Capability Metrics only

Email Digests

Scheduled metric summaries in your inbox — for the people who should see the numbers but will never open a dashboard.

Daily, weekly or monthly, each digest reads your marts, computes the deltas and lands as a plain email. Numbers, not narratives.

Dashboards only work when someone opens them

The report is live, filtered, up to date — and unvisited. Most stakeholders will never make a dashboard part of their morning, and reporting that waits to be opened is reporting that gets skipped. The numbers have to travel to the reader.

How it works

A digest is a scheduled query with a comparison built in — and an email renderer that respects your readers' time.

Digest pipeline Illustration
  1. 01

    Configure

    Which metrics, which cadence — daily, weekly or monthly — and which recipients. Per digest, not per account.

  2. 02

    Query on schedule

    Your marts are read each morning, each Monday, each month-start — always the modeled tables, never raw exports.

  3. 03

    Compare

    Daily against the same weekday before; weekly against the previous ISO week; monthly against last month and the same month last year.

  4. 04

    Send

    A plain, fast-loading email: numbers, deltas and a link into the dashboard for anyone who wants to dig.

What lands in your inbox

The three cadences answer three different questions: what changed yesterday, how the week went, and where the month stands against last year.

Daily Example

From Insightlytics Digests

Subject Daily digest — Thu 16 Jul

Sessions 12,480 +4.2%
Conversions 316 +6.1%
Revenue €18,940 +3.4%

Top movers

Organic search · sessions +9.8%
Paid · conversions −12.4%
Weekly Example

From Insightlytics Digests

Subject Weekly digest — Week 29

Sessions 86,410 vs W-1 +3.1%
Conversions 2,204 vs W-1 +5.4%
Revenue €131,870 vs W-1 +2.8%

By channel

Channel Sessions Δ
Organic search 41,050 +4.6%
Paid 18,320 −2.2%
Direct 14,940 +1.9%
Monthly Example

From Insightlytics Digests

Subject Monthly digest — June 2026

Metric MoM YoY
Sessions +2.4% +18.6%
Conversions +3.9% +24.1%
Revenue −1.2% +21.3%

Twelve months

Representative example. Every digest carries metrics, period-over-period deltas and a link back to the dashboard — computed from your marts, never machine-written commentary.

What it does not do

  • No auto-generated commentary.

    No “AI insights” paragraph, no machine-written narrative in front of your stakeholders. A digest carries numbers, deltas and links — interpretation stays human.

  • It is not an alerting system.

    Digests arrive on schedule, whether the news is good or bad. For out-of-range values the moment they happen, that's Anomaly Detection.

  • It is not a marketing email tool.

    Recipients are your own team and stakeholders — no campaigns, no lists, nothing sent to your customers.

  • It does not replace the dashboard.

    Each digest links into one. The email is the summary; the drill-down lives where it belongs.

  • It does not need — or get — write access.

    Digest queries run read-only against marts in your own warehouse. The email carries the numbers out to readers; the data itself never leaves your project.

Digests read the same modeled tables as every other capability — one definition of every metric, everywhere it appears.

Marts

  • mart_sessions_daily sessions by channel and market
  • mart_conversion_funnel step-by-step conversion rates
  • mart_revenue_by_channel revenue and orders by channel

Sources

Representative selection — the final list depends on your stack. Source pages are linked above; detailed model pages are on the way.

Put the numbers where they'll actually be read.

Book an architecture review

Free discovery call · Leave with a cadence and recipient plan