Lucerna means "the guiding light": a measurement layer built to show which signals are real, which budgets deserve more, and which stories your data can actually defend.
Public tier access begins with Core in Q3 2026.
Lucerna™ unifies your marketing data and ties it to outcomes you can defend. As the guiding light for growth decisions, it combines attribution with incrementality testing and modeling so you can fund what actually drives revenue, then repeat what works.
Understand the journey. See which channels and touchpoints drive real conversions.
Prove what caused lift. Geo experiments and holdouts that separate signal from noise.
Plan the next dollar with privacy resilience. Forecast marginal returns at a channel level.
Cut waste by identifying non-incremental spend.
Reallocate budget based on marginal returns.
Increase learning velocity with a test-and-scale loop.
Align stakeholders with one source of truth.
Fragmented dashboards, conflicting metrics, no confidence in what's working.
One dashboard + one weekly memo + one reallocation plan.
Compare models and see which channels contribute to conversions across the full funnel.
Visualize the customer journey from first touch to purchase with time-to-convert analysis.
Cluster creative by hooks, angles, and formats to understand what resonates and why.
Geo and cell split tests with holdouts that prove true lift, not claimed conversions.
Continuous measurement that catches performance shifts before they become problems.
Model budget shifts before you make them. See projected returns by channel and spend level.
Marginal ROI curves that show exactly where your next dollar should go.
Automated insight summaries and reallocation recommendations delivered to your inbox.
Incrementality answers the only question that matters: "Did this spend create new revenue, or just claim it?" Lucerna™ designs and reads geo/cell split tests and holdouts, then turns the results into a simple budget decision.
MMM helps you forecast marginal returns at a channel level, even in privacy-restricted environments. Use it for quarterly planning, media mix shifts, and executive-level clarity.
Lucerna™ supports multiple attribution views so teams can compare narratives and align on a working model. The goal isn't a perfect model. It's faster, better decisions.
We use AI to shorten the loop between idea, test, and insight. Lucerna™ surfaces patterns, flags anomalies, and helps generate the next round of experiments.
Group creatives by hooks and angles to see what messaging resonates across audiences.
Get testing ideas based on performance patterns, seasonal trends, and competitor signals.
Get alerted when metrics break pattern, before small issues become big problems.
Summarized performance highlights and recommended next actions, delivered automatically.
Connect your store, ads, and analytics. Keep your tools. Own your data.
Warehouse-first compatible (BigQuery / Snowflake) for advanced teams.
Read-only access where possible
Data portability (exportable)
Consent-aware tracking guidance
Role-based access
"We build dashboards for decisions, not surveillance."
Data sources + taxonomy. We plug into your existing stack and map every signal.
Tracking integrity and baseline. We audit your data before trusting any of it.
Attribution + incrementality plan. Experiments designed, tests running, lift measured.
Weekly memo + budget reallocation cadence. Signal becomes action becomes growth.
Deliverables: Dashboard + Memo + 90-day testing roadmap
Lucerna™ v1 is currently in private alpha with internal access only. Public availability will roll out by tier as the product matures.
The roadmap keeps the promise simple: start with a clean guiding light across your channels, graduate to modeled incrementality signals, then prove causality with experiment-calibrated planning.
One dashboard. Every channel. No more tab switching.
Available Q3 2026
Private alpha v1: internal access only
Public access target: Q3 2026.
Built as the first public guiding-light layer for unified channel visibility.
Modeled incrementality signals. No experiments required.
Available Q1 2027
Private alpha v1: internal access only
Public access target: Q1 2027.
Designed to add modeled iROAS estimates and budget simulation after Core has enough signal.
Experimental proof. Every budget decision backed by causal data.
Available Q3 2027
Private alpha v1: internal access only
Public access target: Q3 2027.
Lucerna™ is being refined inside Refractive's operating system before public release.
The alpha focuses on signal quality, measurement workflows, and decision-ready reporting before external tier access opens in 2026 and 2027.
| Feature | Core Q3 2026 | Lumen Q1 2027 | Pro Q3 2027 |
|---|---|---|---|
| Data & Connections | |||
| Shopify real-time sync | ✓ | ✓ | ✓ |
| Meta / Google / TikTok ingestion | ✓ | ✓ | ✓ |
| UTM tracking layer | ✓ | ✓ | ✓ |
| 13-month historical data window | ✓ | ✓ | ✓ |
| Geographic order tagging | ✓ | ✓ | ✓ |
| Dashboard & Reporting | |||
| Blended MER dashboard | ✓ | ✓ | ✓ |
| Channel-level spend vs. revenue trending | ✓ | ✓ | ✓ |
| New vs. returning customer split | ✓ | ✓ | ✓ |
| Spend / revenue / ROAS alerts | ✓ | ✓ | ✓ |
| Weekly performance memo | ✓ | ✓ | ✓ |
| Executive summary view | — | ✓ | ✓ |
| Shareable client report snapshots | — | ✓ | ✓ |
| White-label reporting | — | — | ✓ |
| Attribution | |||
| First / last / linear click attribution | ✓ | ✓ | ✓ |
| Platform vs. Lucerna™ ROAS comparison | ✓ | ✓ | ✓ |
| Data-driven MTA model (Shopify-calibrated) | — | ✓ | ✓ |
| View-through vs. click-through weighting | — | ✓ | ✓ |
| Halo effect / cross-channel influence | — | ✓ | ✓ |
| Incrementality | |||
| Passive iROAS estimates (modeled) | — | ✓ | ✓ |
| Natural experiment detection | — | ✓ | ✓ |
| Confidence bands per channel estimate | — | ✓ | ✓ |
| "Test recommended" channel flags | — | ✓ | ✓ |
| Geo-pair recommendation engine | — | — | ✓ |
| Power analysis calculator | — | — | ✓ |
| 2-cell and 3-cell test design | — | — | ✓ |
| Meta geo-exclusion API automation | — | — | ✓ |
| Google geo-exclusion API automation | — | — | ✓ |
| Manual DMA setup guides (TikTok, YouTube) | — | — | ✓ |
| Live test monitoring dashboard | — | — | ✓ |
| Post-test iROAS + incrementality factor | — | — | ✓ |
| Calibration feedback loop | — | — | ✓ |
| Budget Intelligence | |||
| Diminishing returns curves | — | ✓ | ✓ |
| Budget scenario simulator | — | ✓ | ✓ |
| Marginal ROAS by channel | — | ✓ | ✓ |
| iMMM scenario planning (experiment-calibrated) | — | — | ✓ |
| Forward-looking budget allocation by marginal ROI | — | — | ✓ |
| Creative Intelligence | |||
| Hook rate / hold rate / thumbstop rate | — | — | ✓ |
| Creative fatigue detection | — | — | ✓ |
| Spend-weighted creative iCPA | — | — | ✓ |
| AI creative tagging (no manual labeling) | — | — | ✓ |
| Creative-to-test correlation | — | — | ✓ |
| Support | |||
| Standard support | ✓ | ✓ | ✓ |
| Priority support | — | — | ✓ |
| Dedicated Slack channel | — | — | ✓ |
Lucerna™ v1 is currently private alpha with internal access only. Selected partner workflows may inform the roadmap, but the standalone tiers are not publicly available yet.
Not yet. Lucerna™ is in private alpha v1 with internal access only. Core is planned for Q3 2026, Lumen for Q1 2027, and Pro for Q3 2027.
We design geo or cell-based split tests where one group sees your ads and another doesn't. By comparing the conversion rates between groups, we measure true incremental lift, not just what the ad platform claims credit for.
Attribution tracks individual user journeys. MMM looks at aggregate channel-level performance using statistical modeling. It's especially useful in privacy-restricted environments and for budget planning, since it doesn't depend on cookies or pixels.
Read-only access to your ad platforms, analytics, and Shopify store. We request the minimum permissions needed and never make changes to your live accounts without explicit approval.
Yes. All data is yours. Dashboards, reports, and raw exports are fully portable. If you ever leave, you take everything with you. No lock-in, no data hostage situations.
During private alpha, signal timelines depend on internal data readiness and the measurement workflow being tested. Public onboarding expectations will be published as each tier approaches release.
Absolutely. Lucerna™ is additive, not a replacement. It plugs into your existing stack (Shopify, GA4, Meta, Google, Klaviyo, etc.) and provides a unified layer on top. Keep your tools. Own your data. We make it talk.
Triple Whale is attribution. Lucerna™ measures whether your attribution is true. We layer modeled incrementality estimates and geo-holdout experiments on top of attribution data so you know which numbers to trust — and which to question.
No. Lucerna™ is being designed to translate complex measurement into decision-ready guidance. The goal is to make attribution, modeling, and experiment planning usable without a dedicated data science team.
Public setup timelines will be released with each tier. Current private-alpha access is internal only while the product, data flows, and reporting cadence are validated.
The roadmap is designed to progress from Core to Lumen to Pro as the measurement layer matures. Upgrade paths will be defined before Core becomes publicly available in Q3 2026.
There is no public subscription to cancel while Lucerna™ is in private alpha. Data portability remains a product principle for the public tiers.
Lucerna™ is the guiding light we are building for teams that need to know what's real before they reallocate the next dollar.