MiaProva runs your optimization program, watches AEP for the failures that stay quiet, and fires alerts when something moves. Bring your own model and key. The agents work across all of it, grounded in your data.
Connected to Adobe Target, Analytics, AEP, CJA, plus GA4 and BigQuery. Runs in your GCP account or Adswerve-managed.
The work, the data health behind it, the agents that move it forward, and the alerts that keep it honest. MCP tooling sits underneath as the connective layer, not the headline.
Plan, prioritize, assign, and document every test and personalization initiative. Owners, statuses, and outcomes stay visible instead of scattered across decks and threads.
Score audience complexity, catch batch failures the day they happen, and audit audience health before they quietly cost you a campaign.
Bring your own model and key. Configure agents against your sources of truth, then point them at the work. The same framework runs across every surface here.
A heads up when a KPI shifts, tracking breaks, an experiment drifts, or a batch job fails. Routed to the person who owns the fix, in the channel they already use.
Every agent is grounded in a specific source of truth and produces a specific output, and each one works on a different stage of the platform. Bring your own model and key.
Audiences get complex, batch jobs fail silently, and CJA and Analytics quietly disagree. MiaProva makes all three visible before they cost you.
A single score for any AEP audience definition, weighing rule depth, profile attribute references, and nested logic. Spot the audiences that are quietly too complex to maintain, and get a recommendation to simplify.
Every batch segment job checked daily. When one fails, you hear about it that morning, routed to the owner, not three weeks later when activation underdelivers.
A learning service that models expected variance between CJA and Adobe Analytics, so a real discrepancy stands out from normal noise instead of triggering a false fire drill.
Plan, prioritize, assign owners, and document decisions end to end. Import from Jira and Workfront, map work to initiatives, and keep status and impact in one place. Then let the agents move it forward.
Wins, losses, anomalies, guardrail breaches, tracking gaps, and batch failures. Each lands with the person who can act on it.
MCP tooling is how every agent gets platform-aware context. Tailored ask-your-data workflows for each ecosystem, so teams move fast while reporting stays accurate and consistent. It powers the work above rather than replacing it.
Purpose-built for Adobe concepts: report suites, segments, dimensions, metrics, Target activities, experiences, and audiences, with A4T-aware reporting when it matters.
Fast answers from GA4, with BigQuery depth when a question needs custom logic, joins, cohorts, or warehouse-scale analysis.
What MiaProva does across optimization management, Adobe Experience Platform, custom agents, and alerts.
MiaProva is an optimization management and AEP observability platform that applies AI to Adobe and Google marketing data. Teams plan and track testing and personalization programs, monitor the health of their Adobe Experience Platform data, deploy custom AI agents, and get proactive alerts, all grounded in their own KPI definitions.
MiaProva adds observability to AEP. It scores audience complexity from 0 to 100, monitors daily batch segment jobs and flags failures the morning they happen, audits audience health, and learns the expected variance between Customer Journey Analytics and Adobe Analytics so real discrepancies stand out.
Audience Complexity Scoring gives any AEP audience definition a single score from 0 to 100 based on rule depth, profile attribute references, and nested logic. It surfaces audiences that are quietly too complex to maintain and recommends where to simplify.
MiaProva ships a roster of agents that each work on a stage of the platform. Experience Insights detects sample ratio mismatch, Results Summary writes stakeholder-ready readouts, Backlog Builder turns insights into a prioritized backlog, Live Monitoring watches KPIs, and a GA4 plus BigQuery agent handles deeper analysis. You can bring your own model and key.
MiaProva connects to Adobe Target, Adobe Analytics, Adobe Experience Platform, Customer Journey Analytics, GA4, and BigQuery, and integrates with Jira, Adobe Workfront, Slack, and Microsoft Teams.
MiaProva sends risk-mitigating alerts when a KPI shifts, tracking breaks, an experiment drifts, a guardrail is crossed, or an AEP batch job fails. Alerts route to the owner by email, Slack, or Microsoft Teams.
MCP tooling gives MiaProva's agents platform-aware context through two experiences, one for Adobe (Analytics and Target, A4T-aware) and one for Google (GA4 and BigQuery). It lets teams query and analyze data in natural language while reporting stays accurate.
MiaProva runs in your own Google Cloud account or in Adswerve-managed hosting, so you choose the security and governance model. MiaProva is an Adswerve company.
We will walk through your Adobe and Google stack and show the agents, AEP observability, optimization program, and alerts working together on your metrics.
Prefer email? Reach us at support@miaprova.com.
