On-chain ad token selection

How to evaluate tokens powering on-chain ad networks

The most promising opportunities in on-chain advertising aren't necessarily the tokens attached to the biggest ad networks. The key question is whether real advertising demand creates sustainable value for the token, rather than just generating token trading, speculative activity, or rewards subsidized by new investors.

I'd evaluate this sector as a combination of three investments:

1. Advertising infrastructure: Is there a real market for the product?
2. Crypto-economic design: Does usage translate into token demand or value accrual?
3. Investment opportunity: Is the token attractively valued relative to its adoption, growth, and risks?

One important distinction: a project can build a successful decentralized advertising business while its token performs poorly. Your research needs to evaluate the business and the token separately.

1. Start with a research universe

I'd begin with a small watchlist spanning different approaches to decentralized advertising. These are research candidates, not a ranking of the best buys.

Basic Attention Token (BAT)

(Established adoption to investigate)

Brave's privacy-oriented advertising and rewards ecosystem. Brave reported 128.3 million monthly active users as of September 30, 2026, and publishes transparency data on BAT purchases associated with advertising rewards. The key question is whether the token's expanding utility translates into durable demand.brave.com+5

Research: Brave Transparency ·BAT Roadmap 4.0

AdEx (ADX)

A decentralized advertising project associated with Ambire. Its historical design centers on advertising-market transactions and smart-contract-based delivery. Investigate current product activity, actual advertiser spend, and how much demand for the token the live system requires.www.cryptoground.com+2

Research:AdEx

Adshares (ADS)

A project worth investigating in blockchain-based advertising infrastructure, including metaverse and digital-media inventory. The investment thesis depends on verified advertiser and publisher activity, not simply the size of its stated addressable market.

Research:Adshares

ADXP Protocol (ADXP)

An early-stage, higher-risk research lead. Its published tokenomics describe advertiser payments, validator staking, and revenue-funded buybacks and burns. These are design claims to verify—not evidence of a functioning, economically sustainable network.adxprotocol.io

Research:ADXP tokenomics

One caveat: on-chain advertising is not the same as a decentralized advertising network. Some networks use blockchain data to target ads but settle payments in fiat or stablecoins. They may have strong businesses but weak native-token investment theses. Keep those businesses in your competitive analysis even when their tokens aren't investable.

2. Score each token on six dimensions

I'd use a 100-point framework with explicit penalties for weak evidence. It forces you to distinguish genuine commercial traction from an attractive narrative.

Interactive due-diligence scorecard

Rate each dimension from 0 (very weak or unverified) to 5 (strong, evidenced). Treat missing evidence as unverified rather than assuming the project scores well.

Weighted score

/100

[Interpret score]

What I'd investigate under each category

The weights are a starting hypothesis. For a very early-stage token, I'd place even more emphasis on dilution, liquidity and whether the product actually works.

3. The most important test: does advertising revenue accrue to the token?

This is where I would spend the most research time.

Consider three different token models:

Model A — Token required for settlement

Advertisers must acquire the token to pay for campaigns, and publishers receive it. This can create recurring transaction demand, but measure how much inventory is actually purchased and how quickly publishers sell their receipts.

Model B — Revenue-linked value capture

Protocol fees fund buybacks, burns, or distributions under clearly defined rules. This can link business growth to token economics, although discretionary buybacks and staking rewards need separate scrutiny.

Model C — Optional utility or governance

The token offers discounts, voting rights, or rewards, but advertisers can use stablecoins or fiat without holding it. The network may succeed without the token capturing much of that success.

BAT and ADS are useful case studies in this comparison. Brave documents advertiser payments in multiple currencies, including BAT, SOL, USDT, USDC, and fiat, while its 2026 roadmap describes additional BAT buyback mechanisms. Adshares says its native ADS coin is used for network settlement and that a portion of fees supports staking rewards. These mechanisms differ materially, and the actual economic flows need to be verified.brave.com+3

Calculate token demand rather than assuming it

A useful first approximation is:

\text{Annual token purchases}
\approx
\text{Annual ad spend}\times\text{token-funded share}

Then estimate the share of those purchases that represents net new demand, rather than tokens immediately resold by publishers.

For a revenue-sharing or buyback model, calculate:

\text{Buyback yield}=
\frac{\text{Annual token buybacks}}{\text{Token market cap}}

Use actual executed buybacks, not announced intentions. For staking, distinguish genuine revenue-funded rewards from inflationary emissions that dilute other holders.

4. Build a valuation model

Don't stop at market capitalization. Calculate both circulating market cap and fully diluted valuation (FDV), then model the economics under different adoption scenarios.

For example, suppose a network processes $20 million in annual advertising spend, charges a 5% protocol fee, and directs 20% of fees toward token buybacks.

• Annual protocol fees: $1 million.
• Annual buybacks: $200,000.
• At a $20 million token market cap, the buyback yield is 1%.

That's not automatically a good or bad investment. It illustrates why a large ad-spend figure can translate into very little token value accrual. If the token also faces significant emissions, the economics may be weaker still.

5. Verify the on-chain and commercial evidence

Before assigning a high score, I'd want to independently check:

• Revenue: Trace advertising payments, protocol fees, and buybacks on-chain where possible.
• Customers: Look for recurring advertisers, campaign renewals, and publisher retention—not just partnership announcements.
• Conversions: Verify whether campaigns generate valuable actions such as funded wallets, trades, or purchases. Clicks and impressions alone aren't enough.www.addressable.io+1
• Supply: Review vesting contracts, upcoming unlocks, emissions, treasury wallets, and insider holdings.
• Liquidity: Check exchange depth, concentrated ownership, market-maker dependence, and realistic slippage.
• Security: Review audits, contract permissions, bridge dependencies, governance control, and incident history.

A useful starting point is Brave's public transparency data, which documents user activity and historical BAT purchases associated with rewards. For other projects, compare public token contracts, transaction explorers, official documentation, and independent analytics rather than relying exclusively on team-reported dashboards.www.cryptoground.com+2

6. Set up a research workflow

I'd research each candidate in this order:

1. Confirm the product is live. Run a campaign if possible, inspect the advertiser and publisher experience, and test whether the advertised features work.
2. Measure real usage. Gather 6–12 months of advertising spend, fees, repeat customers, active publishers, and conversion quality.
3. Trace the token mechanics. Map who buys the token, who receives it, where fees go, and what happens when participants sell.
4. Model dilution and valuation. Compare current market cap and FDV with conservative, base, and optimistic scenarios.
5. Write the investment thesis and its failure conditions. Identify what evidence would make you abandon the idea, not just what would make you more bullish.

My preliminary research priorities

Based on the available documentation, I'd start with BAT and ADS, then investigate ADX as a separate case, and treat very early-stage projects such as ADXP as speculative until live economics are independently verified. This is a priority order for research, not a recommendation to buy.

BAT has a relatively established user and advertising ecosystem, but its token economics are evolving. ADS explicitly ties settlement to its token, making transaction demand an important empirical question. ADXP's published model is interesting on paper, but its stated launch timing and tokenomics warrant extra verification before assuming mature adoption.brave.com+3

Let's narrow this into an investable shortlist

I can turn this into a token-by-token comparison with current prices, market caps, FDVs, unlock schedules, revenue evidence, liquidity, and a bull/base/bear valuation model.

Research preferences

Token universe

All candidates, including smaller projects

Established projects only

Small caps and emerging opportunities

Investment horizon

Under 6 months

6–24 months

3+ years

Risk appetite

Conservative — emphasize liquidity and proven traction

Balanced — growth with evidence of value capture

Aggressive — accept early-stage and liquidity risks

Primary investment criterion

Token value capture and cash-flow potential

Undervaluation relative to peers

Adoption and revenue growth

Upcoming catalysts and market narrative

[Build my research shortlist]

Yes—but I’d be careful with the label “on-chain ad network.” There are only a few tokens that are genuinely direct bets on blockchain-native advertising; several others are really bets on attention, creator marketing, or on-chain user data.

My shortlist

Rank	Token	Exposure	My take
1	ADS (Adshares)	🟢 Direct on-chain advertising	Purest narrative bet
2	BAT (Basic Attention Token)	🟢 Consumer ads + attention	Best established product
3	KAITO	🟡 Attention/creator advertising	Best adjacent bet
4	COOKIE (Cookie DAO)	🟡 Marketing + on-chain audience data	Higher-risk asymmetric bet

1. ADS — the pure-play

Adshares is probably the most direct way to express the thesis.

Adshares is explicitly building a decentralized advertising marketplace: advertisers and publishers transact through its blockchain, with ADS as the settlement asset. Its protocol is designed for websites, games, metaverses, apps, social and other digital inventory.adshares.net

What's interesting from an investment perspective is the token-to-network linkage: ADS is used for transactions on the advertising blockchain, rather than merely being a governance token attached to an unrelated product.adshares.net

The catch is important: the project is still tiny. ADS is currently around $19M market cap, with roughly 39M tokens circulating. www.coingecko.com That gives it enormous narrative upside if decentralized advertising actually becomes a meaningful category—but also enormous execution/liquidity risk.

My rating for the thesis: 9/10.

2. BAT — the highest-quality existing ad product

Basic Attention Token is less speculative technologically because the underlying distribution already exists.

Brave says its ecosystem now reaches 120M+ users, with tens of millions participating in Brave Rewards and more than 2M verified websites/content creators. brave.com Brave Ads are privacy-preserving and opt-in, and users can receive BAT for viewing ads.brave.com

More importantly for the investment thesis, advertisers can now pay for Brave campaigns using BAT, SOL, USDT, USDC or fiat, so BAT isn't the exclusive settlement currency anymore.brave.com

That's simultaneously BAT's biggest strength and weakness:

• Strength: real users + real advertisers + real ad inventory.
• Weakness: growth in Brave's advertising business doesn't necessarily translate proportionally into BAT demand.
• BAT currently has roughly $154M market cap, substantially larger than ADS.www.coingecko.com

So I'd think of BAT as the lower-risk / lower-purity version of the thesis.

My rating: 8/10.

3. KAITO — the “attention becomes an asset” trade

Kaito is where I'd look if your thesis is broader than literal banner/display advertising.

Kaito has evolved from Yaps into Kaito Studio, a creator-brand marketplace where campaigns can be measured by impressions, conversions and mindshare. Its current platform shows campaigns with thousands of creators and millions of impressions.studio.kaito.ai

That's very relevant to the next generation of crypto advertising: instead of buying anonymous impressions through Google/Meta, protocols can potentially buy verifiable attention from crypto-native audiences, with wallets, social identity and on-chain activity contributing to targeting/measurement.

But I wouldn't call KAITO an “on-chain ad network” in the same sense as ADS. It's an attention/InfoFi/creator-marketing bet.

And there's a significant tokenomics issue: only about 24% of KAITO's 1B supply is currently circulating, with substantial future unlocks. The next scheduled unlock is October 20, 2026, and additional releases continue into 2029.tokenomist.ai

My rating: 7/10 for the broader attention thesis; 5/10 for pure ad-network exposure.

4. COOKIE — the speculative marketing-data play

Cookie DAO is particularly interesting if you believe the real moat in on-chain advertising will be wallet-level audience intelligence, rather than the ad-serving infrastructure itself.

Cookie3 says its system processes data from hundreds of millions of wallets and offers ad targeting based on on-chain behavioral profiles. Its MarketingFi products connect users, creators and businesses, including advertising targeting and affiliate marketing.test.cookie3.com

That's an attractive piece of the stack:

wallet behavior → audience segmentation → targeting → campaign → measurable on-chain conversion

But COOKIE is much more speculative. Its market cap is only around $10M, and it is increasingly positioned as a broader data/attention/AI ecosystem rather than a pure advertising token.www.coingecko.com

My rating: 6.5/10, but potentially the highest-risk/highest-upside name here.

How I'd frame the trade

If I specifically wanted to invest in the on-chain advertising narrative, rather than just buy tokens that happen to mention “attention,” I'd rank the exposure:

ADS > BAT > KAITO > COOKIE

But there's a useful distinction:

Infrastructure bet:
ADS

Consumer distribution bet:
BAT

Attention/creator marketplace bet:
KAITO

Audience-data/MarketingFi bet:
COOKIE

If I were constructing a watchlist rather than blindly buying everything, I'd probably spend most of my research time on ADS and BAT, then use KAITO/COOKIE as higher-beta satellite positions.

The key thing I'd watch

The biggest mistake would be assuming:

“Online advertising is a $600B+ market → therefore a $20M ad token can become huge.”

That's not enough. Value capture is the question.

For each token, I'd specifically monitor:

1. Actual ad spend flowing through the protocol
2. Number/value of advertiser transactions
3. Publisher revenue
4. Token required for settlement vs. merely optional
5. Token burn/staking/fee capture
6. User growth
7. Advertiser retention
8. Token unlocks and insider supply
9. Liquidity relative to market cap

That's why ADS is so interesting despite being tiny: its stated architecture puts the token directly in the advertising settlement loop.adshares.net

Bottom line: If you're looking for the purest asymmetric “on-chain advertising becomes a real crypto sector” bet, ADS is the first token I'd investigate. If you want a more proven consumer product with substantially more distribution, BAT is the stronger fundamental counterpart. KAITO and COOKIE are better viewed as adjacent attention/MarketingFi bets rather than pure ad-network plays.

This is a speculative crypto thesis, not a recommendation to buy; with ADS and COOKIE in particular, position sizing and liquidity risk matter enormously.