
Paid acquisition in Web3 runs into platform restrictions, broken attribution, and volatile unit economics. The work is solvable but it does not look like Web2 performance marketing, and teams that try to run it that way burn budget without learning anything.
Major ad platforms restrict crypto advertising
Meta and Google allow crypto ads only in specific jurisdictions, only with certifications, and only for specific product types. Many teams get accounts flagged or banned, lose ad spend to rejected campaigns, and cannot scale what does work because the platform pulls the campaign without warning. Performance marketing in Web3 has to account for this from day one.
Attribution breaks between ad click and wallet action
A user clicks an ad, lands on a site, connects a wallet, signs a message, and eventually makes an onchain transaction. Standard ad pixels see the click but not the conversion. Onchain analytics see the conversion but not the click. Without deliberate work to stitch these together, you cannot tell which campaigns, creatives, or audiences produced real users.
CAC and LTV swing with token prices
Web3 unit economics depend on usage patterns that change when tokens move. A user acquired in a bull market behaves differently from one acquired in a bear. Lifetime value calculated on current activity overstates or understates reality depending on where the market sits. Performance marketing budgets built on a single CAC to LTV ratio break every cycle.
Paid campaigns attract farmers instead of users
The audiences easiest to reach through Web3 ad networks and influencer promotion tend to be the users who already chase every incentive. They sign up, claim, and leave. Performance teams that optimize for signup cost or transaction count without a retention filter end up paying to acquire a user base that drops out within weeks. The metric that matters is not acquired users – it is retained users.
Assessment starts with the account situation. Which ad platforms are accessible for your category and jurisdiction, which certifications are in place, and what is the current risk of suspension? Most Web3 teams have at least one banned account and no clear record of what caused it. Before we plan campaigns, we map the compliant path on each major platform and identify which non-mainstream channels – Reddit, X, Cointraffic, Coinzilla, Brave, Persona – actually deliver reach.
Attribution gets rebuilt next. We set up tracking that survives the ad click to wallet action handoff, using first-party session tracking, wallet connection events, signature logging, and onchain data stitched back to session IDs. The goal is not perfect attribution, which is impossible, but sufficient attribution to tell campaigns apart. Most teams find the apparent winners and losers from their existing campaigns flip once this view exists.
Strategy focuses on the audience who retains, not the audience that converts cheapest. We work with retention cohorts, identify which audience segments produced users who stayed, and build paid plans targeting those segments. This usually costs more per acquired user but produces a much better CAC to retained LTV ratio, which is the only ratio that matters.
Campaign design works across channels in a portfolio rather than betting on a single platform. A typical mix includes X ads for reach, Reddit for specific subreddits with dense target users, Cointraffic or Coinzilla for scale on crypto-specific inventory, Brave for privacy-aware audiences, and direct sponsorship of targeted newsletters. Each channel gets a clear hypothesis and a cut-off threshold.
Creative treats the category's skepticism as a starting point. Web3 users are saturated with launch announcements and inflated claims, so creative that sounds like every other crypto ad gets ignored. We work with founders and product teams on messaging grounded in specific product behavior and honest language. Measurement runs on retained users – cost per signup, cost per first transaction, cost per user retained at 30 days, and cost per user retained at 90 days by channel and campaign.
The cheapest acquired user in Web3 is almost always the least retained. Performance marketing that optimizes for signup cost funds your farmers. Performance marketing that optimizes for retained users builds a real business.
Our 90-day Web3 performance marketing sprint starts with platform access and attribution in the first 30 days. We audit current ad accounts, rebuild tracking from click to onchain action, and establish the retained-user reporting that guides every subsequent decision.
Days 30 to 60 focus on portfolio launch. We run small tests across the selected channels, each with a clear hypothesis about which audience should retain. Creative production happens in parallel with a tight review loop. By day 60 we have enough data to see which channels and audiences produce retained users rather than just cheap signups. Days 60 to 90 concentrate budget on the channels that work and cut the ones that do not, tune bids, and build the operational routine the internal team will use going forward.
Engagements run 3-6 months depending on whether the team needs a full rebuild or a tune-up. The first 90 days are 2-3 days per week working with the growth lead, analytics owner, and creative lead. After that we shift to 1-2 days per week as the internal team takes over day-to-day operation.
We work directly with the people running paid – the growth lead, analytics owner, and creative lead. We do not hand work off to junior media buyers. Web3 paid decisions require context the internal team has and that middle layers usually filter out.
You provide access to ad accounts, analytics, onchain data, and session tracking. We handle attribution design, portfolio strategy, campaign planning, creative direction, and weekly analysis. Day-to-day campaign execution can stay with your team or existing partners. Weekly working sessions review retained-user reporting by channel and campaign. Monthly reviews cover portfolio allocation, creative performance, and platform policy changes.
If your web3 / blockchain company needs performance marketing leadership, we should talk.

Let us take a custom approach to your growth goals by assembling and leading the best-in-class marketing team to support your next stage.
Strategy and execution engagements run $18K to $35K per month on top of media spend. Teams with broken attribution or suspended ad accounts land at the higher end because the rebuild is heavier. Teams with clean accounts and working tracking land lower. Media budget is separate and usually starts at a minimum of $25K per month to produce enough signal to act on.
Compliance and attribution fixes produce immediate efficiency gains – often in the first 30 days – because wasted spend drops and you can finally see what is working. Channel portfolio concentration usually shows impact by day 60. True retained-user efficiency appears after 3-4 months because retention cohorts need time to mature.
We work alongside existing media teams rather than replacing them by default. Our role is attribution, strategy, portfolio design, and creative direction. Day-to-day trafficking can stay with the current team. If the current team cannot operate in Web3 specifically, we can run trafficking directly or recommend trusted operators.
Most performance agencies optimize for signup cost or cost per transaction because that is what their standard playbooks measure. That approach funds farmers in Web3. We optimize for retained-user cost and force every campaign to justify itself against that metric. We also have the operational experience to keep ad accounts compliant in a category where most agencies get banned quickly.
We model LTV on behavior cohorts rather than current activity, and we re-run the model quarterly as market conditions change. CAC to LTV ratios get reported in ranges rather than single numbers. Budget decisions look at the retained-user count and the depth of activity per retained user, which are much more stable than dollar LTV in volatile markets.
Post-launch protocols and apps with enough daily active users to produce meaningful ad feedback – typically at least a few thousand monthly actives – and a product that can retain users beyond a first transaction. Pre-launch teams usually get more value from go-to-market work first. Teams without any onchain retention data yet should fix measurement before scaling paid.
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