Live series · April–May 2026 · Free to attend

Monetizing Analytics. From strategy to shipped revenue.

Three webinars. Three perspectives. One mission: help data-centric companies stop giving analytics away for free — and build a revenue line from what they already have.

3
Live webinars
6
Industry experts
Apr-May
2026
Free
No cost
The series

One story. Three seats at the table.

Each session tackles analytics monetization from a different angle — because CEOs, product leaders and revenue teams all need a different version of the same story before they act on it.

1

Understand why monetization fails

Governance, trust and the boardroom decisions that kill analytics revenue before it starts.

2

Learn how to package and enable it

The product and technical decisions that turn a feature into something customers pay for.

3

Master how to sell and grow it

Pricing models, value messaging and the adoption playbook that makes monetized analytics stick.

Core promise
"Monetization in analytics: from strategy to shipped revenue features."
Luzmo
×
Datalook

Luzmo handles the embedded analytics front-end — the experience customers pay for. Datalook handles data infrastructure and governance. Together: a complete picture from raw data to revenue.

Three sessions

The webinar series

Session 01C-Level
Thursday, 30 April 2026
16:00–17:00 CET
CEO · Founder · GM
Primary audience
C-level leadership at data-centric SaaS and B2B companies
Session 1 — C-level

Milk the data cow. Squeeze new revenue from the analytics you already have.

You've spent years building analytics. Your customers use them every day. And you're giving them away. Two CEOs go live to explain why that's a choice — and how to make a different one.

What we'll cover
The biggest mistake leaders make when they hear "data monetization"
Why trust and governance fail before the tech does
How to find 2–3 paid offers in your existing product
Who should own monetization internally
Why giving analytics away is a competitive liability
The partner + vendor split that makes it work
After the session
Book a free Monetization Opportunity Review — 30 min to map your data and find your first paid offer.
Register free →
Session 02Product & Data
Thursday, 7 May 2026
16:00–17:00 CET
CPO · Head of Product · CDO
Primary audience
Product and Data leaders who own the roadmap and data platform
Session 2 — Product & Data

Behind the scenes: what it really takes to ship monetized analytics.

Everyone wants to ship a paid analytics tier. Almost nobody talks about what that actually involves. A CEO and a VP Product go behind the curtain — packaging, entitlements, SLAs and the decisions that make or break the build.

What we'll cover
The Kitchen Sink trap and how to avoid it
What B2B customers actually want (it's not more data)
How to design tiers that make sense to buyers and sales
Entitlements, SLAs, billing — what the roadmap really costs
Live objection handling: engineering + security
Tech-stack agnostic patterns that actually work
After the session
Book a Monetization Opportunity Review — bring your architecture, we'll find the lowest-friction path.
Register free →
Session 03GTM & Revenue
Wednesday, 13 May 2026
16:00–17:00 CET
VP Sales · VP CS · RevOps
Primary audience
Sales, CS and Revenue leaders who must sell and grow the monetized offer
Session 3 — GTM & Revenue

Show me the money: building the business case for monetized analytics.

The analytics are built. The tiers are designed. Now someone has to sell it. Two revenue leaders go live on pricing, value messaging and the adoption playbook that stops every deal becoming a discount fight.

What we'll cover
What to pitch instead of "dashboards" — and why it closes faster
Turning pricing conversations into roadmap conversations
Add-on, tiered, usage-based, partner-facing — real SaaS examples
How to estimate revenue uplift and retention impact
Infra, license, support costs — rules of thumb
Aligning product, sales and CS before you go to market
After the session
Book a Personal Monetization Blueprint — leave with a draft P&L and package concept.
Register free →
The partnership

Two companies. One complete story.

Luzmo is the fastest way to embed analytics in your product. Start with low-code, customize with code, and control every pixel — so your users get analytics that feel native, not bolted on.

Luzmo turns data into productized, customer-facing analytics experiences. The platform your product team ships. The feature your customers actually pay for.

Embedded analytics, natively

Ship interactive dashboards inside your SaaS product in days, not months — no separate BI tool.

Full design control

Customize every pixel to match your brand. Users never feel like they've left your product.

AI-powered insights

Luzmo IQ lets users ask questions in natural language and get instant visual answers.

Learn more about Luzmo →

Datalook builds the commercial operating layer for data-centric companies — the infrastructure that makes selling analytics possible without rebuilding your stack or scrambling your data team.

Where Luzmo powers the front-end experience, Datalook handles everything underneath: data governance, trust and the architecture that makes your analytics defensible to a paying customer.

Data governance & trust

The foundation that makes selling analytics defensible — access rights, data quality, accountability.

Commercial data infrastructure

The plumbing layer between your raw data and the monetized experience your customers pay for.

Implementation patterns

Proven architecture guidance for going from data chaos to a packaged, revenue-ready analytics offer.

Learn more about Datalook →
Why attend

Three reasons to show up

The full stack, in one room

Luzmo and Datalook cover both ends — data infrastructure to productized analytics. One coherent story from raw data to revenue.

A playbook you can use

Walk away with a concrete path to launch paid analytics add-ons, improve retention, and unlock upsell from what you already have today.

Real answers, not theory

Direct, experience-backed answers from people who've shipped monetized analytics at scale — and watched it fail at scale.

Free registration

Save your seat for the full series

Register once. Access all three sessions, recordings, eBooks and follow-up materials delivered within 24 hours of each session.

1
Milk the data cow
Thu 30 Apr · 16:00 CET · C-level
2
Behind the scenes
Thu 7 May · 16:00 CET · Product & Data
3
Show me the money
Wed 13 May · 16:00 CET · GTM & Revenue

Register for free

30 seconds. Calendar invites for all three sessions included.

One confirmation + calendar invites for all three sessions.

Stop giving analytics away.

Three hours. Three sessions. A clear path to your first paid analytics offer.