is eroding.

Demand Harvesting Plateau: Related but distinct. The account is capturing existing demand at high efficiency — branded search converts, retargeting converts, known audiences convert. ROAS stabilizes at a high level, but total addressable volume is fixed. Spend increases produce diminishing returns because new incremental auctions don't exist in the efficient zone. The business has exhausted the demand it can harvest and needs to invest in demand creation — prospecting, content, top-of-funnel — to expand the pool before ROAS optimization has anything new to work with.

ROAS Recovery Timeline — What to Expect

Root CauseFixRecovery TimeConfidence Level
Creative fatigueRefresh creative (new hook)7–14 daysHigh
Landing page CVR dropFix page issue3–7 daysHigh
Attribution gap (CAPI)Implement server-side tracking7–14 days reported; 30+ days validatedHigh
Audience saturationExpand/refresh audience14–30 daysMedium
CPM spike (competitive)Placement / timing adjustmentsOngoing — manage expectationsMedium
Seasonal demand dropAdjust targets; wait for seasonNext demand cycleHigh (predictable)
Operator Pattern
Demand Harvesting Plateau
Framework registry →

ROAS stabilizes at a high level. Conversion volume stops growing. The account has reached the limit of the demand it can efficiently harvest.

A mature account has above-benchmark ROAS. Campaign efficiency is strong. But total conversion volume has been flat for two or three quarters. Increasing budget produces diminishing returns — incremental spend generates few additional conversions at acceptable ROAS. Teams often attribute this to market saturation or seasonal factors. The actual mechanism is different: the account has become highly efficient at capturing existing demand — people already searching for the product, already familiar with the brand, already in a purchase consideration cycle. This pool is finite. The algorithm has found most of it.

Growth requires expanding the demand pool — reaching people not yet in a consideration cycle, creating intent rather than capturing it. But demand creation channels (prospecting, video, upper funnel) produce lower reported ROAS than demand capture. Budget allocation decisions continue to favor efficient harvest over necessary investment in new demand. The account becomes more efficient at capturing a shrinking pool.

The benchmark comparison is silent on this distinction. An account can be top-quartile ROAS while the business stagnates — because ROAS measures how well existing demand is captured, not whether new demand is being created to replace what has already converted.

What to look at instead

Conversion volume trend alongside ROAS trend. If both are growing, the account is healthy. If ROAS is growing while volume is flat, the account is harvesting efficiently but not expanding. New customer acquisition rate, branded search volume trend, and share of spend in upper-funnel channels provide the leading indicators of whether demand creation is keeping the harvest pipeline full. The correct response to a Demand Harvesting Plateau is not more optimization — it is investment in demand creation that accepts a temporary ROAS decline to expand the addressable audience.

Operator Case Study

A SaaS brand scales Google Search spend from $40K to $68K over six weeks. ROAS goes from 4.1× to 2.6×. The team suspects creative fatigue and refreshes ads. No change.

Audit findings: CTR stable. CVR stable. Creative performance unchanged. Average CPC up 31%.

The cause: at $40K, the account was capturing roughly 68% of available in-market impressions for the target query set. At $68K, it was capturing 94%. The incremental 26% came from lower-intent, higher-cost queries — adjacent terms, broader match, longer-tail variants that converted at the same rate but required significantly more spend per click to reach. More spend, same creative, same CVR, worse ROAS. Not because anything broke — because the ceiling was hit.

The diagnostic that confirmed it: Impression Share Lost to Budget had dropped to near-zero at the same time ROAS began declining. The account wasn't losing auctions. It had won most of the auctions available and was buying the remainder at increasing cost.

Diagnosis: When ROAS declines without a change in creative or conversion rate, the question is not what deteriorated — it is what ran out.

Not sure which cause applies to you?

ROAS drops have different causes — and different fixes. Find out whether you've hit a demand plateau, an attribution gap, or something else entirely.

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Frequently Asked Questions

Why did my ROAS drop suddenly?

Sudden drops are usually either a CPM spike (external auction pressure, especially Q4) or a CVR drop (landing page issue or broken tracking). Pull CPM, CTR, and CVR for the last 30 days — the metric that moved first identifies the root cause. If all three look stable but ROAS fell, attribution loss is likely (compare platform conversions to GA4).

Why is my Meta ROAS dropping?

Meta ROAS commonly drops due to creative fatigue (CTR declining after 4–6 weeks), audience saturation (frequency above 3–4), or iOS tracking loss. Check frequency and CTR first. If creative is fresh and frequency is low, run a GA4 vs Meta conversion comparison — post-iOS 14.5 undercounting is widespread and often misdiagnosed as performance decline. See: why Meta CPM is high for related auction context.

How long does it take for ROAS to recover?

Creative refresh shows results in 7–14 days. Landing page fixes in 3–7 days. Attribution fixes (CAPI) improve reported ROAS within 7 days but require 30+ days to validate. Audience restructuring takes 14–30 days. Seasonal drops recover at the next demand cycle — attempting to "fix" them with account changes typically doesn't help and can disrupt what's working.

Should I pause campaigns when ROAS drops?

Generally no — pausing resets the algorithm's learning phase (7–14 days), which inflates costs during restart and can make ROAS worse. The exception: if you've identified a genuine structural problem (broken tracking, broken landing page) that will continue producing bad data while the campaign runs. Otherwise, reduce budget by 20–30% temporarily while diagnosing, rather than pausing entirely.

Platform-Specific ROAS Drop Patterns

ROAS drops look different depending on which platform you're running. The diagnosis and fix vary significantly — don't apply a generic checklist.

PlatformMost Common Drop CauseFirst Thing to CheckFix Timeline
Google SearchCompetitor entry on brand/product termsAuction Insights report — new entrants?1–2 weeks
Google ShoppingFeed quality degradation or title mismatchesMerchant Center disapprovals + CTR by product1 week
MetaCreative fatigue — frequency above 3Ad frequency + CTR trend over 14 days2–5 days (new creative)
LinkedInAudience saturation or bid floor increaseAudience size + CPM trend1–2 weeks
TikTokCreative burnout — same video over 7+ daysPer-creative CTR trend after day 72–3 days (new creative)
ProgrammaticInventory quality shift or IVT spikeViewability + invalid traffic reports1–3 days (exclusions)

The Attribution Distortion Layer

Framework

Attribution distortion is not a bug. It's a structural feature of how ad platforms report performance. Every platform has systematic incentives to claim credit for conversions — and the measurement architecture they provide reflects those incentives. The result is a distortion layer between what the platform reports and what actually happened in your business.

Understanding this layer is not optional for operators making budget decisions. It explains why ROAS can fall while revenue stays flat, why campaigns that look unprofitable in Ads Manager are sometimes driving significant pipeline, and why two platforms can simultaneously each claim more than 100% of your total revenue.

The four mechanisms that create distortion:

Signal loss (iOS / privacy)

iOS 14+ restrictions prevent Meta from matching ad exposures to purchases for ~40% of iOS users. The conversions still happen — they simply disappear from Meta's reporting. Accounts with high iOS traffic share can see reported ROAS fall 20–40% with no change in actual business performance. Fix: implement Conversions API (CAPI) and compare platform-reported conversions against backend revenue weekly.

Attribution window inflation

Platforms default to attribution windows that maximise reported conversion credit. Meta's 7-day click + 1-day view window claims credit for purchases made by anyone who saw an ad in the previous week — even if they never clicked. Google's 30-day default does the same for search. The longer the window, the more conversions each platform claims. Historical ROAS comparisons are invalid if attribution settings changed between periods.

Cross-channel double counting

When a buyer sees a Meta ad on Monday, a YouTube ad on Wednesday, and converts via branded Google Search on Friday, all three platforms claim the conversion. Summing platform-reported ROAS produces a number that exceeds total business revenue. This is not an error — it's how attribution works in multi-touch environments. It's why MER (total revenue ÷ total spend) is a more reliable business metric than any platform's claimed ROAS.

Learning phase turbulence

Campaign edits — budget changes, audience adjustments, creative swaps above 20% of impressions — reset the algorithm's learning phase on Meta and Google. During this 7–14 day period, delivery efficiency drops, CPMs rise, and ROAS typically falls 20–40%. This is algorithmic recalibration, not genuine performance decline. Teams that react to learning phase ROAS with further edits extend the instability indefinitely.

The Attribution Distortion Layer — Operator Principle

Before diagnosing any ROAS drop as a campaign performance problem, verify whether the distortion layer has shifted. The check takes five minutes: compare platform-reported conversions against backend revenue (Shopify, CRM, or GA4) for the same period. If those two numbers have diverged, you're looking at measurement distortion — not a campaign that needs fixing. Optimising campaigns in response to attribution distortion is one of the most expensive mistakes in performance marketing.

Named Framework

Platform CPA vs Real CAC Gap: The platform reports a cost-per-acquisition. Your backend records a different number. The gap between them is not a measurement error — it's a structural feature of how attribution works in multi-touch environments. Platform CPA counts conversions within its own window and credits them to its own campaigns. Real CAC counts every dollar spent across all channels to acquire one customer. Accounts that optimize toward platform CPA without reconciling against real CAC systematically underestimate acquisition cost, over-invest in channels that appear efficient but are double-counting conversions from other sources, and misread ROAS drops caused by attribution changes as performance declines requiring campaign intervention.

ROAS Drop by Business Context

The right response to a ROAS drop depends on your business model, not just the platform signal. The same 20% ROAS decline has different implications and different fixes depending on context.

Context20% ROAS drop likely meansPriority action
E-commerce, high repeat purchaseNew customer acquisition cost rising; LTV intactIncrease retargeting budget; protect existing customers
E-commerce, single purchaseMargin erosion — genuine performance problemPause underperforming ad sets; fix CVR
B2B SaaS, long sales cycleOften a reporting lag — deals in pipeline not closedCheck pipeline velocity in CRM before reacting
Subscription, D2CMay be cohort quality shift (lower LTV cohorts)Analyse new cohort LTV vs. prior period
Seasonal businessLikely seasonality — check same period last yearCompare YoY, not MoM

How Experienced Operators Read a ROAS Drop Differently

The first thing a senior media buyer checks when ROAS drops is not the ROAS trend. It's the gap between platform-reported conversions and backend revenue. If those two numbers are moving together, it's a real performance problem. If they've diverged, you're looking at an attribution issue — and no amount of campaign optimization will fix it.

The "fix the ads" reflex is usually wrong. Most teams react to ROAS drops by adjusting bids, refreshing creative, or restructuring campaigns. These are the right moves for creative fatigue and audience saturation. They're completely irrelevant for tracking loss, attribution window changes, or learning phase resets — which together account for a significant share of reported ROAS declines. Applying the wrong fix to the right symptom wastes time and often disrupts what's actually working.

ROAS drops that feel sudden are rarely sudden. The signals almost always precede the ROAS drop by 1–3 weeks. CTR starts declining before CPM rises. Frequency climbs before CVR falls. Backend revenue diverges from platform reporting before ROAS collapses. Teams that track these leading indicators catch problems earlier and fix them faster than teams who monitor only ROAS. ROAS is a lagging indicator — by the time it drops, the root cause has usually been developing for weeks.

The most dangerous ROAS drop is the one that recovers on its own. Seasonal dips, learning phase turbulence, and short-term auction pressure all produce temporary ROAS declines that resolve without intervention. Teams that make structural changes during these windows — restructuring campaigns, cutting budgets, changing audiences — often reset algorithm learning precisely when performance was about to stabilize. The rule: if you can't identify a specific root cause, don't make structural changes. Reduce budget temporarily and wait 7–10 days before drawing conclusions.

The Operator Sequence

Step 1: platform conversions vs backend revenue — divergence means attribution problem, not campaign problem. Step 2: CPM, CTR, CVR, AOV trends — which moved first defines the root cause. Step 3: frequency and creative age on social platforms. Step 4: Auction Insights for competitive pressure. Only after completing all four steps: consider campaign changes. Skipping to step 4 is where most wasted optimization effort happens.

Related ROAS Resources

  • How to Reduce CPA — CPA reduction when ROAS is declining
  • ROAS vs MER — Understanding when ROAS drops are attribution issues vs. real
  • How to Improve ROAS — 12 levers ranked by impact
  • ROAS Calculator — Calculate break-even and target ROAS
  • Why Is My CPM High? — Diagnostic guide for rising auction costs
  • Average ROAS by Platform 2026 — Benchmark your current ROAS
  • Average ROAS by Industry 2026 — Industry-specific targets
  • What Is a Good ROAS? — Benchmarks by channel and vertical
  • How to Improve Google Ads ROAS — Platform-specific tactics
  • CPA vs ROAS — Which metric to optimize for your campaign type
Last updated May 2026 Sources: Diagnostic framework based on managed advertising account analysis across Google Ads, Meta, and TikTok. Platform tracking documentation from Meta Business Help Center and Google Ads support. Recovery timelines represent typical observed ranges; individual accounts vary. Full methodology →