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What Are DEX Boosts?

Published 2024-12-01 · Updated 2026-08-10

Scroll any Base token feed and you will see flame icons and "boosted" badges. These come from DexScreener's Boosts product — a paid promotion system where anyone can spend money to increase a token's visibility and trending placement (dexscreener.com). Boosts are one of the most misread signals in on-chain trading: they look like popularity, but they measure only one thing — that someone paid. The badge does not tell you who paid, why they paid, or whether the token underneath is sound.

That distinction matters more than it might seem. DexScreener is one of the most-visited crypto sites in the world, and a slot on its trending list can route thousands of eyeballs — and real buy pressure — toward a token in minutes. A product that sells influence over that list is, functionally, an advertising engine bolted onto a data terminal. Traders who understand exactly how the engine works can use boost data as context; traders who mistake the flames for organic demand routinely become the exit liquidity of whoever bought them.

This guide goes deep on the mechanics: what boost packs cost and how long they last, what the Golden Ticker threshold is, how boosts interact with DexScreener's trending algorithm, how they differ from Enhanced Token Info and display ads, what the terms and conditions actually say, what public data suggests about boosted-token performance, and how the boost-and-dump pattern unfolds hour by hour. It closes with the checklist we apply on BaseBubbles — where boosted tokens get a badge but never a scoring bonus — so you can read paid promotion without being played by it.

What a DEX Boost Is — and What the Badge Actually Measures

A DEX boost is a paid, temporary visibility upgrade for a specific token on a DEX screener — an aggregator site that charts decentralized-exchange trading pairs. The term is most associated with DexScreener, which launched Boosts as a self-serve product: pay by card or crypto, and for the next 12 to 24 hours the token carries a highlighted badge with an active boost count and gets a lift in the site's trending calculations (docs.dexscreener.com).

The critical thing to internalize is what the badge measures. It is not a quality signal, a volume signal, or a community signal. It is a spend signal: some wallet, somewhere, paid DexScreener money to make this token more visible right now. DexScreener says this itself in its terms — purchasing boosts "does not imply any form of endorsement, guarantee, or assurance" by the platform (docs.dexscreener.com).

That does not make boosts useless. Marketing spend is real information: it tells you someone has a budget and a motive to attract attention to this token at this moment. On a chain like Base, where sub-cent fees mean hundreds of tokens launch daily and attention is the scarcest resource, knowing where promotional money is flowing is genuinely valuable context. The skill is keeping the two questions separate: "is this token being promoted?" (which the badge answers) and "is this token worth my attention?" (which it never answers). The rest of this guide is about answering the second question when the first is yes.

The Mechanics of a Boost

DexScreener sells boost packs for specific tokens. Purchased boosts add a badge and flame count to the token across the site and raise its position in trending calculations for a fixed period; larger packs produce bigger, longer effects, and the "Golden Ticker" tier makes the promotion visually unmistakable (docs.dexscreener.com). Anyone can buy a boost for any eligible token — the buyer does not need to be the team, and multiple parties can stack boosts on the same token, which is why boost counts sometimes climb in bursts from several independent purchases.

Under the hood, DexScreener describes boosts as applying a multiplier to a token's existing Trending Score rather than simply inserting the token at a chosen rank (docs.dexscreener.com). That design detail matters: a token with genuinely strong volume, liquidity, and transaction activity gets more mileage out of the same boost pack than a dead token, because the multiplier has something to multiply. It is also why DexScreener can truthfully say that boosts do not guarantee a trending slot — the docs state plainly that "Boosts are not a magic bullet" and will not push a weak token to #1 on their own (docs.dexscreener.com).

Boosts are purchased on the web interface only — the docs note boosting is not available in the mobile app (docs.dexscreener.com) — and activate quickly after payment. Once live, the boost count is public: any visitor can see how many active boosts a token has, and DexScreener even exposes the data programmatically through its public API, which is how third-party sites (including BaseBubbles) display boost badges. Nothing about the purchase is anonymous to the market in aggregate, even though the identity of the individual buyer is not published.

Boost Packs, Pricing, and Duration

DexScreener sells boosts in packs, with the live price shown at checkout. The official docs commit to the structural facts — packs last "12 to 24 hours depending on the pack," and larger packs both display a higher flame count and apply a stronger trending multiplier (docs.dexscreener.com). Exact pricing is not published as a permanent table in the docs and has shifted over time, but third-party pricing guides compiled in 2025 consistently listed a ladder in this shape (dexrockets.com):

Treat those numbers as a snapshot, not gospel — the checkout page is the source of truth on any given day. The shape of the ladder is what matters for reading the market: visibility is cheap at the bottom and expensive at the top, with the flagship tier costing thousands of dollars for a single day. When you see a token wearing 500+ flames, someone committed a four-figure marketing spend with a hard 24-hour expiry. When you see 10 flames, the commitment was two digits.

That asymmetry is analytically useful. A small boost is noise — it costs less than many wallets' daily gas spend on mainnet and is routinely bought by fans, small communities, or the deployer's own wallet as a lottery ticket. A large boost is a statement of intent, and intent invites the question every trader should ask reflexively: who benefits from thousands of people looking at this token during exactly this 24-hour window, and what position are they holding while it happens?

The Golden Ticker: What 500 Boosts Buys

The Golden Ticker is DexScreener's flagship promotion tier. When a token accumulates 500 or more active boosts, its ticker symbol renders in gold across the screener and on its token page — a color change designed to be impossible to miss in a wall of otherwise uniform listings (docs.dexscreener.com). The gold persists exactly as long as the 500+ active-boost threshold is maintained; because boosts expire on their 12-to-24-hour timers, keeping a ticker gold continuously requires repeated purchases.

Searches like "golden ticker dexscreener" spike whenever a token goes gold, because the effect is striking and many traders do not know what triggers it. The answer is purely mechanical: 500 active boosts, nothing else. There is no editorial selection, no vetting beyond the standard boost eligibility rules, and no achievement being recognized. Gold means someone paid for the top pack (or several parties stacked purchases past the threshold) — full stop.

Third-party developers have even built alert bots that watch for new Golden Tickers precisely because the signal is so unambiguous about spend (github.com). Some traders monitor these alerts as an attention radar; others treat a fresh Golden Ticker on a young, thin token as a warning in itself. Both readings agree on the substance: gold is the loudest possible declaration that a marketing budget is being deployed right now. The empirical record on whether that spend correlates with good outcomes for buyers is examined in the data section below — the short version is that the correlation is not flattering (theholycoins.com).

How DexScreener's Trending Algorithm Treats Boosts

DexScreener's trending list is an algorithmic ranking, not a paid directory — but boosts are one of its declared inputs. The platform does not publish the full formula, and states that the algorithm incorporates a variety of on-chain and off-chain metrics; commonly cited components include trading volume, liquidity, transaction counts and buyer activity, price action, and the boost multiplier layered on top (docs.dexscreener.com).

The multiplier design produces behavior worth understanding. First, boosts amplify momentum rather than replace it: a token doing $2M of real daily volume that buys 100 boosts can leap up the list, while a token doing $5K of volume with the same pack may barely move. Second, boosting and organic activity feed back into each other — a boost lifts visibility, visibility brings traders, traders generate the volume and transactions that raise the underlying Trending Score, which the boost then multiplies further. This reflexive loop is exactly what promoters are paying for, and it is also why a boost's effect can outlast its timer: the attention it bought can leave behind real positions, holders, and chart history.

Third, the same loop runs in reverse when the boost expires. If the only thing sustaining the trending rank was the multiplier plus the temporary tourist volume it attracted, both disappear together, and the token can fall off the list as fast as it climbed. Watching what happens to a token's volume and rank in the hours after its boost lapses is one of the cleanest natural experiments available to a retail trader — it separates tokens that used the spotlight to build something from tokens that were only the spotlight. Our trending page ranks purely by 24-hour volume, which makes the after-expiry comparison easy to run.

Boosts vs Enhanced Token Info vs Ads: DexScreener's Paid Products

Boosts are one product in a larger paid-visibility catalog, and conflating them causes confusion. As of 2025–2026 DexScreener's marketplace offers several distinct things (marketplace.dexscreener.com):

The distinction that matters most for traders: Enhanced Token Info is a hygiene signal, boosts are a promotion signal. A token with a filled-out profile, logo, and linked socials has spent a few hundred dollars and some effort on presentation — mildly informative, since many rug operations do not bother. A token with active boosts is being pushed at you right now. On BaseBubbles, website and social presence (which flow from token-info data) feed the risk score, because their absence correlates with abandonment and scams; boosts deliberately do not feed the score, because paid reach is neither a virtue nor a sin. You can check any Base token's structural signals in the risk scanner.

The Fine Print: What the Boosting Terms Actually Say

DexScreener's Boosting Terms & Conditions are short and unusually blunt, and several clauses are directly relevant to how you should interpret a badge (docs.dexscreener.com):

Two of these deserve emphasis. The security-flag eligibility rule means a boost badge does weakly imply the token had not been flagged by DexScreener's audit partners at purchase time — a real but very low bar, since flags lag new scams by design. And the no-endorsement clause is the platform's entire legal position in one sentence: DexScreener sells reach, not diligence. Everything downstream of the badge — evaluating the contract, the liquidity, the holders — remains entirely your problem, which is precisely how the platform frames it (docs.dexscreener.com).

What a Boost Actually Tells You

One fact: marketing money was spent on this token, recently. That is genuinely informative — it means someone has a budget and a motive to attract attention now. What it does not tell you is who spent it or why: a team funding awareness, a whale marketing their exit, or a coordinated pump group manufacturing a trend all look identical from the badge alone. Treat a boost as a prompt to investigate motive, never as the conclusion.

The population of boost buyers is broader than most traders assume. Legitimate teams boost launches the way any startup buys launch-day ads. Token communities crowdfund boosts for coins the team has abandoned, sometimes alongside a Community Takeover (docs.dexscreener.com). Volume bots and promotion agencies sell "trending packages" that bundle boosts with wash trading and paid Telegram calls (smithii.io). Large holders sometimes boost a token they already own heavily — a case where the promoter's interests and yours are directly opposed, since the visibility they are buying works best for them if you buy what they sell. And occasionally third parties boost a token as a joke or a griefing move, because nothing stops anyone from boosting any eligible token.

Because all of these produce the same badge, the badge's information content is low on its own and high in combination. Boost count and timing, crossed with pair age, liquidity depth, holder concentration, and whether volume predates the promotion, separates ordinary marketing from manufactured exit liquidity fairly reliably. Those cross-checks are exactly what the later checklist section operationalizes, and our guide to reading token liquidity covers the depth-analysis half in detail.

Why Screeners Sell Visibility

Trending real estate on a screener with massive traffic is valuable, and selling it openly is a legitimate business model — comparable to sponsored listings anywhere on the internet. Search engines sell ads above organic results; app stores sell placement; e-commerce sites sell sponsored product slots. DexScreener applying the same model to token discovery was commercially inevitable once its traffic reached the tens of millions of monthly visits that industry observers attribute to it (crypto.news).

The economics explain the product's persistence despite criticism. Analyses cited by crypto.news — including figures attributed to Coinbase director Conor Grogan and DefiLlama data — estimated DexScreener's annual revenue at $200M–$250M, with token-profile and promotion fees at times generating $150K–$250K per day (crypto.news). Whatever the precise numbers, paid visibility is clearly not a side business; it is a core revenue engine, which means the incentive to keep selling boosts is structural.

The reputable implementations, DexScreener included, label paid placement rather than blending it silently into organic rankings: the flame badge, the boost count, and the gold ticker are all public, and the docs describe the mechanics openly (docs.dexscreener.com). The burden this shifts onto traders is awareness: a trending tab is part signal, part advertisement, and the label is what separates the two. The genuinely dangerous version of this business model is the unlabeled one — trending lists or "hot" feeds that accept payment without disclosure — because there the reader has no way to discount for promotion at all. The disclosure section below covers where critics say even labeled systems fall short.

Paid Visibility on Other Screeners: DEXTools and Beyond

DexScreener did not invent screener monetization, and boosts have close cousins across the ecosystem. DEXTools, the other major multi-chain screener, runs a "Hot Pairs" trending system fed by on-chain activity and its proprietary DEXT Score, and sells token teams paid services around listing information updates and visibility; an entire secondary industry of marketing agencies openly sells "DEXTools trending" packages to projects (finpr.agency). The mechanics differ from DexScreener's self-serve packs, but the product is the same: money in, attention out.

Beyond the two majors, the pattern repeats at every layer of the discovery stack. Aggregators and portfolio apps sell featured listings. Telegram call channels sell slots in their "gem" posts. Twitter/X influencers sell promotional threads, sometimes disclosed, often not. Launchpads sell placement on their front pages. Even block explorers sell token-info verification products. On Base specifically, a new token's marketing playbook often touches several of these at once, which is why a token can appear "everywhere" within an hour while having no organic community at all — ubiquity is purchasable as a package (smithii.io).

For a trader, the practical consequence is that no single discovery surface should be treated as neutral. Cross-checking is the defense: if a token is loud on boosted and paid surfaces but absent from unpaid ones — no organic Farcaster or X discussion, no holders you recognize, no volume before the promotion window — the ubiquity is an ad campaign. Our guide to finding new Base meme coins covers building a discovery workflow that weights organic signals over purchased ones.

The Disclosure Debate: When Paid Promotion Draws Criticism

The paid-visibility model has attracted serious public criticism, and the debate is worth knowing because it frames how much trust to place in any screener surface. The sharpest documented episode came in February 2025, when crypto.news published an investigation titled "How DEX Screener became hub for predatory investors and crypto scammers," collecting allegations that the platform's paid products materially amplified scams (crypto.news).

The specific claims: Coinbase director Conor Grogan argued the site employed "dark patterns," saying "nearly the entire front page is promoted bundled scams, and if you search for a real coin, scams are actively boosted ahead of the token" (crypto.news). The article cited revenue estimates of $200M–$250M annually and reported that DexScreener did not respond to requests for comment before publication. Separately, a December 2024 report by the investigative account Dethective examined boosted-token outcomes and found deeply negative average returns — covered in the data section below (theholycoins.com). User-review sites accumulated complaints from traders alleging losses on tokens they discovered through promoted placements (uk.trustpilot.com).

The counter-position is also real: boosts are labeled, the terms disclaim endorsement, security-flagged tokens are ineligible and can have boosts stripped, and the platform argues its ranking algorithm weighs many factors beyond payment (docs.dexscreener.com). Where you land on that debate matters less than the operational takeaway, which both sides actually agree on: paid placement on a screener is advertising, advertising on permissionless rails will be used by bad actors, and the platform's own terms tell you diligence is yours. No screener — DexScreener, DEXTools, or BaseBubbles — should be your last checkpoint before buying anything; see our rug-pull defense guide for what that last checkpoint should look like.

Advertising Disclosure Norms: The FTC Analogy

It helps to compare crypto screeners against the disclosure norms that govern advertising elsewhere. In the United States, the FTC's Endorsement Guides require that any "material connection" between a promoter and a seller — payment, free product, equity — be disclosed clearly and conspicuously, on the theory that audiences discount promotional claims differently once they know money changed hands (ftc.gov). The same principle drives "Ad" and "Sponsored" labels on search engines and social feeds: paid reach must be distinguishable from earned reach.

Measured against that norm, DexScreener's boost implementation is a partial pass. The paid placement is labeled — the flame badge and boost count are public and documented (docs.dexscreener.com). What the label omits is the material connection itself: you cannot see who paid. An FTC-style disclosure on an influencer post tells you the speaker was compensated by the brand being promoted; a boost badge tells you someone paid, which could be the team, a holder positioned to dump, or an unrelated third party. The most decision-relevant fact — whether the promoter profits from your purchase — is exactly the fact the badge cannot convey.

There is also a jurisdictional gap: FTC rules bind advertisers reaching US consumers through covered channels, but screener promotion of anonymous tokens by anonymous buyers sits largely outside practical enforcement, and no crypto-specific disclosure regime has filled the space. The practical stance this argues for is the one professional advertisers assume regulators force on them: treat every boosted placement as if it carried the strictest possible disclosure — "someone with a financial interest in your attention paid for this slot" — and let the token earn its way back from that presumption with verifiable structure.

The Boost-and-Dump Pattern: A Timeline

The characteristic misuse of boosts is a visibility-assisted exit, and it unfolds with enough regularity that you can sketch the timeline. What follows is a composite pattern assembled from documented reporting on boosted-token blowups (crypto.news, theholycoins.com) — not every boosted token follows it, but when the pattern is present, every stage leaves visible evidence.

The tell is never one stage — it is the cluster: heavy boosting on a very young pair, shallow liquidity, concentrated holders, and volume that appeared only alongside the promotion. Any single trait can be innocent; the combination is the setup. Each element is independently checkable in minutes on a screener plus our risk scanner, which is the entire argument for doing the checks before the chart, not after.

What the Data Says About Boosted Token Performance

Public empirical work on boost outcomes is thin but pointed. The most-cited study is a December 2024 report by the investigative account Dethective, which tracked market-performance snapshots of boosted tokens at intervals after their promotions. Its headline finding: tokens boosted on DexScreener averaged a return of roughly -48% over the tracked window (theholycoins.com). The report also found a dose-response wrinkle — projects buying very large boost totals (3,000+) showed consistent value loss, while the relatively best-performing cohort had bought moderate totals in the 600–1,000 range (theholycoins.com).

Those numbers deserve honest caveats before you weaponize them. The report lacked a control group — memecoin-class tokens as a whole skew heavily negative over any multi-day window, so "boosted tokens lost 48%" is only damning relative to what comparable unboosted tokens did, which the study did not measure (theholycoins.com). Sample construction and exact timeframes were not fully disclosed. And selection effects cut both ways: desperate or predatory projects may be more likely to buy big packs, meaning heavy boosting could be a symptom of weakness rather than a cause of loss.

The rigorous posture is to hold the finding loosely and keep asking the empirical questions the data cannot yet settle: Do boosted tokens underperform matched unboosted tokens of the same age and liquidity? Does the boost-size effect survive controls? What happens to volume in the 24 hours after expiry versus the 24 hours before ignition? You can run crude versions of these checks yourself by noting boosted tokens on the live map and revisiting them after their timers lapse. What the existing evidence clearly does not support is the naive reading many buyers act on — that flames predict gains. Nothing published points that direction.

How Professional Traders Read Boost Data

Experienced on-chain traders almost never treat a boost as a buy signal. They treat the boost feed as an attention calendar — a public schedule of where promotional pressure is being applied — and extract three kinds of context from it.

First, timing context. A boost's expiry is a known event with predictable flow implications: attention-driven volume tends to decay when the multiplier lapses. Traders holding anything through a boost window note the timer, because "why is this trending?" has a different answer at hour 2 of a 24-hour pack than at hour 23. Second, provenance context. The first question a professional asks about a boosted mover is whether the volume predates the promotion. Strength that existed before the flames — days of building volume, deepening liquidity, growing holders — is evidence the boost is amplifying something real. Strength born at the same block as the promotion is evidence the boost is the something. Third, contrarian context. Because the documented failure mode of boosted tokens is distribution into manufactured attention (theholycoins.com), some traders explicitly read very large boost packs on very young, thin tokens as a bearish flag — a sign that someone needs buyers urgently — and either avoid the token entirely or watch it purely as a case study.

What none of these uses involve is deference. The professional stance inverts the retail one: retail sees flames and asks "should I buy?"; professionals see flames and ask "who is selling?" That reframing costs nothing, requires no tools, and defuses most of the boost-and-dump pattern on its own, because the pattern only works on buyers who read paid reach as organic demand. Pair the reframing with the structural checks in our meme-coin risk checklist and boosted movers become what they should be: interesting data, not instructions.

How BaseBubbles Displays Boosts

We ingest DexScreener's public boost feeds — the same token-boosts endpoints the platform documents in its API (docs.dexscreener.com) — and mark boosted tokens with a badge on the bubble map and token pages, refreshing boost status on a short cache alongside our roughly 60-second token refresh. A token counts as boosted when DexScreener reports active boosts on its pair or lists its address in the current boost feed; the badge disappears when the boosts expire.

Deliberately, boosting neither raises nor lowers a token's risk score: paid visibility is neither a sin nor a virtue, it is context. The score continues to reflect measurable structure — liquidity depth, pair age, website and social presence, volatility, and volume — so a boosted token with solid fundamentals and a boosted trap remain distinguishable at a glance. "Boosted" appears in a token's flag list as pure information, contributing zero points in either direction, and the risk scanner presents it the same way. We think scoring boosts in either direction would be a mistake: penalizing them would smear legitimate marketing, and rewarding them would let anyone buy a better score for a few hundred dollars — the exact failure the score exists to prevent. Our full methodology is documented in how BaseBubbles ranks tokens.

One honest disclosure about our pipeline: because DexScreener has no "list every Base token" endpoint, we build our token universe from many sources, and the boost and token-profile feeds are among the discovery inputs — a token that gets boosted may enter our map sooner than one that does not. Discovery is not endorsement, and it is not scoring: a boosted token that arrives on the map with $8K of liquidity and a day-old pair will wear the low score those facts earn, flames and all.

Questions to Ask When You See a Badge

Was there real volume and liquidity before the boost, or did everything appear at once? Is liquidity deep enough to survive the attention it is buying? Who benefits from you noticing this token today — and are they positioned to sell to you? Does the project have any organic footprint (community, site, Farcaster presence) beyond the promotion? A boost on an already-healthy token is ordinary marketing. A boost that is the only interesting thing about a token is the product being sold — and the product is you.

Here is that instinct expanded into a working checklist. A boosted token does not need to pass every item, but each failure should raise your required standard for the rest:

Frequently Asked Questions

What does boost mean on DexScreener?

A boost on DexScreener is a paid, temporary visibility upgrade for a token. Buying a boost pack adds a highlighted badge with an active boost count and applies a multiplier to the token's Trending Score for 12 to 24 hours depending on the pack (docs.dexscreener.com). A boost signals only that someone paid to promote the token — it is not an endorsement, a quality check, or evidence of organic demand, and DexScreener's own terms say so explicitly.

What is the Golden Ticker on DexScreener?

The Golden Ticker is the visual effect a token gets when it has 500 or more active boosts: its ticker symbol displays in gold across DexScreener's screener and token pages (docs.dexscreener.com). It stays gold only while the 500+ active-boost threshold holds, and since boosts expire in 12–24 hours, sustained gold requires repeated spending. The trigger is purely the paid threshold — there is no vetting or editorial selection behind the color.

How much do DexScreener boosts cost?

DexScreener shows live pricing at checkout rather than publishing a fixed table, but third-party pricing guides in 2025 listed packs from roughly $99 for 10 boosts (12 hours) up to roughly $3,999 for 500 boosts (24 hours), the tier that unlocks the Golden Ticker (dexrockets.com). Mid-tier packs of 30, 50, and 100 boosts were listed around $249–$899. All purchases are final and non-refundable per DexScreener's terms, even if boosts are later removed for a security flag (docs.dexscreener.com).

How long does a DexScreener boost last?

Between 12 and 24 hours, depending on the pack purchased (docs.dexscreener.com). Smaller packs run 12-hour timers and the larger packs run 24 hours. The terms allow no extensions and no compensation for unused time, and the visibility effect ends when the timer does — though any real holders and volume the attention attracted can persist afterward. Watching whether a token retains volume after its boost expires is one of the simplest quality tests available.

Do boosts guarantee a token will trend?

No. DexScreener states directly that purchasing boosts does not guarantee trending placement or any specific rank (docs.dexscreener.com). Boosts work as a multiplier on a token's existing Trending Score, which is driven by on-chain activity like volume, liquidity, and transactions — so a token with weak underlying activity gets limited mileage from even a large pack. The docs' own phrasing is that boosts are 'not a magic bullet.'

Can anyone boost any token on DexScreener?

Mostly yes — the buyer does not need to be the token's team, and multiple parties can stack boosts on the same token. The exceptions are eligibility rules: tokens inactive for over 24 hours or flagged as potential security risks by DexScreener's moderators or audit partners cannot be boosted, and the platform reserves the right to strip active boosts from tokens later flagged as malicious, without refund (docs.dexscreener.com). This is why a boost badge never tells you who is behind the promotion.

Are boosted tokens more likely to be scams?

A boost alone proves nothing either way, but the public data is not reassuring: a December 2024 report by the investigative account Dethective found boosted tokens averaged roughly -48% returns, with the largest boost cohorts (3,000+) performing worst (theholycoins.com), and a February 2025 crypto.news investigation documented allegations that paid placement amplified scam tokens (crypto.news). The defensible reading is that boosting is a tool used by both legitimate marketers and exit-liquidity operations — so a badge should raise your diligence standard, not replace it.

Does BaseBubbles rank boosted tokens higher?

No. BaseBubbles displays a boost badge on tokens that DexScreener's public boost feeds report as actively boosted, but boosting contributes zero to the 0–100 risk score in either direction — the score reflects only structural signals like liquidity, pair age, website and social presence, volatility, and volume. Scoring boosts would either punish ordinary marketing or let anyone buy a better score, so 'Boosted' appears strictly as an informational flag on the map and in the risk scanner.

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