The offer agent
Nadia at work
What the agent does, what it's trained on, what it delivers and what the expert decides.
Data & Analytics
Data & Dashboarding foundation
Drive decisions with reliable data
Structure a reliable collection plan, deploy automated dashboards and steer your business performance with confidence.
The need
What you tell us
« I want reliable collection and dashboards that truly serve decision-making: less manual reporting, more decisions. »
- « I want to make my data more reliable »
- « I want performance dashboards »
- « I want to migrate to GA4 / server-side »
- « I want to automate my reporting »
Our response
- Collection plan and server-side architecture
- Dashboarding and KPI definition
- Automation and prediction
Method
Our method in 5 steps
Our stance
Continuous quality
Monitoring, alerting and collection governance detect anomalies before they influence your decisions.
- Monitoring
- Alerting
- Governance
Step 01 : Scoping
Identification of steering needs by team and definition of your strategic KPIs. Possibility to carry out a sanity check of the existing setup.
- Steering needs by team
- Definition and alignment of KPIs
- Mapping of sources
- Use case prioritization
Step 02 : Collection plan
Analysis of your events, properties and conventions, and scoping of governance & ownership rules.
- Events, properties and conventions
- Governance and ownership
- Shared data dictionary
- Built-in privacy trade-offs
Step 03 : Implementation
Deployment of the GTM and server-side tracking plan, rigorous QA and testing to ensure data collection reliability.
- GTM and server-side tracking
- QA and collection testing
- Deployment by environment
- Implementation documentation
Step 04 : Reporting
Creation of custom dashboards by audience and training your teams to get up to speed with the reports.
- Dashboards by audience
- Onboarding training
- Definitions and glossary included
- Established reading rituals
Step 05 : Activation
Setting up an anomaly alert system, automations and BigQuery exports of data flows to your analytics tools.
- Anomaly alerting
- Automations and BigQuery exports
- Quality monitoring
- Handover and autonomy
Conversion Intelligence
Our experts, backed by a fleet of AI agents
On this offering, our experts rely on Nadia, an agent from the Conversion Intelligence fleet: the agent prepares, the expert decides.
Agents on a daily basis
Describe the need, Claude calls the agent
A request in plain language or a "/" command: the right agent takes over, you keep the decision.
Architecture and fleet
A CRO architect manages a fleet of agents
The same CRO process, with and without agents: each agent takes over, the waiting disappears and the learning loop speeds up.
Deployment
Agents trained like experts, updated like products.
Each agent is a versioned plugin on GitHub. Three ways to make the most of it.
During a mission
During the engagement
Our consultants call on the agents at every stage of the CRO cycle. You receive the deliverables, without installing anything.
Via the Welyft platform
Remote, at Welyft
The fleet runs on our platform, connected to your tools with your consent. An expert validates every deliverable.
Internalized within your organization
Within your organization
We build your agents using our method, customize them, then a GitHub plugin marketplace delivers their updates.
Deliverables
What you get
Collection plan
Events, properties, governance.
Server-side architecture
Deployed and documented.
Monitoring dashboards
By audience: management, teams, operations.
Alerting & automations
Anomalies detected continuously.
Who is it for?
Who is this offer for?
Tools used
- GA4
- Piano
- Mixpanel
- Amplitude
- BigQuery
- Looker
- Company with time-consuming manual reporting
- Fragmented analytics stack, unshared KPIs
- Sponsor: Head of Data, CRO Manager, Digital Director
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To go further
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