On-chain products generate a strange kind of analytics problem. You can have thousands of wallets interacting with your protocol, NFT mint, or game, yet still struggle to answer basic growth questions: Who are your most valuable users? Where do they come from? Which cohorts stick around? And what behaviors show real product-market fit versus speculative noise?
That’s where Flipside Workflow becomes useful. For teams building in crypto, traditional analytics tools often stop at the wallet boundary. They’re great for web events, but weak when you need to understand contract interactions, token movements, DAO participation, or protocol-level usage. Flipside sits closer to the chain itself, turning raw blockchain data into something founders, analysts, and growth teams can actually query and operationalize.
This article breaks down how to analyze user activity on-chain with Flipside Workflow, how to build a practical workflow around it, and where the tool shines—or doesn’t.
Why On-Chain Analytics Feels Different From Traditional Product Analytics
If you’ve worked with tools like Mixpanel, Amplitude, or PostHog, you’re used to analyzing users through accounts, sessions, events, and funnels. In crypto, that model only tells part of the story.
On-chain activity introduces a different unit of analysis: the wallet. But wallets are messy. One human might use multiple wallets. One wallet may represent a bot, a treasury, or a smart contract. A single “user journey” might span Discord, a front-end dApp, several bridging steps, and multiple contracts across chains.
That means on-chain analytics is less about neat user-event pipelines and more about assembling signal from fragmented public data. The challenge is not just collecting data. It’s deciding which on-chain behavior actually matters.
Flipside Workflow helps by making blockchain data more accessible for structured analysis, especially when teams need to go beyond dashboards and start building repeatable investigation workflows.
Why Flipside Has Become a Practical Choice for Crypto Data Teams
Flipside is best understood as a blockchain analytics platform that gives teams access to structured on-chain data, usually through SQL-based exploration and workflow-oriented analysis. Instead of decoding raw blockchain logs yourself, you work from curated datasets across chains and protocols.
That matters because most founders do not need “all blockchain data.” They need answers to operational questions such as:
- Which wallets interacted with our contracts in the last 30 days?
- How many of them came back after first use?
- Which tokens do our best users hold or trade?
- Did a campaign bring real users or mercenary volume?
- Which wallets progressed from minting to staking to governance participation?
Flipside’s value is not just access to data. It’s that the data is organized enough to support repeatable analytical workflows. That’s a big difference. Many teams can pull blockchain data. Far fewer can turn it into ongoing decision-making.
Start With the Question, Not the Dashboard
The biggest mistake teams make with on-chain analytics is opening a dashboard tool before deciding what they actually want to learn. Flipside works best when you begin with a tight business question.
Good on-chain analysis usually falls into one of five categories:
- Acquisition: Where did these wallets come from?
- Activation: Did they complete the first meaningful action?
- Retention: Did they come back and continue using the product?
- Value: Which wallets create economic value for the ecosystem?
- Segmentation: What distinguishes power users, bots, traders, collectors, or inactive wallets?
Once the question is clear, the workflow becomes much easier. You know what contracts matter, which time windows to use, and what kind of wallet behavior you need to classify.
A Founder-Friendly Workflow for Analyzing User Activity On-Chain
If you’re using Flipside Workflow in a startup context, the goal is not to produce elegant SQL for its own sake. The goal is to turn chain activity into product insight. A practical workflow usually looks like this.
1. Define the on-chain actions that represent your product
Start by listing the contract interactions that matter most. For a DeFi app, that might include wallet connect, swap, deposit, stake, claim, and governance vote. For an NFT project, it could be mint, transfer, list, buy, and hold duration. For a game, maybe asset minting, crafting, marketplace trades, and repeat sessions tied to wallet actions.
The key is to distinguish between noise actions and meaningful product actions. Not every transaction should count as engagement.
2. Build a wallet-level event table
In Flipside, this often means querying transaction and event data for the contracts you care about, then normalizing interactions into a wallet-centric table. You want one place where each wallet can be associated with relevant actions, timestamps, chains, and protocol touchpoints.
This is the foundation for everything else. Once you have wallet-level event data, you can create cohorts, retention views, and segmentation models.
3. Create first-touch and cohort logic
One of the most useful analyses is identifying when a wallet first entered your ecosystem. The first interaction date lets you build cohorts by week or month and compare behavior over time.
For example, you can ask:
- Do wallets acquired during an incentive campaign retain better or worse than organic wallets?
- Did a product launch bring users who completed only one action, or users who moved deeper into the protocol?
- Which cohorts generated the most transaction volume after 30 days?
This is where on-chain analytics starts becoming strategic rather than descriptive.
4. Segment wallets by behavior, not just volume
A common trap in crypto analytics is overvaluing high-volume wallets. Volume matters, but behavior matters more.
Use Flipside to segment wallets into categories such as:
- New users
- Repeat users
- Power users
- Airdrop hunters
- Liquidity providers
- NFT flippers
- Governance participants
- Dormant wallets
This gives product and growth teams a much richer picture. A wallet that returns weekly and participates in governance may be more strategically valuable than one that generated a single large transaction during an incentive window.
5. Connect wallet behavior to campaign or product milestones
Founders often want to know whether a launch, partnership, or rewards program actually worked. Flipside can help by mapping wallet activity before and after a specific date or event.
You can compare:
- Pre-campaign versus post-campaign engagement
- Retention of wallets touched by quests or incentives
- Depth of protocol interaction after a new feature release
- Cross-chain migration after deployment on a new network
This is especially powerful when paired with off-chain campaign data, even if that data lives elsewhere. The wallet becomes the bridge between marketing activity and actual protocol usage.
6. Turn analysis into recurring monitoring
The best Flipside workflows are not one-off investigations. They become recurring reporting systems for growth, product, and community teams.
Once you’ve identified your core wallet segments and metrics, track them regularly:
- Weekly active wallets
- First-time wallets
- Returning wallets
- Wallets completing key activation actions
- Wallets progressing into higher-value behaviors
- Cohort retention by acquisition source or campaign period
That’s when on-chain analytics stops being a research exercise and starts becoming operating infrastructure.
Where Flipside Delivers the Most Value in Practice
Flipside is especially useful in a few real startup scenarios.
Measuring protocol adoption beyond vanity metrics
Total transactions and total volume are easy to inflate and easy to misunderstand. Flipside helps teams look deeper: repeated interactions, wallet progression, user quality, and long-term behavior.
Understanding token-holder behavior
If your startup has a token, you need more than a holders count. You want to know who accumulates, who exits quickly, who participates in governance, and which wallets are active users versus passive speculators.
Evaluating incentive design
Airdrops, quests, and yield incentives can create short-term spikes that look impressive and age badly. Flipside makes it easier to test whether these programs generate enduring usage or just temporary extraction.
Finding power users and ecosystem champions
Some of your best users are not your loudest users. On-chain behavior can reveal wallets that consistently provide liquidity, vote, refer activity, or remain active across market cycles. Those are often the wallets worth nurturing.
Where the Workflow Gets Messy
Flipside is powerful, but on-chain analysis has structural limitations that no tool fully solves.
First, a wallet is not the same as a person. A single user may split behavior across wallets. Some wallets are bots. Others are shared entities like funds, multisigs, or contracts. That means user counts are always approximations.
Second, context is incomplete. On-chain data tells you what happened on-chain, not why. A wallet may have left because gas got expensive, the UX was confusing, or the Discord community went quiet. You won’t get that from SQL alone.
Third, cross-system attribution is hard. If your growth strategy includes social, email, communities, and partnerships, connecting those channels to wallet outcomes still requires a broader analytics stack.
Finally, Flipside may be more powerful for teams with at least some analytical maturity. If your team lacks someone comfortable with data logic, SQL, or metric design, you may collect plenty of charts without reaching useful conclusions.
Expert Insight from Ali Hajimohamadi
Founders should use Flipside when they’ve reached the point where wallet activity is no longer a curiosity and has become core to strategy. That usually happens when a startup needs to answer questions like: Which users are actually retaining? Are token incentives attracting the right behavior? What does a high-value user look like on-chain?
Strategically, Flipside is most valuable for DeFi products, on-chain communities, NFT ecosystems, Web3 games, and infrastructure startups that need visibility into wallet behavior over time. It is less useful if your product’s core value is still mostly off-chain and blockchain activity is only a small implementation detail.
One misconception founders often have is assuming on-chain transparency automatically means easy analytics. In reality, public data is abundant but interpretation is hard. The winning teams are not the ones with the most dashboards. They’re the ones with the clearest definitions: what counts as activation, what counts as retention, and what behaviors indicate genuine user value.
Another common mistake is chasing broad wallet growth instead of high-quality wallet behavior. A startup can “grow” on-chain while attracting mostly mercenary users who disappear once incentives dry up. Founders should be opinionated about the difference between temporary activity and durable adoption.
I’d avoid overinvesting in Flipside too early if the startup still hasn’t identified its core on-chain actions or if the team has no one who can translate business questions into analytical logic. In that stage, simpler instrumentation and direct user conversations may provide more leverage.
But once a startup has traction, a tokenized ecosystem, or multi-step wallet journeys, Flipside becomes a strong strategic asset. Used well, it helps teams move from “something is happening on-chain” to “we understand which behaviors create value and how to scale them.”
When Not to Reach for Flipside First
Not every startup should begin its analytics stack with a blockchain data platform.
If you’re still validating your product, user interviews and simple event tracking may matter more than deep on-chain segmentation. If your front-end experience is broken, analyzing wallet retention won’t fix the root issue. And if your product depends heavily on off-chain actions, you’ll likely need Flipside alongside—not instead of—traditional analytics tools.
The best mindset is to treat Flipside as one layer in a broader measurement system. It gives you protocol truth, but not complete customer truth.
Key Takeaways
- Flipside Workflow is most useful when you need structured analysis of wallet behavior, cohorts, and protocol interactions.
- Start with a business question such as retention, activation, or campaign quality—not with a dashboard.
- The core workflow is: define meaningful on-chain actions, build wallet-level event tables, create cohorts, segment behavior, and monitor recurring metrics.
- On-chain analytics is powerful, but wallets are imperfect proxies for users.
- Flipside works best for crypto-native products with enough scale and analytical maturity to act on the data.
- It should complement, not replace, off-chain analytics and customer research.
Flipside at a Glance
| Category | Summary |
|---|---|
| Primary role | On-chain analytics and workflow-driven blockchain data analysis |
| Best for | DeFi teams, NFT projects, DAOs, Web3 games, tokenized ecosystems, crypto growth teams |
| Core strength | Turning structured blockchain data into wallet-level insights and repeatable analysis |
| Typical users | Founders, analysts, growth operators, data teams, protocol researchers |
| Most valuable workflows | Cohort analysis, wallet segmentation, retention tracking, campaign evaluation, token-holder behavior analysis |
| Main limitation | Wallets do not equal users, and on-chain data lacks full behavioral context |
| Skill required | Moderate; most value comes when teams can frame good questions and work with data logic |
| Not ideal for | Very early-stage products with limited on-chain activity or teams with no analytics ownership |
