Anthony Baptiste is an Analytics Consultant and BI Developer who helps Chicago, Northern Illinois, and remote teams turn messy business, customer, experimentation, and operations data into trusted dashboards, KPI reporting, digital analytics readouts, and applied AI workflow systems.
I help ecommerce, operations, growth, and research teams replace scattered spreadsheets, unclear KPIs, manual reports, disconnected Adobe Analytics or Customer Journey Analytics views, and under-explained experiments with practical systems people can actually use. My current digital experimentation work at Ulta Beauty strengthens how I approach Adobe Target, AB Tasty, A/B testing, personalization measurement, KPI impact, and executive-ready recommendations.
You have useful data, but your current reporting process is too manual, too scattered, or too hard to explain. You need someone who can work between business questions, customer behavior, experimentation, and technical implementation.
Your team runs important decisions through spreadsheets or exports.
Dashboards exist, but people argue over which numbers are right.
Digital campaigns, funnels, personalization programs, or A/B tests need clearer measurement and next steps.
Leadership needs clearer visibility into operations, programs, or customers.
You want to test an AI-assisted reporting or research workflow without overbuilding.
Fit Check
How I keep projects focused
I am most useful for focused analytics builds and early systems. The best projects have a clear business owner, a real decision to support, and enough access to understand the data.
No clear decision-maker or stakeholder for the reporting.
No willingness to define metrics or change the current workflow.
Pure software engineering work with no analytics, experimentation, or decision layer.
Projects that need a large agency team from day one.
Offers
Packaged ways to work together
Each offer is designed to create a visible business asset quickly: a better reporting process, a usable dashboard, a trustworthy experiment readout, or an AI workflow your team can test in real work.
1-2 weeks
Analytics Clarity Audit
A focused review of your current reporting, data sources, dashboards, KPI definitions, and manual workflows.
Stakeholder discovery call
Dashboard, spreadsheet, Adobe Analytics, or CJA review
Metric trust and data gap assessment
Prioritized improvement roadmap
Starting at $750
Flagship build • 2-5 weeks
Dashboard & Reporting Sprint
A practical build for teams that need a dashboard, reporting pack, or recurring KPI system connected to a real operational question.
Data cleaning and reporting model
Tableau, Power BI, Excel, SQL, Looker Studio, Adobe Analytics, or CJA output
KPI definitions and usage notes
Executive summary and handoff session
$3,500-$10,000 typical range
1-3 weeks
Digital Analytics & Experimentation Sprint
A growth-focused analysis for teams that need cleaner measurement around funnels, customer behavior, campaigns, Adobe Target tests, A/B tests, or personalization ideas.
Adobe Target, AB Tasty, traffic split, and data quality review
Conversion, segment, journey, audience, and KPI impact analysis
Post-test readout with risks, implications, and next steps
Measurement plan or learning repository template
$1,500-$6,000 typical range
Scoped workflow
Applied AI Workflow Sprint
A practical AI workflow for teams using Claude, Custom GPTs, MCP-connected tools, n8n automation, AI-assisted research, summarization, reporting, interview simulation, or decision support.
Agentic workflow and prompt design
Claude, Custom GPT, MCP, n8n, or Streamlit workflow
Evaluation notes and responsible-use guardrails
Recommendation on rollout, ownership, and next use cases
Scoped during discovery
Recurring support
Monthly Reporting Support
Ongoing support for teams that already have a dashboard, reporting pack, or experiment readout and need it kept useful after launch.
Recurring dashboard updates and QA checks
KPI monitoring and monthly insight memos
Office hours for stakeholder questions
Small reporting fixes before they become big cleanups
Scoped for active clients
Free Checklist
KPI / Dashboard Readiness Checklist
Use this one-page checklist before you approve a dashboard, hand off reporting, or ask a team to make decisions from a metric. It covers the data, stakeholder, KPI, QA, and handoff questions that keep analytics work useful.
Client Value
The problems I am best at solving
Messy data into trusted reporting
Turn CSVs, spreadsheets, CRM exports, or database tables into clean reporting views and practical business definitions.
Operations visibility
Build views for supply chain, delivery, demand, program engagement, customer activity, or team performance.
Growth experiments into decisions
Validate Adobe Target, AB Tasty, A/B and multivariate tests, diagnose funnel movement, quantify KPI impact, and turn customer behavior signals into clear recommendations.
Personalization measurement
Use experimentation discipline from web and app programs, Adobe Target, Adobe Analytics, and Customer Journey Analytics to define success metrics, check audience logic, and explain what a test should change next.
AI where it has a job
Use Claude, Custom GPTs, MCP-style tool connections, n8n, and AI automation for summarization, workflow support, research simulation, or reporting assistance only when it improves the decision process.
Tooling Context
Platforms and workflows I can speak to
I stay close to the tools teams actually use, so the work can connect strategy, measurement, reporting, and automation instead of stopping at a static dashboard.
Small enough to move fast, structured enough to be useful.
The goal is not to impress people with tooling. The goal is to make one important decision process clearer, faster, and easier to repeat.
Every project starts by defining the business question, available data, success criteria, and stakeholder audience. For growth work, that includes the hypothesis, KPI hierarchy, traffic or audience logic, test design, and what action the result should inform. From there I build the simplest useful version, review it with you, refine it, and hand it off with documentation.
Working Together Again
Already have a dashboard or analysis from me?
Teams usually get the most value by turning the first deliverable into a repeatable operating rhythm: a monthly KPI review, experiment learning log, refreshed dashboard, better segmentation, or the next decision-specific report.
Short answers that explain what I do, who I help, and when a project is a good fit.
What does Anthony Baptiste help consulting clients with?
I help teams clean up messy reporting, define KPIs, build dashboards, analyze digital behavior with Adobe Analytics or Customer Journey Analytics, validate Adobe Target, AB Tasty, A/B and multivariate tests, automate analytics workflows, and launch agentic AI tools for reporting, research, and decision support.
Who is a good fit for my analytics consulting?
Good-fit clients include startups, ecommerce teams, small businesses, nonprofits, university research teams, operations-heavy teams, and organizations using spreadsheets, Salesforce, web analytics exports, Tableau, Power BI, Excel, SQL, or manual reporting workflows.
What analytics consulting services are available?
Services include Analytics Clarity Audits, Dashboard and Reporting Sprints, Digital Analytics and Experimentation Sprints, Applied AI Workflow Sprints, and optional monthly reporting support.
What tools do I work with?
I work across Tableau, Power BI, Excel, SQL, Python, Pandas, dbt, PostgreSQL, Salesforce reporting, Adobe Analytics, Adobe Customer Journey Analytics, customer journey analytics, Adobe Target, AB Tasty, Claude, Custom GPT workflows, MCP-style tool connections, n8n, Streamlit, and practical AI-assisted reporting systems.
Last updated July 6, 2026.
Start
Tell me what your team is trying to see more clearly.
Good first message: what kind of organization you are, what data you have, what reporting or testing is painful right now, and what decision you want to improve.