4 signals, one working scorecard
4 signals make a useful starting scorecard: holders, volume quality, retention, and CAC. The first measurement window should set definitions, sources, and the decision you need to make. Give each figure a clear job before campaign activity starts.
| Signal | What it shows | Window or count | What you send |
|---|---|---|---|
| Holders | Addresses meeting your balance definition | Same reporting window each review | Network, contract, exclusions |
| Volume quality | Activity in recorded venues and context | Same window and data source | Venue list, source export |
| Retention | Return to a defined useful action | Consistent cohort window | First action, return action |
| CAC | Cost per defined acquired outcome | Same campaign period and cost rule | Costs, attribution method |
Use this 4-row table to agree on shared terms. A holder count and an active user count are different measures. Keep both only when each supports a decision. For launch planning, see the token launch marketing checklist.
How do you set a baseline before launch?
5 decisions create a baseline you can use after launch. Record each one where the team can find it. Keep the definitions steady when comparing later windows.
- Name the outcome: Choose one useful product or community action. Write down exactly what counts.
- Define the audience unit: State whether you count addresses, accounts, sign-ups, or completed actions.
- Label each source: Use one campaign and channel name across links, sheets, and reports.
- Record the starting point: Save the current value, its source, and the reporting window.
- Set a decision rule: Write what would make you continue, revise, or stop the tactic.
A complex dashboard is not required. A shared sheet works when every row names the metric, source, owner, and next decision.
Test tracked links before release. If a channel cannot pass source data, note that gap before reviewing outcomes. For channel planning, connect the measurement routine to the growth marketing retainer.
5 fields that keep the scorecard honest
5 fields make a campaign scorecard easier to check and use. Keep each entry concise. Give another team member enough detail to repeat the check.
- Metric definition: The exact event, address, or cost included.
- Source: The dashboard, export, tagged link, or internal record behind the figure.
- Window: The start and end points used for this comparison.
- Owner: The person who checks the source and notes missing data.
- Decision: The action this metric informs, such as changing a channel message.
- Caveat: Any known gap that affects attribution or comparison.
Add these 6 fields to each campaign row before results arrive. Keep source labels stable across channels. If a campaign has several acquisition sources, report each separately when evidence allows. Do not blend unlike audiences into one average.
For public profile work, check token details and supply information against the CoinGecko listing submission guide.
Which signal answers which campaign question?
4 signals answer different campaign questions. Read them together, but do not merge them into one headline figure. Use this comparison to select a measure for the decision at hand.
| Signal | Useful question | Stronger companion evidence | Common misread |
|---|---|---|---|
| Holders | Did qualifying addresses change? | Product actions or tagged visits | Treating addresses as people |
| Volume quality | Where did recorded activity occur? | Venue context and repeat product activity | Calling volume proof of adoption |
| Retention | Did people return to a useful action? | Cohort and acquisition source | Counting joins as continued activity |
| CAC | What did each defined outcome cost? | Complete costs and attribution notes | Comparing unlike outcomes |
A holder increase can matter. It does not explain why addresses changed. Note distribution events beside the reporting window.
Volume also needs context. Record venues and data sources, then compare them with the campaign’s intended action. For tracker-focused work, review DEXScreener visibility guidance or DEXTools visibility guidance. Treat placements as visibility measures, not user-quality measures.
Attribution: connect source to action
1 clear path from channel to action makes attribution more useful. Start with tracked links where available. Record what that path shows, then separate direct evidence from indirect signals.
For each campaign, log the channel, content or placement, link label, reporting window, and chosen action. If a person may encounter several channels, state how the report assigns credit. Do not count the same outcome under every source. When attribution is incomplete, mark the source unknown or indirect.
For a creator campaign, record 4 items: creator, post, tracked link, and measured action. This gives you a consistent basis for comparing sources. It does not make every view an acquisition.
See the crypto KOL campaign guide for channel setup. Use the KOL vetting guide before choosing creators. Keep source labels steady from launch through final review.
3 checks for on-chain data limits
3 checks help keep on-chain reports precise. On-chain records show address activity. They do not identify a person or explain that person’s reason for acting. Data platforms control the fields and coverage they display.
- Label the evidence: Separate observed address activity from inferred intent.
- Annotate changes: Note distribution events or changed definitions beside the affected window.
- Preserve the source: Save the export or dashboard reference behind each figure.
A wallet movement or chart position does not establish campaign credit. Platform displays and review decisions remain under platform control. No report can promise a ranking or listing decision from these metrics.
When the method changes, flag the break before comparing periods. When a source cannot identify a campaign path, say so plainly. That note shows the team what tracking to improve next.
For community outcomes, define a meaningful return action before comparing joins with retention. The Telegram growth guide can help structure that channel.
Send us 4 inputs for a useful review
4 inputs are enough to start a practical review of your crypto marketing metrics. We check whether each measure connects to a source, a definition, and a decision. You get a clear list of gaps and next actions.
- Campaign records: Links, channel labels, and the reporting window.
- Metric definitions: What counts as a holder, active user, return action, and acquisition.
- Source material: Relevant exports, screenshots, or dashboard references.
- Campaign goal: The behavior you want the next review to assess.
Keep the files together. Note any known distribution or product changes. We use that context to separate observed movement from interpretation. If a metric cannot support a decision, we’ll flag it instead of adding another chart.
Send us those 4 inputs and the next campaign window. We’ll review the scorecard and identify the first measurement gap to close.
How it works
- 1. Define the outcomeChoose the product or community action that matters. Write down exactly what counts.
- 2. Label the sourcesSet consistent campaign and channel labels. Add tracked links where the channel supports them.
- 3. Record the baselineSave the current definitions, data sources, and reporting window before activity begins.
- 4. Check signal qualityCompare holders, volume context, retention, and attributed outcomes. Note gaps instead of guessing.
- 5. Choose the next actionContinue, revise, or stop a tactic based on the evidence. Record the reason for the next review.
Frequently asked questions
Which metrics should a new token campaign track first?
Start with 4 measures: acquisition by source, one meaningful product or community action, repeat behavior, and relevant costs. Add holders or volume only when they answer a specific question. Define every measure before collecting the first report. That gives the team a consistent basis for comparing sources.
Can a holder count show how many people a campaign reached?
A holder count shows addresses that meet a stated balance definition, not identifiable people. Check the network, contract, excluded addresses, and any distribution events. Then compare the change with tagged visits or a defined product action. Without supporting evidence, report the address count without assigning it to a campaign.
How do I decide whether token volume is useful?
Use 3 checks: record the venues, name the data source, and compare the same reporting window. Then look for related product or community actions. If supporting evidence is missing, describe the volume change as activity. Do not call it proof that a campaign acquired lasting users.
What counts as retention in a crypto community?
Retention means a return to a defined useful action. Choose that action first, such as a relevant contribution or repeat product interaction. Group people by when and where they first arrived. Then compare later behavior across consistent windows. A join count records entry, not a return.
What should crypto CAC include?
CAC includes costs tied to a defined acquisition outcome and channel. Record campaign spend plus directly related production or management work, if your method includes those costs. Keep the cost rule consistent across sources. Define the acquired user, then flag any outcome with incomplete attribution.
Can on-chain data connect a wallet to one campaign?
On-chain records alone do not identify the campaign behind an address action. A tagged link or documented conversion path can connect some activity to a source. Keep that evidence beside the on-chain record. Where the connection is missing, label the source unknown or indirect instead of assigning credit.
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