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Datasets / Curated (shared with askfelix)

E-commerce funnel

Visitors to purchases by channel and device, with signup rates, trial conversion and order values.

120 rows11 columns Curated (shared with askfelix)

Worked examples

Each of these is a real run: the pipeline picked the columns, shaped the rows and chose the form. Open the trace to see what it decided and why.

The acquisition funnel, all channels

Each stage is a share of the one before it, so the drop from signup to trial dominates the drop the revenue team talks about.

Visitors to purchases01M2M3Mvisitorssignupstrials_startedpurchasesPeople
funnel chart of visitors signups trials and purchases — 4 rows charted from 120, drawn as a hbar
How it decided
Finding the data65 ms

E-commerce funnel: 120 rows, 11 columns. the four stage columns, summed across cohorts.

Shaping the data8 ms

120 rows in, 4 out across 2 columns. Each stage is a share of the one before it, so the drop from signup to trial dominates the drop the revenue team talks about.

Choosing the chart4 ms

hbar. Stages of one funnel only ever shrink; drawn as ranked bars in funnel order so the collapse from visitors to purchases is the whole shape.

Applying defaults1 ms

Palette, spacing, axis titles and legend placement applied. 0 issues found.

Schema

11 columns, typed as the pipeline sees them — which is how it knows what can go on a time axis and what can be summed.

Column TypeExample
cohort_monthtext2025-01
channeltextPaid Search
devicetextdesktop
visitorsnumber18500
signupsnumber1110
trials_startednumber510
purchasesnumber171
revenue_usdnumber13851
signup_rate_pctnumber6.0
trial_to_purchase_pctnumber33.53
avg_order_value_usdnumber81.0

First 8 rows

cohort_monthchanneldevicevisitorssignupstrials_startedpurchasesrevenue_usdsignup_rate_pcttrial_to_purchase_pctavg_order_value_usd
2025-01Paid Searchdesktop185001110510171138516.033.5381.0
2025-01Paid Searchmobile19400100846314197295.230.4569.0
2025-01Organic Searchdesktop212001399608193171776.631.7489.0
2025-01Organic Searchmobile221001281557160123205.828.7377.0
2025-01Emaildesktop239001720765229222137.229.9397.0
2025-01Emailmobile248001587706190161506.426.9185.0
2025-01Socialdesktop266002074798225236257.828.2105.0
2025-01Socialmobile275001925741186172987.025.193.0