Building Blockchain ROI Dashboards with 7Block Labs

P A I N -- A G I T A T I O N -- S O L U T I O N

Understanding the Problem

We all go through pain, right? Whether it's that nagging physical ache, emotional ups and downs, or just the everyday stress that can weigh us down. There are times when it really seems like it just keeps coming, making everything feel pretty overwhelming.

Digging Deeper

Alright, let’s dive into the agitation that comes along with it. Sometimes it honestly feels like you're stuck in a loop that just won't quit. When we’re in a lot of pain, it can really get under our skin and make us feel even more on edge. Unfortunately, that irritation usually just adds to the pain we're already experiencing. I get it, it can be really frustrating, right? But you know what? Just noticing this cycle is actually the first step toward breaking free from it.

Finding a Way Out

Alright, let’s dive into how we can find a solution! Here are a few strategies that could really come in handy:

1. Talk it Out: Sometimes, just having a chat with a friend you trust can really help ease your mind. It’s amazing how sharing your thoughts can lift some of that weight off your shoulders. You know, sometimes it really helps to just talk about what's bothering you. Just getting it off your chest can feel like a weight lifted!

2. Stay Active: Getting moving can really make a difference! Whether you're taking a stroll, doing some yoga, or hitting the gym, just getting your body moving can really help to shake off that restless feeling.

3. Mindfulness and Meditation: Just taking a few moments to breathe deeply or meditate can do wonders for calming your mind and helping you find some clarity. It's amazing how a little bit of stillness can make a big difference in your day!

4. Talk to Someone: If you're feeling overwhelmed and it’s just too much to tackle by yourself, don’t hesitate to connect with a therapist or counselor. They can really help lighten the load! They can offer advice that's personalized just for you.

5. Healthy Routines: You know, when you eat right, catch enough Z's, and find that sweet spot between work and fun, it really can change how you feel day-to-day. It's all about creating a balanced lifestyle!

Sure, solving problems can be a bit of a challenge, but keep in mind, you’re definitely not in this by yourself. We’re all in it together! There are definitely ways to handle pain and anxiety, and honestly, it’s perfectly fine to reach out for help when you need it!

Pain: The “Invisible Math” Blocking Your CFO’s Signature

Your teams are doing an awesome job launching NFT loyalty pilots, tokenized rewards, and on-chain claims. But, let’s be real - figuring out the costs and earnings per action with that CFO-level precision? That’s still a bit of a challenge. Ever since EIP-4844 came into play, the fee models for Layer 2 have really transformed. So, when it comes to execution gas and L1 data, like those blobs and calldata, there's a bit of a difference depending on what tech stack you're using. For instance, if you're checking out OP Stack compared to Arbitrum, you'll see those variations pop up. It's pretty intriguing how each stack has its own flavor! But right now, your dashboards just kind of mash everything into one big number. That means you're missing out on the details about the unit economics for each network and campaign, which can really help you understand what's going on. If you want to explore this topic a bit more, check it out here. It's a great resource! So, with Account Abstraction (ERC-4337), you've got these paymaster subsidies and a bunch of different bundlers coming in and shaking things up. Unfortunately, it looks like your BI tables aren't really equipped to handle UserOperation metrics or EntryPoint receipts. This makes it pretty tough to nail down your sponsorship ROI--it feels like trying to find a needle in a haystack! If you want to dive deeper into the details, just click here. It's all laid out for you! Oh, and we can't overlook the fact that those so-called "final" numbers can totally change on you, especially if there’s a reorganization happening within the chains or until everything gets wrapped up. So, you finish putting together your monthly report and then realize that the numbers have shifted. Talk about a headache! It can really complicate things when it comes to audits, right? If you're curious and want to dive deeper into this, check it out here!

Agitation: The Risk of Moving Forward Without Fixing Measurement

Missed Deadlines: Just a heads up - if you can’t show that you’ve got SOC2-mapped proof of data integrity, lineage, and controls, procurement isn’t going to approve the renewal. This can really throw you off--just picture it: you lose an entire quarter because GRC keeps asking for “just one more sample.” It’s so frustrating! " (aicpa-cima.com).
Budget Overrun: If you don’t clearly separate blob and calldata attribution, you could see your Layer 2 gas sponsorships going off the rails by about 20-40% whenever Ethereum’s base fees jump up. When those big campaign moments hit, it can really throw off your Customer Acquisition Cost goals. (eips.ethereum.org).
Misleading GTM Calls: It's easy to be drawn to a network simply because its average fee seems lower, right? But here's the thing: those formula differences--like the operator fee on OP after Isthmus or the way backlogs work on Arbitrum--can actually end up making your specific flow pricier as you scale up. Keep that in mind before you make a decision! (docs.optimism.io).

Solution: 7Block Labs’ Approach to ROI Dashboards That Can Withstand CFO Scrutiny

When it comes to putting together ROI dashboards that really impress CFOs, 7Block Labs has a one-of-a-kind approach. So, here's the scoop on how they go about it:

1. Understand the Key Metrics. To kick things off, they really dive into understanding the key performance indicators (KPIs) that are crucial for the business. This means getting into the numbers that really matter to CFOs--things like profit margins, how revenue is growing, and where we can save on costs.

Engage Stakeholders Early
Getting everyone who has a stake in the situation involved from the very beginning is super important. At 7Block Labs, we believe in kicking off those crucial conversations right from the start. This way, our dashboard truly captures what everyone expects and needs, making it way easier to get everyone on board down the line.
Design for Clarity
Next, they're diving into creating a dashboard that's super intuitive and user-friendly. So, basically, it’s all about using straightforward visuals and steering clear of any complicated jargon that might confuse people. At the end of the day, complicated data should be super easy to understand.
Automate Data Collection
To make things run smoothly, they automate data collection whenever they can. This not only saves you time but also cuts down on the chances of mistakes slipping through. That’s definitely a big win when you're aiming to impress the finance leaders!
Run Regular Reviews
Once the dashboard is up and running, 7Block Labs doesn’t just leave you hanging. They make it a point to have regular check-ins to keep the dashboard in line with the evolving business needs and ensure it stays relevant.

Get Prepared for Some Challenging Questions! At last, they’re gearing up to handle any tricky questions that might pop up from the CFOs. This means really getting to know the data inside and out, and being prepared to explain how it connects to the company’s big picture and objectives.

At 7Block Labs, we take a structured approach to whip up ROI dashboards that do more than just look good. These dashboards deliver real insights and meet the high standards that CFOs expect. If you're hoping to take your reporting to the next level, you should definitely check out this methodology.

We’re all about making ROI dashboards that are actual production systems--goodbye to those boring slides! We’ve got a simple seven-part blueprint to help us create them. Every step is linked to something real that your procurement and finance teams can really check out, test, and approve.

KPI Contract: Clear On-Chain Evidence, Not Just Vague Metrics

Alright, let's jump into what we mean by "evidence-producing" events and those receipts that link up directly with revenue or expenses.

Revenue-side: We’re diving into some on-chain claims, checking out things like Transfer events for those ERC-20 rewards and the mints for ERC-721 and ERC-1155 tokens. Each of these comes with CAIP-19 asset identifiers, which really helps maintain consistency for assets across various chains and BI tools. Feel free to take a look at it right here: chainagnostic.org. Enjoy exploring!
Cost-side: So, this part focuses on the gas you burn while executing stuff, plus the L1 data or those “blob” bytes for rollups. Don’t forget about the priority tips from EIP-1559, and of course, any fees that the operators might charge. So, to figure out the costs, we break it down like this: we take the amount of gas used and multiply it by the sum of the base fee and the priority fee. Then, we add in the L1 data fee, and if there's an operator fee, we tack that on too. Easy peasy! If you're curious to dive deeper into this topic, check out eips.ethereum.org. They’ve got some great info waiting for you!
AA Flows: We’re constantly monitoring how UserOperations are accepted, checking in on validation gas, handling refunds, and keeping an eye on what the paymaster is actually spending through EntryPoint. Hey, just a heads-up! It’s really important to keep an eye on acceptance latency and watch out for any failure categories. You know, stuff like signature issues, paymaster glitches, or problems with initCode. If you're looking for more info, just check out docs.erc4337.io. It's all laid out there!
Standardization: We're rolling with CAIP‑2/19 to make sure our asset and chain identifiers are all in sync. This way, you won’t have to worry about “USDC on Base” and “USDC on Ethereum” causing any conflicts in your warehouse schemas. It keeps things simple and organized! Take a look at this: chainagnostic.org. You’ll find some pretty interesting stuff there!
Artifact: The last piece of the puzzle is a signed KPI spec that includes the SQL, ABI, and the event/topic map. This will help procurement easily connect everything to the Statement of Work (SOW).

2) Data Ingestion Built for Audits and Speed

Primary sources: Let's get started with some awesome curated BigQuery public blockchain datasets! So, these are the Google-managed tables for Ethereum that we use to track events and transactions. They make it super easy for us to whip up those initial dashboards in no time! We're working with the goog_blockchain_ethereum_mainnet_us to develop our model. *tables. Feel free to take a look at it [here](https://cloud.google.com/blog/products/data-analytics/data-for-11-more-blockchains-in-bigquery-public-datasets?utm_source=openai). It’s pretty interesting! Alright, let's dive into node-level traces! This is where things get interesting with Erigon’s tools liketrace_replayTransaction, stateDiff, and vmTrace`. These features really help us understand what's going on with transactions at a granular level. These really help us get to the real deal when it comes to our internal calls, adjustments, and any changes in storage. Plus, we’re keeping everything super precise--down to the last cent! No need to stress about it! It's locked down and never shown to the public. If you’re looking for more details, check this out here. It’s got everything you need!
We also make use of the Dune API to bring in data, which lets us work with notebooks and customized dashboards. It's got migration-safe endpoints, which means you can keep making changes on the fly without any stress. Just a little reminder though: uploads will be phased out after March 1, 2026. Find the details here. So, if you're not in charge of the nodes, the Etherscan V2 Gas Oracle and the per-chain API are really useful tools. They make it easy to keep track of things like baseFee and gasUsedRatio on a regular basis. Get more details here.
Secondary sources (AA/4337): We collect a bunch of bundler metrics, like the UserOp ingress numbers, results from simulateValidation, and the outcomes of handleOps. These insights really help us figure out the return on investment for sponsorships and get a grip on what goes wrong when things don’t go as planned. If you want to dive deeper into it, check it out here.
Artifact: We've got these handy lineage documents that trace the origins and retention of our data on a table-by-table basis. This lines up nicely with the SOC2 TSC points of focus, which definitely simplifies the process when it comes to evidence requests. Check it out here.

3) Cost Engine That Matches How Networks Actually Bill

EIP-1559 on Layer 1/Base Chains: So, when we talk about the effective price, it basically comes down to the base fee plus the priority fee. So, when users make a transaction, they cover the base fee--which actually gets burned--and on top of that, they add a tip. We’ve also got a max fee in place to help keep everything under control. Our engine grabs samples of block.baseFeePerGas and syncs everything up with the receipts. If you want to dive deeper into this, you can check it out here.
OP Stack Chains: So, when we talk about totalFee, it's basically made up of a few different things. First off, there's the operatorFee. Then, you’ve got the gasUsed, which you multiply by the sum of the baseFee and the priorityFee. Don’t forget to add in an L1 Data Fee too! Ecotone has rolled out a new blob pricing model for data availability. Basically, we calculate the transaction bytes once everything's been compressed, and we also take into account the scalar multipliers from the chain setup. If you want to dive into the details, you can take a look here.
Arbitrum Nitro Chains: So, these chains come with their own unique child-chain base fee that adapts to gas targets. Plus, there's a parent-chain calldata fee that gets estimated using a nifty technique called brotli-zero compression, all wrapped up in a flexible pricing model. Cool, right? We always double-check this against the ArbOS reports to make sure everything lines up. If you want to dive deeper, you can check out more details here.
Post-Dencun: Ever since the upgrade rolled out, I've noticed that L2 fees have really dropped. It seems like the switch to blobs instead of calldata made a good impact! We're giving credit for these savings mainly to L1 data prices. This way, we avoid mistakenly overestimating any improvements we've made on the execution side. Check out the article here. It provides some really interesting insights!
Artifact: We’ve put together some solid cost functions in SQL/TypeScript that you can actually reproduce. Plus, we’ve included unit tests that check how our predicted fees stack up against the real fees from various receipts we’ve sampled. It’s all there to make sure everything lines up nicely!

Making Sure Everything Stays Steady After Sign-Off: Finality and Reorg Safety.

We sort our metrics into different confirmation levels. We’ve got "head," which can be a little all over the place, then there's "safe," and finally, we have "finalized." So, generally speaking, Ethereum reaches its finality after about 2 epochs, which is roughly around 12 minutes. So, it takes about 8 minutes, and we’ll only consider a KPI as “closed” once we meet that service-level agreement. (ethereum.github.io). One really neat thing we have is the “audit toggle.” It lets us freeze the fact tables at those crucial points when we finish up each month. It’s super handy for keeping everything organized!

5) Privacy + SOC2: Proving Outcomes Without Oversharing PII

We make sure to keep any personal info, like names or addresses, away from the blockchain. Instead, we rely on privacy-preserving proofs to handle sensitive data in groups. This way, everyone’s information stays safe while still allowing us to get the insights we need. With zkVM services like RISC Zero Bonsai remote proving and those nifty SNARK-wrapped STARKs, we can really cut down on the gas fees for on-chain verification. It's a game changer! So, you can easily show off those KPIs, like hitting that “≥10,000 unique claimants” mark, all while keeping your wallet groups under wraps. Pretty neat, right? Feel free to dive into the details here. You'll find all the info you need!

So, when you need to pass along some specific info, we’ll just hop on EAS (Ethereum Attestation Service) and get those attestations sorted out for you. We use specific schemas for each campaign so our partners can easily check on-chain whether "the campaign hit that KPI." If you’re interested in exploring the EAS world, just click here. Happy diving!

We’ve got the audit process down to a science! To keep everything running smoothly and make procurement a lot quicker, we line up our controls and evidence with the SOC2 Trust Services Criteria.
This way, we make everything smoother and help ease some of the stress along the way. If you're looking for more details, definitely take a look at this: AICPA SOC2 Guidelines. It's a great resource!

We've put together a really useful control matrix that helps you understand how data flows align with SOC2 TSC--covering key areas like Security, Availability, and Personal Information (PI). Plus, we've included some sample evidence to make things easier, like attestations, lineage, and hashing. It's all about making compliance a bit simpler for you!

6) Observability and SLOs: Treat BI Like a Product

We're currently working on setting up our ETL and API using OpenTelemetry JS metrics. This will help us keep a close watch on important stuff like latency, error rates, and how fast we achieve finality. We're shooting for some solid service level objectives, like hitting that 99% mark. We’re on track to process about 9% of events in under 5 minutes once they enter the chain. Plus, we’ll have some burn-rate alerts set up in Grafana to keep things in check. If you’re curious to learn more about this, feel free to take a look here. It's a great resource!

So, what's the big picture here? We want to create a dashboard that your platform team can really take charge of. Plus, we’ll set up an auto-ticketing system that springs into action whenever we start using up our error budget.

7) Visualization that Finance Actually Uses

CFO View:

Cost per Completed Action (CPCA): Let’s take a closer look at how this breaks down by network, campaign, and location.
Sponsor Liability: Take a look at the AA paymasters and see how they stack up against the actual conversions we’ve been seeing.
LTV/CAC Payback Curve: Alright, let’s explore how much this changes with variations in ETH prices and L1 blob gas.

PM/Marketing View:

Funnel Tracking: We’ve got a process that starts with when someone sees a wallet, then moves to them signing something, and finally wraps up when everything is completed on the blockchain.
Drop-offs: Let's dive into why people are dropping off. We can look into the reasons for reverting, how it ties to different devices they're using, and the type of network they're on.

Artifact:

Check out our handy "Metric Cards" catalog! It's packed with definitions and links to queries that you can use whenever you need a quick reference.

Example A: Loyalty Claims on Base with AA Gas Sponsorship

Scenario: So, we’re dealing with around 250,000 claim attempts here, and the whole point of this campaign is to create a smooth, gasless experience for users by using a paymaster on Base.
Implementation Notes:
Collect UserOp Telemetry: Alright, we’re going to need to pull together some data. This includes stuff like the ingress rate, the classes for simulateValidation reverts, and the inclusion latency. Also, let's make sure we record the actual gas consumption and any refunds we get from EntryPoint handleOps. Let’s take a closer look at gas usage and break it down into three parts: deployment, execution, and pre-verification. If you want to dive deeper into the details, just click here. Happy exploring!
Cost Model Sources: For our cost model, we're going to grab the block.baseFeePerGas directly from JSON-RPC. So, after the Dencun update, we'll be managing the L2 execution gas and L1 blob fees using OP-style pricing functions. We'll take a look at these daily to make sure everything lines up with the receipts. If you're looking for more details, you can check it out here.
Benchmarks: So, after the Dencun update, you can usually expect L2 execution alongside blob data availability to cost just a few cents per action on the main OP-stack L2s. We're looking at paymaster budgets and guessing they'll be roughly around $0. 01-$0. We're looking at around $5 per claim, but there are some fluctuations we'll be monitoring through our Service Level Objectives (SLOs). If you want to dive deeper into this topic, take a look at this article! It gives you a lot of great context. You can find it over on Investopedia here.
Business View:
Our ROI panel is going to keep an eye on how the CPCA is doing compared to our target. Plus, we’re also going to monitor the “gas sponsorship efficiency,” which basically tells us how many conversions we’re getting for every dollar we spend on the paymaster. In the procurement binder, we’ll throw in the EAS attestations that say, “Q2 campaign hit over 100k verified claims.” We’ll also map out the SOC2 lineage to help make the legal review go a lot smoother. If you’re looking for the details, you can check them out here.

Example B: Multi-chain Token Incentive with Arbitrum and OP Mainnet

Problem: The finance team has to decide how to distribute the budget for the upcoming quarter.
Implementation Notes: For Arbitrum, let’s stick with those unique L2 basefee dynamics by using a multi-window backlog algorithm. This is actually a bit different from the calldata fees you’d find on the parent chain. Just keep in mind: it’s all about taking that brotli-zero compressed size and multiplying it by the L1 gas price. By doing this, we can really pinpoint what we can manage in our business, like execution gas, and separate that from anything related to data availability. (docs.arbitrum.io). Hey, just a quick note about OP chains: don't forget to factor in the operator fee after Isthmus. If you overlook that, you might think there's some kind of “fee parity” going on when, in reality, it could just be hiding the real costs involved. Just a little heads-up! (docs.optimism.io).
Business View: So, finance is finally getting a better grasp on things thanks to the normalized CPCA, and they can really see how “DA sensitivity” changes across different chains. Meanwhile, marketing is pretty excited because they've noticed an uptick in conversion rates. On the engineering side, they’ve got a handy list of gas optimization tasks that could lead to some fantastic savings.

Emerging Best Practices We’re Doing by Default

Make Sure Every Buck Has a Receipt: We're tapping into Erigon's trace_replayTransaction to keep an eye on internal calls, any failed subcalls, and storage writes. We always make it a point to trace back reverts to their original causes, whether that's due to bad allowances, signature failures, or those infamous require messages that can trip us up. If you're curious, you can find all the details right over here. Take a look!
Get Assets and Chains on the Same Page: We're really into using CAIP-19 AssetId and CAIP-2 ChainId throughout our warehouses and in our business intelligence tools. It just makes everything run a lot smoother! Say goodbye to those frustratingly rigid “network” columns that are all about strict data types. If you want to dive deeper into it, just click here for more info!
Respect Finality: We only move “pending” transactions to “final” status once we reach consensus finality, which usually happens around 12. 8 minutes on Ethereum. Also, we want to keep things transparent, so we’ve added a visible status badge right on our KPIs. If you want to dive deeper, you can check it out here. There’s a lot of good info waiting for you!
AA/4337 Readiness: Hey there! Just a quick reminder that it’s really important to keep tabs on those UserOperation metrics and stay updated on the EntryPoint versions, especially v0. 7 is located at the address 0x0000000071727… If you’re still using version 0, So, before those big bundlers pull the plug in 2026, it’s a good idea to sketch out your migration plan. Trust me, you’ll thank yourself later! If you're looking for the release notes, you can check them out here. Happy reading!
Observability First: We send out OpenTelemetry metrics and Grafana SLOs right along with our dashboards. We’re keeping a close eye on everything, making sure to flag any ingestion lags, finality issues, and any cost drift. We've got it all covered! If you want to get started with OpenTelemetry, check it out here. It's a great resource!

What Goes Into the Actual Dashboard (Technical Spec)

Fact Tables So, there's this function called fact_tx_execution that takes a few important pieces of info: the chain_id, the tx_hash, how much gas_used, the base_fee, the priority_fee, the effective_price_wei, and the cost in USD at the time of the block. It's all about tracking transaction details in a blockchain environment! So, here's the breakdown of the function: fact_l1_da(chain_id, tx_hash, calldata_bytes|blob_bytes, l1_gas_price, da_cost_wei, compression_ratio). It takes a few important inputs like the chain ID, transaction hash, and the sizes of the data (either in calldata or blob form). Plus, it also needs the L1 gas price, the cost in wei for the data availability, and the compression ratio. It’s pretty straightforward once you get the hang of it! Hey there! So, here’s what you need to know about the fact_userop function. It takes in a few different parameters:
op_hash: This is basically a unique identifier for the operation.
sender: This refers to the person or entity that initiated the operation.
status: This tells you the current state of the operation (like whether it’s been completed or is still pending).
call_gas: This is the amount of gas that’s been allocated for the actual call.
verification_gas: This refers to the gas set aside for verifying the operation.
preverification_gas: This is the gas reserved for any checks that happen before verification.
refunds: If there are any refunds tied to this operation, they’ll be mentioned here.
paymaster_spend: This parameter details the spending related to the paymaster.

So, there you have it! These are the building blocks for understanding how fact_userop works.

dim_asset(caip19, symbol, decimals)
dim_campaign(id, medium, creative, country).

This is likely a function or a command that deals with campaigns, right? It’s got some key components: the id helps identify the campaign, medium tells us where it’s being promoted, creative probably refers to the actual content or ads, and country gives us the geographical context. Pretty straightforward!

Views Alright, so to figure out the v_cpca_by_campaign, you just take the total of the costs--like usd_cost_at_block, da_usd, and paymaster_usd--add them all up, and then divide that by the number of completed actions. Simple as that! So, to figure out the payback, you just take the cumulative margin and divide it by the cumulative cost, and then you’ll need to check that finality flag too.

Check Out This BigQuery Snippet for Daily Wallet Claim Completions (Using Ethereum as Our Example Dataset).

SELECT DATE(block_timestamp) AS day, COUNT(1) AS claims
FROM bigquery-public-data.goog_blockchain_ethereum_mainnet_us.logs
WHERE topics[SAFE_OFFSET(0)] = '<keccak(Claimed(...) topic0)>'
GROUP BY day;

We tweak the schemas depending on the chain and the event. Thankfully, Google’s curated tables really help make this process a whole lot easier! (cloud.google.com).

How We're Gonna Nail This in 90 Days (Enterprise-Ready)

Okay, let’s dive into our game plan for knocking this out in just 90 days. And honestly, I’m pretty excited because it's going to be totally enterprise-ready!

Step 1: Define Our Goals

Alright, first things first: let’s figure out what we’re actually trying to accomplish here. So, here’s what we really need to dive into:

Pinpoint the Must-Haves: What are the essentials we just can't do without?
Set Clear Milestones: Alright, let’s divide the timeline into smaller, more manageable pieces. It’ll make things so much easier to tackle!
Gather Requirements: Let’s figure out what we need to get done. We really want to nail down what’s expected from us.

Step 2: Assemble the Dream Team

Alright, now it’s time to bring in the right folks. So, here's what we need:

Project Manager: Basically, this is the person who makes sure all the pieces are falling into place and that everything stays on schedule. They're the glue that holds it all together!
Developers: These are the creative minds who will bring this project to life.
Designers: They’re the creative minds behind making everything look and feel fantastic!
QA Team: We need to make sure everything runs smoothly!

Step 3: Create a Kickass Plan

Alright, let’s dive into the details and come up with a solid plan! Alright, let’s break down how we can tackle this:

1. Sprint Planning: We'll divide our tasks into sprints, likely running in two-week cycles. 2. Daily Stand-ups: These are great for making sure everyone knows what's going on and keeps things progressing smoothly. 3. Regular Check-ins: Let’s keep tabs on our progress and ensure we’re hitting those milestones right on schedule.

Step 4: Build and Iterate

Welcome to the fun part! We're about to dive into the building process, but just a quick reminder:

MVP First: Let’s whip up a minimum viable product and get it out the door as soon as we can.
Feedback Loops: Let’s make sure to gather thoughts and insights from our stakeholders along the way.
Iterate: Always look for ways to get better by listening to feedback.

Step 5: Testing and Quality Assurance

Before we get this thing off the ground, we need to give it a good test drive.

Functional Testing: Let’s ensure that everything is running smoothly and doing what it’s supposed to do.
User Acceptance Testing: It’s time to get some actual users in there to give it a whirl!
Bug Squashing: Let’s hunt down and fix any pesky issues before we launch!

Step 6: Launch Day Ready

We're almost there! Let’s wrap everything up and get ready for the launch.

Deployment Plan: Make sure you have a solid game plan for how you’re going to roll this out.
Training Materials: We should definitely ensure that everyone feels comfortable using it.
Marketing Strategy: Let’s get the word out about our fantastic new offering!

Step 7: Post-launch Support

Once we launch, the journey is just beginning!

Keep an Eye on Performance: Just check in regularly to see how it’s doing.
Collect Feedback: Pay attention to what users are saying so we can make things better moving forward.
Ongoing Improvements: We're always working on making things better and better as time goes on.

Conclusion

With this plan ready to go, we're really on track to make some big moves in just 90 days! Let’s keep the lines of communication open and stay flexible. Together, we’re going to tackle this and come out on top!

Days 0-14: Design + Proof Points

So, you've got your KPI contract all lined up with CAIP-19 and the ABI map in place. Plus, your finance partner has already taken a look at those cost functions, right? Great news! We've got data access all lined up and ready for you. BigQuery is good to go, and we've also set up a secure node and trace provider. Just to add a bit more info, we’re also tapping into the Etherscan V2 gas oracle as a backup source. Take a look at this: (cloud.google.com). It’s pretty interesting!
Just a heads up: If you're considering paymasters, it could be worth checking out AA pilot instrumentation. We've also introduced some new bundler metrics hooks to help you keep track of everything more easily. If you want to dive deeper into this, you can check out more info right here: docs.erc4337.io.

Days 15-45: Implement + Reconcile

Alright, let’s jump into ETL and get those fact tables all set! We’ll be running some unit tests to compare predicted fees with receipt deltas. Our goal is to keep everything within a ±3-5% error margin for each chain. Let's make sure we nail this! Oh, and just a heads up, we’re going to refine things a bit with those specific scalar parameters for the chains, you know, like the OP Ecotone and Arbitrum pricers. For more info, feel free to check it out here. It’s a great resource!

We're putting together a finality-aware pipeline, which is pretty exciting! This means we'll actually have our Service Level Objectives (SLOs) fully operational and live for everyone to see. We'll be using OpenTelemetry and Grafana to keep tabs on everything. If you're curious to dive deeper into that topic, check out this link: OpenTelemetry. It’s a great resource!

Days 46-90: Prove and Hand Off

Hey! Just wanted to let you know that we’ve got the CFO and PM views live and ready to go. Plus, the SOC2 evidence pack is all good to go too--it’s got everything you need, like lineage, access details, and attestations.

Set up a regular rhythm for tracking our go-to-market metrics, like weekly reports on CPCA, conversion rates, and payback periods. On top of that, we’re passing along links and EAS attestations to our partners. Take a look at this: easscan.org. You'll find some pretty interesting stuff there!

Proof with GTM metrics (what we measure and move)

Time-to-insight: Our goal is to roll out that first CFO-ready dashboard within 30 days or even sooner, while making sure everything stays secure and reliable.
Cost attribution accuracy: We're aiming for our accuracy to be within ±5% when we compare it to the receipts from our target chains during user acceptance testing (UAT). To make sure we're on the right track, we'll verify this with a sample of 1,000 transactions for each campaign.
Sponsorship efficiency (AA): Let's aim to trim down those "wasted" UserOps--those pesky failed validations and executions--by at least 25%. That way, we're making better use of our resources! We’re going to pull this off with some fantastic simulateValidation fixes and a few pre-flight UX improvements. It’s going to make a big difference! Take a look at this: docs.erc4337.io. It's got some great info for you!
Tracking DA Savings After Dencun: We’re aiming to ensure that at least 90% of the reductions in Layer 2 fees come from blob pricing instead of just execution. This approach will help us lock in our budget plans for the future. Check out all the details here: investopedia.com. You won't want to miss it!
Audit lead-time: We’re all set with the SOC2 evidence binder! It’s packed with KPI signatures and EAS attestations--ready to roll! We’ve really streamlined the procurement process by getting rid of all that annoying back-and-forth about “data provenance.” More info here: aicpa-cima.com.

Implementation Considerations and Engineering Tips

Hey there! So, if you’re messing around with NFTs or dealing with a lot of metadata, and you want to keep your structured data securely on-chain, I’d definitely recommend checking out write-once storage methods like SSTORE2. It’s a solid choice! You’ll definitely save some cash on gas! Make sure to check out the ROI dashboard to keep track of how things are going. You’ll see the impact displayed as “$ per kB on-chain.” It’s a handy way to gauge performance! ” (github.com).

If you’re thinking about batch mints, definitely look into using ERC-721A or ERC-1155 when it fits your needs. They can really simplify things and make the process smoother! Breaking down the cost per mint versus ERC-721 Enumerable is a smart move. This way, you can easily highlight the gas savings in terms of actual dollars for procurement. It’ll make the value really clear! (alchemy.com).

When you're trying out chain selection, it's super important to check out how your CPCA reacts to a few key things. Pay attention to (a) blob prices, (b) those pesky L1 gas spikes, (c) operator fees, and (d) any fluctuations in basefee. These factors can really impact your results! With this method, you'll steer clear of picking a network just because of those tricky “average fee” charts that can be really misleading. (docs.optimism.io).

When it comes to AA migrations, don’t forget to keep an eye on how EntryPoint v0 is being adopted. We're working on keeping the addresses consistent across all the chains and are gearing up to gradually phase out v0. So, your plan for the second and third quarters includes six key points. That way, you can avoid any problems with bundler support. (github.com).

Where 7Block Labs Fits in Your Stack

Strategy to Sprint We collaborate with the product, finance, and GRC teams to gather the necessary KPI evidence and put the finishing touches on that cost engine you’re looking for.
Build and Integrate We're really focused on creating awesome dashboards with our custom blockchain development services. Plus, we love setting up dApps using our web3 development services. And when it comes to connecting data to your systems, we've got you covered with our blockchain integration solutions.
Harden and Scale When you're in need of a security check-up, don't forget about us! Our security audit services are here to help. Plus, if you're looking to roll out projects across different networks, we've got you covered with our cross-chain solutions development. Just reach out, and let's make your project even better together!
Solutions Breadth Hey there! If you're diving into that user-facing layer, we’ve got you covered with some awesome services. Check out our dApp development, smart contract development, and even campaign mechanics like asset tokenization. Just click on the links to learn more about each one!

Why This Works for Enterprise Procurement

Focus on the facts: Each key performance indicator (KPI) ties back to an on-chain receipt, a trace, or a confirmation.
We're pretty big on transparency around here! Just so you know, our SOC2 alignment is all laid out and super easy to export whenever you need it. Check it out here.
Deterministic cost engine: Instead of just guessing, we turn our fee formulas into actual code. This way, everything's clear and precise! Think of it like this: you're looking at EIP-1559, the OP Stack Ecotone/Isthmus, or maybe even the Arbitrum pricer. These are all pretty significant topics in the crypto world.
On top of that, we make sure to go through everything every day to keep everything running smoothly. If you want to learn more, just check out EIPs. It's got all the details you need!
Operational discipline: Thanks to our finality-aware pipelines, service level objectives (SLOs), and alerting systems, you can count on the reliability your business intelligence (BI) and governance, risk, and compliance (GRC) teams crave. We've got you covered! Discover more here.

Concise Technical Appendix (Citations)

So, EIP-1559 rolls out this new base and priority fee system, which really shakes things up. It explains how to figure out what the actual gas price should be. Feel free to take a look at it here!

If you’re curious about OP Stack fees and want to dive into the nitty-gritty of Ecotone/Isthmus--like blob pricing and operator fees--check out this link. It’s got all the info you need!

Hey there! Wondering how Arbitrum handles its fees? They've got a pretty interesting system going on that includes things like a child base fee, a parent calldata pricer, and some backlog windows. If you want to dive deeper into how it all works, check out the details here.

Hey there! If you're curious about how the recent fee cuts from post-Dencun L2 could affect your budgeting, you might want to take a look at this article. It breaks things down really well!

If you’re into analytics, you’ve gotta check out the BigQuery curated blockchain datasets--they really speed things up! If you want to dive deeper into this, check out the details here. There's definitely more good stuff waiting for you!

Looking to keep an eye on AA/4337? Check out EntryPoint v0. You can check out the details on the 7 address and monitoring metrics right over here.

When it comes to reconciliations, you can't go wrong with Erigon tracing. It really is the best option! If you're curious and want to dive deeper, check it out here.

Hey, if you want to really understand how finality parameters work--like epochs and slots that are key to those closing processes--I'd recommend checking out this spec. It's super helpful and will give you the lowdown!

Finally, when it comes to making sure our data is reliable, using OpenTelemetry along with Grafana SLOs is super important. For more info, just check it out here.

Are you tired of hearing “blockchain ROI TBD”? Well, our team is here to change that! We've got a dashboard that bridges the gap from Solidity right to the CFO. Let’s make those numbers clear!

Book a 90-Day Pilot Strategy Call

Are you excited to kick off your journey? Let’s get together for a 90-Day Pilot Strategy Call! This call is a great opportunity for us to dive into your goals and make sure you’re all set for success. Just hit us up to schedule a time! Let’s jump in and whip up a plan that’s tailored just for you!