Digital Education & Products

Find the offers that lead to more.

See which low-ticket offers create premium buyers, which channels bring students who stay, and what each launch really made.

Available

Which entry product creates the most premium buyers?

Connect first purchases to observed premium upgrades.

Decision supported: Evaluate offers beyond their first sale.

Example / not a product result

Illustrative data

Entry purchase → core-product purchase → linked refund; compare time to upgrade within a defined window.

Required source mapping (example): Stripe
Required capabilities: Customer journeys · Customer value · Data Trust
Data Trust limitations: Requires stable identities, product mappings and payment dates. Association is not causation.

Available

Which channel brings my most valuable customers?

Compare observed customer revenue by source, after refunds.

Decision supported: Investigate where acquisition investment may be justified.

Example / not a product result

Illustrative data

Compare source cohorts over the same observation period; leave unmatched customers unattributed.

Required source mapping (example): Stripe · Google Analytics · Google Ads
Required capabilities: Acquisition attribution · Customer value · Refund-aware financial reporting · Data Trust
Data Trust limitations: Example source mapping. Consent, missing touchpoints and identity errors limit attribution. Revenue is not profit; validate costs separately.

Available

Which customer groups spend more over time?

Compare observed customer revenue by first purchase or cohort.

Decision supported: Investigate valuable cohorts and offer sequences.

Example / not a product result

Illustrative data

Compare 90-day observed revenue for two acquisition cohorts rather than unequal lifetime totals.

Required source mapping (example): Stripe
Required capabilities: Customer journeys · Customer value · Refund-aware financial reporting · Data Trust
Data Trust limitations: Use equal observation windows. Missing history and identity errors understate value; future lifetime value is not guaranteed.

Available

How much revenue remains after refunds?

Separate gross revenue, linked refunds and defined net revenue.

Decision supported: Assess offers after refund losses.

Example / not a product result

Illustrative data

Illustrative: $24,000 gross − $1,800 assigned refunds = $22,200 defined net revenue, not profit.

Required source mapping (example): Stripe
Required capabilities: Revenue intelligence · Refund-aware financial reporting · Reconciliation · Data Trust
Data Trust limitations: Validate refund dates, tax, currency and order scope. Net revenue is not profit or payouts; costs are not assumed covered.

Available

How much of my attributed revenue is supported by available evidence?

Separate supported matches from unresolved revenue.

Decision supported: Investigate missing evidence before committing spend.

Example / not a product result

Illustrative data

Illustrative: 84 matched and 16 unmatched records out of 100; no claim that matched records prove channel causation.

Required source mapping (example): Stripe · Google Analytics
Required capabilities: Acquisition attribution · Reconciliation · Data Trust
Data Trust limitations: Matching is not causation. Missing evidence stays unknown; no invented confidence score.

Customer journey / Example 014

USD · Observed purchase records

Illustrative data

01Entry purchase+$97
02Program upgrade+$497
03Partial refund−$97

Cumulative net revenue

$497

Observed source: paid social. Not proof of causation.

Stop guessing.

See what every channel is really worth.