Crafte Sessions analysis 2026 09 29 2026 10 29

sessions_analysis-2026-09-29-2026-10-29.csv · 2,246 rows · 15 columns · definition v3 saved 29 Oct 2026 14:08

This feature set was built from column definition v1; the definition is now v3. Rebuild to pick up the changes.

Feature set v3 built 29 Oct 2026 12:50

Snapshots
2,246
End of each active day
Entities
2,014
2,246 rows used
Inputs used
21 of 49
after encoding
PCA
Off
14 components would explain 90%
Scaling
Standard

What to do

From this build's numbers: 21 inputs now, 21 if you take every suggestion. Buttons only tick boxes on the Inputs tab and options on Settings & rebuild; nothing changes until you rebuild.
  • Fine as is Leave PCA off

    It takes 14 components to hold 90% of what your 21 inputs say, so the inputs mostly carry different information. PCA would save little and the segments would be harder to explain.

  • Fine as is Scaling: keep Standard

    For segments every input should get an equal say. Standard gives all 21 inputs the same weight. Min-max would squash inputs with a long tail, so they'd barely count.

    Compare the scalings
    ScalingInputs with a real sayWho dominates
    Standard21 of 21all equal
    Robust20.8 of 21fairly even
    Min-max8.1 of 21mostly device=mobile and landingPage=/ (39%)
    None2.7 of 21mostly minutes and tenure_days (68%)

Correlated pairs are flagged from |r| ≥ 0.9, a common rule of thumb; nothing is removed automatically. The Correlations tab shows the pairs behind each suggestion.

Strongly correlated inputs

|r| ≥ 0.9
No pairs above the threshold.

How the inputs relate

The 20 inputs most tied up with others, grouped so related ones sit together. Red move together, blue move opposite.
Nothing to remove: no pair reaches 0.9. The strongest is minutes and pages (+0.70).
actions[add_checkout]actions[add_recommended]actions[co_cardpay]actions[add_search]rowstenure_daysminutespagesnewVisitorsource=Facebooksource=DirectlandingPage=/product/75-christmas-cake-boxedlandingPage=/product/79-chocolate-fruit-cake-500g-boxedlandingPage=/landingPage=otheractions[sub_start]actions[co_fail]device=desktopdevice=mobiledevice=tablet
actions[add_checkout]
actions[add_recommended]
actions[co_cardpay]
actions[add_search]
rows-0.0-0.00.1-0.0
tenure_days-0.0-0.00.1-0.0
minutes0.00.00.20.00.40.3
pages0.10.10.30.10.60.50.7
newVisitor0.00.00.00.0-0.3-0.2-0.2-0.3
source=Facebook0.0-0.00.00.0-0.1-0.1-0.2-0.20.4
source=Direct-0.00.0-0.0-0.00.0-0.00.10.1-0.2
landingPage=/product/75-christmas-cake-boxed-0.0-0.00.1-0.00.10.10.10.10.00.0-0.0
landingPage=/product/79-chocolate-fruit-cake-500g-boxed-0.0-0.00.0-0.0-0.0-0.0-0.00.10.00.0-0.0
landingPage=/0.00.0-0.10.0-0.1-0.1-0.1-0.20.00.2-0.2
landingPage=other-0.0-0.00.0-0.00.10.10.10.1-0.1-0.20.2
actions[sub_start]-0.0-0.00.00.10.00.0-0.0-0.0-0.00.0-0.0
actions[co_fail]-0.0-0.0-0.00.00.00.0-0.0-0.0-0.00.0-0.0
device=desktop-0.0-0.00.0-0.00.10.0-0.00.0-0.0-0.10.1-0.0-0.0-0.00.0-0.0-0.0
device=mobile0.00.0-0.00.0-0.0-0.00.10.00.00.1-0.0-0.0-0.0-0.0-0.0-0.0-0.0
device=tablet-0.0-0.0-0.0-0.0-0.00.0-0.1-0.0-0.00.0-0.00.00.00.0-0.00.10.1

Outlined cells are at or above the 0.9 threshold. Hatched cells are two values of the same column (only one can be 1, so they always pull apart) and are left out of the ranking. "+N identical" means other inputs match that one exactly and are folded into its row.

Variation explained

14 of 21 components are needed for 90%: the inputs carry mostly separate information, so PCA wouldn't shrink them much. Keep it off.
Each componentRunning total
0%25%50%75%100%PC1: 14.9% on its own, 14.9% in total1PC2: 9.7% on its own, 24.7% in totalPC3: 8.9% on its own, 33.6% in totalPC4: 7.7% on its own, 41.2% in totalPC5: 5.9% on its own, 47.2% in total5PC6: 5.6% on its own, 52.8% in totalPC7: 5.0% on its own, 57.8% in totalPC8: 4.8% on its own, 62.6% in totalPC9: 4.8% on its own, 67.4% in totalPC10: 4.8% on its own, 72.2% in total10PC11: 4.8% on its own, 77.0% in totalPC12: 4.7% on its own, 81.7% in totalPC13: 4.6% on its own, 86.2% in totalPC14: 3.8% on its own, 90.0% in totalPC15: 3.5% on its own, 93.5% in total15PC16: 3.3% on its own, 96.8% in totalPC17: 1.1% on its own, 97.9% in totalPC18: 0.9% on its own, 98.8% in totalPC19: 0.7% on its own, 99.5% in totalPC20: 0.5% on its own, 100.0% in total20PC21: 0.0% on its own, 100.0% in total90%14 for 90%First 1 components: 14.9%First 2 components: 24.7%First 3 components: 33.6%First 4 components: 41.2%First 5 components: 47.2%First 6 components: 52.8%First 7 components: 57.8%First 8 components: 62.6%First 9 components: 67.4%First 10 components: 72.2%First 11 components: 77.0%First 12 components: 81.7%First 13 components: 86.2%First 14 components: 90.0%First 15 components: 93.5%First 16 components: 96.8%First 17 components: 97.9%First 18 components: 98.8%First 19 components: 99.5%First 20 components: 100.0%First 21 components: 100.0%Component

12 components explain 80% of the variation, 14 explain 90%; 16 explain 95%. PCA is off: the segments use the inputs directly, and this chart is only for comparison. Fitted on 2,246 snapshots.

What PCA would combine

PCA is off, so none of this is used: it shows how inputs would group if you turned it on.
Component 1 is mostly pages (+0.47), rows (+0.43), tenure_days (+0.40). Component 2 is mostly source=Direct (+0.51), source=Facebook (-0.50).
PC1PC2PC3PC4PC5PC6PC7PC8PC9PC10
landingPage=/product/474-port-and-prune-pudding-800g-log-in-cloth+0.02+0.01-0.06-0.25-0.17-0.16-0.36-0.07+0.73-0.04
actions[add_recommended]+0.03-0.01-0.03+0.06+0.11+0.13+0.36-0.36+0.27-0.68
device=mobile-0.02-0.24-0.67+0.12-0.05+0.03-0.05+0.02-0.01+0.01
device=desktop+0.05+0.21+0.39-0.04-0.01-0.64+0.25-0.06-0.01-0.02
actions[add_checkout]+0.01-0.03-0.02+0.03+0.07+0.03+0.33-0.29+0.10+0.64
landingPage=/-0.20-0.22+0.20+0.60+0.09-0.03-0.01+0.04-0.01+0.00
actions[add_search]+0.04-0.06-0.02-0.04+0.59-0.14-0.12+0.34+0.17+0.04
device=tablet-0.02+0.10+0.49-0.12+0.07+0.57-0.17+0.03+0.02+0.00
actions[co_cardpay]+0.14-0.12-0.00-0.18+0.57-0.15-0.12+0.06-0.01-0.01
source=Direct+0.23+0.51-0.15+0.20+0.06+0.03-0.04+0.00+0.00-0.03
landingPage=/product/79-chocolate-fruit-cake-500g-boxed+0.04+0.03-0.08-0.44-0.08+0.20+0.51+0.47-0.05-0.05
source=Facebook-0.28-0.50+0.12-0.24-0.03-0.04+0.05-0.05-0.01+0.01
pages+0.47-0.18+0.01+0.02+0.14+0.05+0.15-0.03+0.05+0.00
landingPage=/product/75-christmas-cake-boxed+0.08-0.05+0.01-0.24+0.15+0.07-0.30-0.45-0.45-0.12
rows+0.43-0.27+0.14+0.02-0.27-0.06-0.08+0.06-0.01-0.00
tenure_days+0.40-0.28+0.14+0.00-0.29-0.06-0.10+0.05-0.00+0.00
minutes+0.38-0.15-0.04+0.09+0.20+0.08+0.14-0.10-0.02+0.01
actions[sub_start]+0.02-0.01+0.06+0.00+0.11+0.23+0.18-0.32+0.34+0.28
landingPage=other+0.16+0.27-0.15-0.28-0.07-0.07-0.11-0.20-0.12+0.15
newVisitor-0.26-0.15-0.01-0.26+0.07-0.15+0.07-0.21-0.04-0.03
actions[co_fail]-0.01+0.01+0.06-0.01+0.03+0.19-0.21+0.12+0.13+0.07

Inputs

Tick "Leave out", then rebuild
21 of 49 inputs are used.
InputFrom columnEncodingMeanStd devRangeZerosFilledMost correlated withOutcome linkLeave out
(activity) number · log0.7480.180.693 – 2.3 0.0%+0.60 pages+0.20
left out(activity) number · log0.7480.180.693 – 2.3 0.0%
(activity) number · log0.1660.5520 – 3.04 89.7%+0.52 pages+0.19
minutes number · log0.5261.370 – 7.42 81.1%+0.70 pages+0.44
pages number · log0.9390.4960.693 – 4.62 0.0%+0.70 minutes+0.62
source one-hot0.9580.20 – 1 4.2%+0.41 newVisitor-0.24
source one-hot0.02980.170 – 1 97.0%-0.23 newVisitor+0.23
left outsource one-hot0.008010.08920 – 1 99.2%
left outsource one-hot0.002230.04710 – 1 99.8%
left outsource one-hot0.000890.02980 – 1 99.9%
left outsource one-hot0.0004450.02110 – 1 100.0%
left outsource one-hot0.0004450.02110 – 1 100.0%
landingPage one-hot0.8250.380 – 1 17.5%-0.22 source=Direct-0.12
landingPage one-hot0.03920.1940 – 1 96.1%+0.06 pages-0.03
landingPage one-hot0.01420.1190 – 1 98.6%-0.04 minutes-0.02
landingPage one-hot0.01110.1050 – 1 98.9%+0.12 actions[co_cardpay]+0.07
left outlandingPage one-hot0.00980.09850 – 1 99.0%
left outlandingPage one-hot0.00890.09390 – 1 99.1%
left outlandingPage one-hot0.006230.07870 – 1 99.4%
left outlandingPage one-hot0.005340.07290 – 1 99.5%
left outlandingPage one-hot0.00490.06980 – 1 99.5%
left outlandingPage one-hot0.004450.06660 – 1 99.6%
left outlandingPage one-hot0.004010.06320 – 1 99.6%
left outlandingPage one-hot0.004010.06320 – 1 99.6%
left outlandingPage one-hot0.003560.05960 – 1 99.6%
left outlandingPage one-hot0.003120.05570 – 1 99.7%
left outlandingPage one-hot0.003120.05570 – 1 99.7%
landingPage one-hot (other)0.05250.2230 – 1 94.7%-0.21 source=Facebook+0.05
device one-hot0.750.4330 – 1 25.0%+0.06 source=Facebook+0.05
device one-hot0.1320.3380 – 1 86.8%+0.05 actions[co_fail]-0.04
device one-hot0.1180.3230 – 1 88.2%-0.11 source=Facebook+0.03
newVisitor number0.9930.08410 – 1 0.7%+0.41 source=Facebook-0.14
left outactions number · log0.0520.1880 – 1.39 92.7%
left outactions number · log0.02670.1340 – 1.1 96.2%
left outactions number · log0.02580.1320 – 1.1 96.3%
left outactions number · log0.02490.130 – 1.1 96.4%
left outactions number · log0.02490.130 – 1.1 96.4%
left outactions number · log0.02280.1260 – 1.1 96.8%
left outactions number · log0.01870.1130 – 1.1 97.3%
left outactions number · log0.01360.09610 – 0.693 98.0%
left outactions number · log0.01360.09610 – 0.693 98.0%
left outactions number · log0.01160.090 – 1.1 98.4%
left outactions number · log0.007720.07270 – 0.693 98.9%
actions number · log0.006790.06830 – 0.693 99.0%+0.26 pages+0.54
actions number · log0.002470.04130 – 0.693 99.6%+0.10 pages+0.19
actions number · log0.0006170.02070 – 0.693 99.9%+0.06 pages+0.09
actions number · log0.0003090.01460 – 0.693 100.0%+0.10 pages+0.11
actions number · log0.0003090.01460 – 0.693 100.0%+0.05 device=tablet+0.07
actions number · log0.0003090.01460 – 0.693 100.0%+0.07 pages+0.07

Settings

Built from column definition v3
Snapshot timing

When to take a picture of each entity. Each snapshot only uses rows up to that moment.

Taken at the start or the end?

For sessions or days. Predicting ahead needs the start: then a session can't give away its own outcome.

Known at the start: source, landingPage, device. Change this per column on the Columns tab.

Activity features

Worked out from the ID, time and session columns. Added to the columns you chose.

Scaling and correlation
Principal components (PCA)

Replaces the inputs with fewer combined ones. The chart below always shows what it would keep.

Feature set versions

VersionBuiltDefinitionSnapshotsInputsPCAScaling
v830 Oct 2026 12:27v3 End of each active day18offStandard
v729 Oct 2026 17:16v3 End of each active day18offStandard
v629 Oct 2026 14:08v3 End of each active day18offStandard
v529 Oct 2026 14:01v2 End of each active day18offStandard
v429 Oct 2026 13:09v2 End of each active day21offStandard
v329 Oct 2026 12:50v1 End of each active day21offStandard
v229 Oct 2026 12:28v1 End of each active day49offStandard
v129 Oct 2026 12:19v1 End of each active day49offStandard