Currently available for select engagements

Hire Amplitude Expert — behavioral analytics that drives growth

Amplitude rewards good instrumentation and punishes sloppy setups brutally. Teams that fire events without a taxonomy end up with dashboards full of noise — while teams with a governed event schema get lifecycle cohorts, predictive insights, and experimentation that actually moves activation and retention numbers.

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15+

Years Experience

100+

Projects Delivered

Countries Served

$25M+

Revenue Enabled

I'm Omer Muneer Qazi, a Dubai-based Fractional CTO & Solutions Architect with 15+ years of experience and 100+ projects delivered across 6 countries. I implement Amplitude around your growth model — activation, engagement, monetization — with governance that keeps the data clean as your team grows.

What You Get

Amplitude built for growth decisions

Event taxonomy and governance

A governed schema for events and user properties with naming rules, ownership, and a review process — so Amplitude stays trustworthy as ten developers ship features.

Lifecycle instrumentation

Tracking mapped to your user lifecycle: acquisition, activation, engagement, retention, revenue. Every stage measurable, every metric owned by someone.

Cohort and retention analysis

Behavioral cohorts, retention curves, and stickiness analysis that show which behaviors predict long-term users — the foundation of every growth experiment worth running.

Experimentation framework

Amplitude Experiment wired with proper exposure events and metric definitions, so your team tests changes with statistical discipline instead of vibes.

Predictive and anomaly insights

Personas, predictions, and anomaly detection configured on the metrics that matter, surfacing shifts before they become quarterly surprises.

Growth team training

Hands-on sessions so your growth and product people build their own charts, run their own cohorts, and stop waiting on engineering for answers.

How It Works

From messy events to growth engine

A structured engagement with no surprises — you’ll always know what’s happening and what’s next.

Growth model mapping

We define your activation metric, retention definition, and revenue events — the skeleton everything else hangs on.

Taxonomy and instrumentation

The event schema is designed, governed, and implemented across your platforms with validation at every step.

Analysis and experimentation

Cohorts, funnels, and your first experiments are built on the clean data, with results your team can defend.

Governance handover

You get the schema docs, review process, and trained team members who keep the data clean going forward.

Why Omer

Why hire an Amplitude expert through a Fractional CTO

Amplitude is a growth tool, not a reporting tool — and most failed implementations treat it like the latter. I tie every event to your growth model and enforce the governance that keeps insights trustworthy at scale.

I review taxonomy decisions technically and growth decisions strategically, so neither side of the work gets shortchanged. To talk through your activation and retention goals, contact me with a short brief.

FAQ

Frequently asked questions

Amplitude vs Mixpanel — which should we choose?

Both are excellent product analytics platforms. Amplitude leans stronger on behavioral cohorts and built-in experimentation; Mixpanel on flows and boards. The bigger factor is implementation quality — either one fails with a bad taxonomy. I help you pick based on your stack and team.

Can you migrate us from Mixpanel to Amplitude?

Yes. Migrations map the existing event taxonomy, preserve historical comparability where possible, and rebuild dashboards and experiments in Amplitude — usually a three to five week engagement.

How do you keep Amplitude data clean as we scale?

Governance: a documented schema, event approval for new tracking, automated validation in CI, and periodic audits. The engagement sets all of this up so cleanliness survives team growth.

Do you set up Amplitude Experiment too?

Yes — exposure logging, metric definitions, and guardrails are part of the standard engagement, because analytics without experimentation is just expensive observation.

What does an Amplitude engagement cost?

A focused implementation runs two to four weeks; larger multi-platform setups with experimentation run longer. Scope is fixed after the growth model mapping call.

Behind the dashboards

How I make Amplitude numbers survive contact with a real product team

When someone sets out to hire an Amplitude expert, they usually already have Amplitude installed and a quiet suspicion that the charts cannot be trusted. My first week is rarely spent in the Amplitude UI at all. I trace where every event is born: client SDK versus server, whether it routes through a CDP like Segment, RudderStack or mParticle, and what mutates it on the way. Most broken Amplitude setups are not an Amplitude problem; they are a pipeline problem. Duplicate events from a double-mounted SDK, revenue logged client-side where an ad blocker can drop it, and properties set after the event has already fired all produce dashboards that look plausible and are quietly wrong.

The data model is where good instrumentation is won or lost. I separate what belongs on an event, what belongs on a user property, and what belongs on a group property, because conflating them is the single most common mistake I inherit. Identity resolution gets explicit attention: how device_id and user_id reconcile into Amplitude's canonical ID, how an anonymous visitor merges into an identified user at sign-up, and where that merge silently fails and splits one person into two. For B2B products I bring in Amplitude's Accounts and group analytics so you can reason about companies and seats, not just individual users. I also watch cardinality, because a free-text property on a high-volume event quietly makes whole reports unusable.

Governance only holds if it is enforced in code, not in a wiki nobody reads. I define a tracking plan in Amplitude Data (or an Avo-style spec), wire validation into CI so an event that drifts from the schema fails the build, and use blocked events and transformations to stop malformed or PII-bearing data before it lands. Cost is part of this conversation, not an afterthought: Amplitude bills on event volume, so I audit high-volume, low-insight events, send pure telemetry to your warehouse instead, and reserve Amplitude for behaviour that actually informs decisions. I set up warehouse sync to Snowflake or BigQuery so your data team and your product team are looking at the same truth.

What good looks like is boring in the best way: a North Star metric that decomposes into a handful of durable events, funnels that do not break when marketing renames a button, and a self-serve layer the team actually trusts. The mistakes I most often fix are over-tracking (every click logged, nothing meaningful findable), generic event names that collide across surfaces, correlation in a conversion-drivers report mistaken for causation, and session logic that was never configured so engagement metrics are fiction. When you hire an Amplitude expert, you are really buying the judgement to decide what not to track and the discipline to keep that decision true a year from now.

Who it's for

When clients hire me for this

The dashboards stopped matching reality

Amplitude says one thing, Stripe and the production database say another, and nobody trusts the retention curve in the board deck anymore. I reconcile the discrepancy to its root, usually a broken identity merge, a duplicated event, or revenue tracked somewhere an ad blocker can kill it, then rebuild the affected reports on instrumentation that reconciles to source.

A CDP migration that broke tracking

You moved to Segment or RudderStack and now events double-fire, properties go missing, or the old and new schemas coexist in one confused instance. I map both pipelines, decide what routes through the CDP versus the Amplitude SDK directly, and cut over cleanly so historical and new data stay comparable.

A B2B product that needs an account-level view

Per-user charts cannot answer the questions sales and success actually ask, like which accounts are expanding seats or going quiet. I set up Amplitude's group analytics so you can build cohorts and retention on companies and workspaces, not just individuals, and tie product usage to account health.

The Amplitude bill outgrew the plan

Event volume blew past your tier and finance is asking why. I audit what is actually driving the count, retire noisy events that inform no decision, move raw telemetry to your warehouse instead of Amplitude, and restructure high-cardinality tracking so you keep every insight that matters at a far lower volume.

Questions buyers ask

Can you audit and fix our existing Amplitude setup instead of starting over?

Yes, and it is the more common reason people hire an Amplitude expert. I rarely rip out a live instance. I run an event inventory, check identity resolution, flag duplicate and dead events, and measure your taxonomy debt, then hand you a prioritised remediation plan. We fix what is actively misleading first, usually identity and revenue, before touching anything cosmetic, so trust in the numbers is restored quickly.

Do we actually need a CDP like Segment, or should events go straight into Amplitude?

It depends on how many places your data needs to reach. If you send the same events to Amplitude, a warehouse, ad platforms and marketing tools, a CDP such as Segment or RudderStack earns its cost as a single collection and routing layer. If Amplitude plus a warehouse sync is your whole picture, the direct SDK is simpler, cheaper and has fewer moving parts to break. I will give you the honest call for your stack rather than default to a CDP.

Can you cut our Amplitude costs without losing data we rely on?

Usually, yes. Amplitude bills on event volume, and most instances carry a large tail of high-volume events that inform no decision. I identify those, consolidate events that should have been properties, route pure diagnostic telemetry to your warehouse instead, and restructure high-cardinality tracking. The aim is to keep every event that drives a real decision while removing the noise that quietly inflates the bill.

Do you handle mobile and server-side tracking, or only web?

Both. I instrument native iOS and Android, React Native and Flutter, and I use server-side tracking via Amplitude's HTTP V2 API and the Ampli wrapper for anything that must be trustworthy, like payments, subscription changes and backend lifecycle events. Client-side is fine for UI interactions; revenue and critical state belong on the server where ad blockers and flaky networks cannot drop them. Most real products need a deliberate hybrid, and I design that split explicitly.

Can you connect Amplitude to our data warehouse?

Yes. I set up warehouse sync and export to Snowflake, BigQuery or Redshift so your analytics engineers and your product team work from the same numbers, and I can enrich Amplitude with warehouse-derived properties through reverse ETL. Where it fits, I treat the warehouse as the source of truth and keep Amplitude as the behavioural layer on top, so the two never drift into separate versions of reality.

You are in Dubai. How do you work with a remote team, and how fast can you start?

I work with teams across the UAE, UK, US, Canada, Pakistan and Malaysia, so I run async by default and keep live overlap with European mornings and, when needed, early or late US hours. To start I need admin access to your Amplitude org, a sandbox or staging project, and one call to map your growth model. With access granted, I can usually begin the audit within a few days.

Currently available for select engagements

Make Amplitude drive growth

Describe your activation and retention goals — I will scope an Amplitude implementation built around them.

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