BoostROI
Campaign report · Solana · DexScreener boosts

You bought the boost. What did it buy?

We log every Solana boost the moment it shows up on DexScreener, re-price the token after 1, 6 and 24 hours, and line it up against a token of the same age that never paid. Same market, same clock, one difference.

Boosts logged
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Tokens followed
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Control tokens
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Awaiting price
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Loading the ledger…
01

Headline results

Median price change after a boost, next to the median for the look-alike tokens that didn't pay, at three checkpoints.

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02

Results by spend tier

Grouped by the size of the first boost we saw for each token. DexScreener sells packs of 10, 30, 50, 100 and 500.

Interquartile = the 25th to 75th percentile of price change. The pink row is the unboosted comparison group at the same checkpoint.

03

Live placements

The newest boosts we've logged and how each token has moved since, plus the biggest boost totals running right now.

Just boosted

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Heaviest spenders by total boost

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04

Methodology

"Price after a boost" alone says little, because most small tokens drift down regardless. The control group is what turns it into a comparison.

Spotting a boost

Once a minute we read DexScreener's token-boosts/latest feed and keep the Solana entries. Whenever a token's boost total rises, that's a new boost. The first one we see for a token (or the first after a 7-day gap) opens a track.

Pricing it

Entry price comes from the token's deepest-liquidity pair on DexScreener at first sight. The same source is read again at +1h, +6h and +24h. If every pair has vanished the token scores −100%. A checkpoint missed by more than an hour is left empty rather than estimated.

The comparison token

At the same moment we pick a token from Jupiter's 1h and 6h trending lists that we've never seen boosted, has real liquidity, isn't a stablecoin or major, and is within 2× of the boosted token's age. It is priced on the same schedule.

Reading the numbers

Win rate is the share trading above entry. Median is the middle price change. "Outran its pair" is how often a boosted token beat its own comparison token.

Keep in mind: teams that pay for boosts may differ from teams that don't, so this shows association, not cause. These are statistics about past tokens. Nothing here is a tip to buy anything.