Product analytics that your team can actually trust and use
If you are running a SaaS product, marketplace, or mobile app, you already know there is a gap between what your reports say and what is really happening in the product. You do not need more dashboards. You need clean tracking, clear events, and a way for your team to answer real questions without arguing about the data.
BYBOWU is a product and data engineering team based in Phoenix, AZ, working with SaaS, ecommerce, and marketplace companies across the US and worldwide. As part of our Data Engineering & BI services, we offer focused product analytics implementation so your product, marketing, and operations teams can see what is working, what is not, and where to focus next.
Common analytics problems we fix
Most teams come to us after trying to roll their own setup or living with a messy legacy implementation. Typical symptoms:
- Events are named inconsistently across web, iOS, and Android, so reports are confusing or impossible to compare.
- There is no single source of truth for a "signup", "activation", or "conversion" event.
- Marketing, product, and finance teams each use their own tools and definitions, so numbers never match.
- Dashboards exist, but no one trusts them enough to make real decisions.
- Key funnels (onboarding, checkout, subscription upgrade) are not tracked end to end, so you are guessing about drop-off points.
- Engineers are constantly pulled into one-off tracking tickets, which slows feature work.
Our job is to replace that chaos with a clear, documented analytics foundation that is stable, maintainable, and decision-ready.
How we approach product analytics implementation
We treat analytics as a product, not an afterthought. That means tight collaboration between your product, growth, and engineering teams and our data engineers.
- Clarify goals and questions. We start with what you actually need to decide. For example: Which acquisition channels create the most retained users? Which onboarding steps cause the most churn? Which feature usage patterns predict expansion revenue?
- Define events and properties. We create a tracking plan that defines core events, user properties, account properties, and naming conventions. You see a clear map of what will be tracked, where, and why.
- Choose and connect tools. Depending on your stack and stage, that might include product analytics tools, CDP or event routers, data warehouses, or custom event pipelines. We integrate with your existing tools where it makes sense.
- Implement tracking. We work with your developers or handle implementation on web and mobile. That can include client-side SDKs, server-side events, and integration with your backend or API layer.
- QA and data validation. Before you rely on any chart, we validate event firing, properties, identities, and funnels across devices and environments. We document known edges and ensure future changes are easier to test.
- Dashboards and enablement. We build practical dashboards and saved reports, then run a hands-on walkthrough with your team so they know what exists, how to use it, and where to go for deeper questions.
What you get as concrete deliverables
Every product analytics implementation comes with tangible assets your team can keep using and evolving:
- A written analytics strategy tied to product and business goals.
- A tracking plan with event names, descriptions, properties, and where each event fires.
- Implemented tracking across your main platforms (web, iOS, Android, backend) within agreed scope.
- Configured funnels, cohorts, and retention reports for your core journeys.
- Role-based dashboards for product, marketing, and leadership.
- Documentation for naming conventions, identity resolution, and how to request new events.
- Optional connection of product data to your BI stack via ETL & Data Pipelines and Dashboards & Reporting.
What you can order
- Analytics Health Check — A focused audit of your current tracking, events, and dashboards. We map what exists, identify gaps, and deliver a prioritized list of fixes along with a recommended tool and data strategy.
- Core Funnel Implementation — Design and implementation of tracking for 1–2 business-critical flows, such as onboarding and checkout or signup and first-value. Includes a tracking plan, event implementation guidance, and ready-to-use funnel and drop-off reports.
- Full Product Analytics Setup — End-to-end implementation for your primary web and mobile products. We define your analytics taxonomy, implement events across platforms, connect to your data warehouse if needed, and create dashboards for product, growth, and leadership.
- SaaS Metrics & Subscription Analytics — A focused package for subscription products. We align product events with billing data, so you can see MRR, churn, expansion, and feature usage in one place. Often paired with Billing & Subscriptions services.
- Ongoing Analytics Partner — Monthly support where we maintain your tracking plan, review new features for event coverage, update dashboards, and support experimentation. Ideal if you want a lean internal team backed by senior analytics support.
How engagement works with BYBOWU
We keep the process direct and transparent so you can stay focused on running the product, not managing vendors.
- 1. Intro call. We talk through your product, stack, and current analytics pain points. If it looks like a fit, we propose a scoped package.
- 2. Short discovery. We review your tools, existing tracking, and key journeys. You get a written scope with options, timelines, and budget ranges, usually within one business day.
- 3. Implementation sprints. We work in clear phases: tracking plan, implementation, QA, and enablement. You see progress as we go, not only at the end.
- 4. Handover and support. We document everything and train your team. If you want, we stay on through our Support & Maintenance plans or as an on-call analytics partner.
If you are nearby and prefer a workshop-style session, we can meet in Phoenix. If your team is elsewhere in the US or abroad, we run everything smoothly over video and async documents.
Why choose BYBOWU for product analytics implementation
- Product and data under one roof. We build web and mobile products and we build data stacks, so your tracking is grounded in real user flows and technical constraints, not theory.
- Senior ownership, not "set and forget". You work with senior specialists who care about long-term maintainability. We avoid fragile, one-off hacks that break the moment your app changes.
- Clear decisions, not just charts. We start from the questions you need answered, then design events and dashboards around those. The result is fewer vanity metrics and more clarity about what to do next.
- Works with your stack. Whether your product is built on custom SaaS infrastructure, a marketplace platform, or a mobile app, we fit analytics into your existing architecture and workflows.
- Long-term partnership if you want it. Many clients start with analytics, then extend into AI & Automation, new features, or broader custom software work once they see the value of clean data.
Proof it works in the real world
Marketplace conversion clarity
For a modern clothing marketplace, we mapped and implemented product analytics across catalog browsing, wishlist, and checkout flows. This gave the team a clear view of drop-offs and helped them focus UX improvements on the steps that actually affected sales. See project details.
Tactical ecommerce behavior insights
Working with a tactical apparel marketplace, we aligned product tracking with detailed product attributes and internal operations data. This enabled informed merchandising and marketing decisions instead of guessing from top-line revenue alone. See project details.
Real-estate roommate journey tracking
On a roommate-matching platform, we instrumented the onboarding, profile creation, and match flows so the founders could see where users got stuck and which steps actually predicted successful matches. See project details.
B2B dropshipping product and partner analytics
For a wholesaler and dropshipping platform, we connected product usage analytics with partner activity in the portal. This gave operations a single view into which partners were most engaged and where to invest support resources. See project details.
Questions founders usually ask
What tools do you work with for product analytics?
We are tool-agnostic and focus on the right fit for your stage and stack. Many clients use a combination of product analytics tools, event routing or CDP tools, a data warehouse, and a BI layer. If you already have tools in place, we will usually work with what you have and improve structure, events, and reliability rather than forcing a full replacement.
How long does a typical implementation take?
An Analytics Health Check can be done in 1–2 weeks. A focused core funnel implementation is usually 2–4 weeks. A full product analytics setup for web and mobile often runs 4–8 weeks depending on the complexity of your product and integrations. We confirm timelines and milestones with you before starting.
Do you work with our in-house developers or handle implementation yourselves?
Both are possible. For many teams we create the tracking plan, event specs, and QA process, then work closely with your developers as they implement the code changes. In other cases, especially when we already handle your web or mobile app development, we also implement the tracking in code directly.
Will this slow down our roadmap?
Done right, analytics work should support your roadmap, not block it. We align with your upcoming releases, define tracking once per feature, and set up simple patterns your team can reuse. After the initial setup, you should spend less time on one-off tracking tickets and ad-hoc reporting.
How do you handle data privacy and compliance?
We design tracking with privacy in mind. That means minimizing collection of personal data where possible, respecting consent settings, and using tools and configurations that respect regulatory requirements relevant to your markets. If you have specific compliance needs, we fit the analytics design into your existing policies and systems.
What happens after the initial setup?
You get documentation, dashboards, and any required training so your team can operate day to day. If you prefer an ongoing partner, we can stay involved through a monthly analytics retainer or via broader IT & Product Consulting and maintenance support.
Talk through your product analytics needs
If you already know which funnels or metrics are critical, we can usually outline a tracking plan, timeline, and budget range within one business day.
If you are not sure where to start, we can review your current setup and identify the smallest analytics project that would make a real difference for your team.
Contact us for a 24-hour estimate or request a Phoenix product analytics review alongside your web stack.
