01
Tools Exist Without a Shared Architecture
Analytics, attribution, CRM, lifecycle, subscription, experimentation, and BI platforms each work in isolation while critical definitions drift between them.
Mobile MarTech Audit
Make Your Mobile Growth Stack Work as One
Grovix audits the tools, data flows, integrations, ownership, activation paths, and operating cost connecting acquisition, product, lifecycle, subscriptions, and revenue. It then turns the evidence into a prioritized 90-day remediation roadmap.
For growth, product, CRM, data, and engineering leaders dealing with conflicting data, slow activation, unclear ownership, tool overlap, rising cost, or an upcoming stack redesign.
The Stack Problem
Disconnected Tools Create Expensive Decisions
A MarTech stack becomes expensive and fragile when its parts are bought separately, owned by different teams, and never validated as one system from signal collection to activation.
02
Valuable Signals Arrive Late or Not at All
Identity breaks, missing properties, duplicate events, stale audiences, and unreliable integrations prevent teams from acting on product and revenue behavior.
03
Cost Grows Faster Than Decision Quality
Licenses and engineering maintenance accumulate, but no owner can show which capabilities are adopted, redundant, trusted, or tied to better growth decisions.
The Engagement
An Independent Audit With an Executable Next Step
The audit can stand alone as a decision document or become the foundation for implementation. Replacement is never the default recommendation.
Engagement format
Independent cross-functional stack audit, followed by optional architecture, implementation, migration, QA, or optimization support.
Timing
Audit timing is confirmed after the stack, priority journeys, access, and stakeholder map are reviewed. The core deliverable is a sequenced 90-day remediation roadmap.
What you receive
- Current-state architecture and capability inventory
- Risk, value, overlap, and operating-cost assessment
- 90-day roadmap with owners, dependencies, and acceptance criteria
What we need from you
- Tool inventory, contracts, owners, and representative configurations
- Priority customer journeys and blocked business decisions
- Growth, CRM, product, data, engineering, and procurement stakeholders
Our Method
A Decision-Led, Evidence-First Audit
We evaluate the stack through the business decisions, customer journeys, and activation flows it must support, not through a generic vendor checklist.
Map the Stack Around Decisions
We inventory the tools, SDKs, integrations, owners, costs, and business decisions connecting acquisition, product, lifecycle, subscriptions, and revenue.
Test Signals End to End
We follow representative users and business signals through the stack to find data loss, duplication, identity breaks, delayed activation, and reporting risk.
Build the Remediation Roadmap
Every finding is translated into a sequenced roadmap with business impact, effort, dependencies, owners, and acceptance criteria, not a generic tool wishlist.
Engagement Scope
The Mobile MarTech Audit Scope
The scope is tailored to your growth model, customer journey, platform mix, data maturity, and the decisions currently blocked by the stack.
Stack Inventory & Redundancy
Map analytics, MMP, CRM, CDP, lifecycle, experimentation, subscription, consent, BI, and warehouse tooling; expose overlap, unused capability, and avoidable complexity.
Event, Identity & Source of Truth
Review event definitions, properties, user and device identifiers, account merging, revenue logic, environments, ownership, and the system responsible for each business fact.
Integration & Data-Flow Health
Validate SDK, S2S, webhook, callback, export, warehouse, partner, and reverse-ETL paths for completeness, duplication, latency, and failure handling.
Audience & Signal Activation
Check whether acquisition, product, subscription, and lifecycle signals reach the right destinations with usable timing, consent, suppression, and conversion semantics.
Privacy, Access & Governance
Assess consent-aware data sharing, platform permissions, retention, access, documentation, change control, QA ownership, and the operational response to broken data.
Vendor Value & Operating Cost
Compare license cost and engineering overhead with adoption and decision value to identify consolidation, renegotiation, enablement, or replacement opportunities.
Engagement Outputs
What Your Teams Can Act on Next
The audit connects technical findings to growth impact and operating cost, then makes sequence, ownership, and the next decision explicit.
Current-State Architecture
A documented view of tools, SDKs, identities, critical events, data flows, destinations, owners, dependencies, and known blind spots.
Risk & Value Assessment
Findings ranked by decision risk, growth impact, privacy exposure, operational fragility, cost, effort, and confidence in the supporting evidence.
90-Day Remediation Roadmap
A sequenced plan covering quick wins, foundational repairs, strategic changes, suggested owners, implementation dependencies, and acceptance criteria.
Audit
A senior-led step with a clear owner and decision rule.
Prioritize
A senior-led step with a clear owner and decision rule.
Implement
A senior-led step with a clear owner and decision rule.
Learn
A senior-led step with a clear owner and decision rule.
Engagement Fit
Built for Teams Losing Time Between Tools and Decisions
The audit is most valuable when growth depends on several technical systems and no single team can confidently explain how a customer signal becomes a decision, audience, or lifecycle action.
Good fit · 01
Your analytics, MMP, CRM, subscription, and backend systems disagree on users, conversions, or revenue.
Good fit · 02
Audiences, lifecycle triggers, conversion signals, or experiment results are delayed, incomplete, or difficult to trust.
Good fit · 03
New tools have been added over time, but adoption, overlap, ownership, and total operating cost are unclear.
Good fit · 04
You are planning a migration, consolidation, privacy review, warehouse project, or broader data and growth transformation.
Measurement
Measure the Stack by What It Enables
Success is not the number of tools connected. It is whether trusted signals move through the stack quickly enough for teams to decide, activate, learn, and improve economics.
Decision Trust
Definition consistency, event completeness, identity coverage, reconciliation variance, data freshness, and confidence in each system of record.
Activation Readiness
Audience eligibility, destination coverage, signal latency, lifecycle-trigger success, suppression accuracy, and conversion-event usability.
Stack Efficiency
Capability adoption, tool overlap, license and maintenance cost, incident frequency, ownership coverage, and time required to implement or diagnose changes.
The audit identifies and prioritizes evidence-backed improvements; it does not assume every discrepancy is an error or that replacing a tool is automatically better than repairing governance, configuration, or adoption.
Frequently Asked Questions
How is a MarTech audit different from an MMP audit?
An MMP audit focuses on attribution, partner integrations, links, privacy measurement, and campaign data. This audit examines the wider operating system around it, including product analytics, CRM and lifecycle, subscriptions, experimentation, consent, BI, warehouse flows, governance, cost, and whether signals can actually be activated. Choose Mobile Analytics & MMP when the primary problem is measurement implementation, attribution, or migration.
What do we receive at the end of the audit?
You receive a current-state stack and data-flow map, a source-of-truth and ownership matrix, an evidence-backed risk and opportunity register, and a prioritized 90-day remediation roadmap with effort, dependencies, owners, and acceptance criteria.
Will you recommend replacing our current tools?
Only when the evidence supports it. We first look for configuration, governance, integration, adoption, or operating-model problems. A replacement recommendation must show a material advantage over repairing or simplifying the current stack, including migration cost and implementation risk.
How much engineering involvement is required?
We need access to the people who understand the app, backend, data, and growth workflows, plus representative environments and documentation. The audit is designed to protect engineering time by concentrating technical validation on decision-critical journeys and turning findings into implementation-ready actions.
Is this a legal or privacy compliance audit?
No. We review operational privacy controls, consent-aware data flows, platform settings, access, retention, and documentation as they affect the MarTech system. We do not provide legal certification or replace specialist legal and privacy counsel.
Can Grovix implement the remediation roadmap?
Yes. The audit can remain an independent diagnostic engagement, or Grovix can support architecture, implementation specifications, vendor configuration, QA, migration, reporting, and ongoing optimization. The roadmap keeps those phases explicit so you can decide what to own internally.
Know What to Fix, Keep, Consolidate, and Replace
Start with a senior-led audit of the tools and data flows behind your mobile growth engine, then leave with an evidence-backed 90-day roadmap your growth, product, CRM, data, and engineering teams can execute together.
Request a Mobile MarTech Audit