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 2026-10-29 14:08

Feature set v7 built 2026-10-29 17:16

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

What to do

From this build's numbers: 18 inputs now, 18 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 12 components to hold 90% of what your 18 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 18 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
    Standard18 of 18all equal
    Robust18 of 18fairly even
    Min-max7.8 of 18mostly device=mobile and landingPage=/ (40%)
    None3.2 of 18mostly minutes and tenure_days (65%)

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 18 inputs most tied up with others, grouped so related ones sit together. Red move together, blue move opposite.
actions[add_search]actions[add_recommended]rowstenure_daysminutespagesnewVisitorsource=Facebooksource=DirectlandingPage=/product/75-christmas-cake-boxedlandingPage=/product/474-port-and-prune-pudding-800g-log-in-clothlandingPage=/product/79-chocolate-fruit-cake-500g-boxedlandingPage=/landingPage=otheractions[sub_start]device=desktopdevice=mobiledevice=tablet
actions[add_search]-0.0-0.00.10.10.00.0-0.0-0.0-0.0-0.00.0-0.0-0.00.0-0.0
actions[add_recommended]-0.0-0.00.10.10.0-0.00.0-0.0-0.0-0.00.0-0.0-0.00.0-0.0
rows-0.0-0.00.10.1-0.3-0.10.00.10.0-0.0-0.10.1-0.00.1-0.0-0.0
tenure_days-0.0-0.00.10.1-0.2-0.1-0.00.10.0-0.0-0.10.1-0.00.0-0.00.0
minutes0.10.10.10.10.7-0.1-0.20.10.1-0.0-0.0-0.10.10.0-0.00.0-0.0
pages0.10.10.10.10.7-0.2-0.20.20.0-0.00.1-0.20.10.1-0.00.0-0.0
newVisitor0.00.0-0.3-0.2-0.1-0.20.4-0.20.00.00.00.0-0.10.0-0.00.0-0.0
source=Facebook0.0-0.0-0.1-0.1-0.2-0.20.40.00.00.00.2-0.20.0-0.10.10.0
source=Direct-0.00.00.0-0.00.10.2-0.2-0.0-0.0-0.0-0.20.2-0.00.1-0.0-0.0
landingPage=/product/75-christmas-cake-boxed-0.0-0.00.10.10.10.00.00.0-0.0-0.0-0.0-0.00.0
landingPage=/product/474-port-and-prune-pudding-800g-log-in-cloth-0.0-0.00.00.0-0.0-0.00.00.0-0.0-0.00.00.0-0.0
landingPage=/product/79-chocolate-fruit-cake-500g-boxed-0.0-0.0-0.0-0.0-0.00.10.00.0-0.0-0.0-0.0-0.00.0
landingPage=/0.00.0-0.1-0.1-0.1-0.20.00.2-0.20.0-0.0-0.00.0
landingPage=other-0.0-0.00.10.10.10.1-0.1-0.20.2-0.00.0-0.0-0.0
actions[sub_start]-0.0-0.00.00.10.00.0-0.0-0.0-0.0-0.00.0-0.0-0.0-0.00.1
device=desktop-0.0-0.00.10.0-0.0-0.0-0.0-0.10.1-0.00.0-0.0-0.00.0-0.0
device=mobile0.00.0-0.0-0.00.00.00.00.1-0.0-0.00.0-0.0-0.0-0.0-0.0
device=tablet-0.0-0.0-0.00.0-0.0-0.0-0.00.0-0.00.0-0.00.00.0-0.00.1

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

Each componentRunning total
0%25%50%75%100%PC1: 14.8% on its own, 14.8% in total1PC2: 10.6% on its own, 25.3% in total2PC3: 10.2% on its own, 35.6% in total3PC4: 8.9% on its own, 44.5% in total4PC5: 8.1% on its own, 52.5% in total5PC6: 6.4% on its own, 58.9% in total6PC7: 5.7% on its own, 64.6% in total7PC8: 5.6% on its own, 70.2% in total8PC9: 5.6% on its own, 75.8% in total9PC10: 5.5% on its own, 81.3% in total10PC11: 5.4% on its own, 86.7% in total11PC12: 5.1% on its own, 91.8% in total12PC13: 4.0% on its own, 95.8% in total13PC14: 1.8% on its own, 97.5% in total14PC15: 1.1% on its own, 98.6% in total15PC16: 0.8% on its own, 99.4% in total16PC17: 0.6% on its own, 100.0% in total17PC18: 0.0% on its own, 100.0% in total18First 1 components: 14.8%First 2 components: 25.3%First 3 components: 35.6%First 4 components: 44.5%First 5 components: 52.5%First 6 components: 58.9%First 7 components: 64.6%First 8 components: 70.2%First 9 components: 75.8%First 10 components: 81.3%First 11 components: 86.7%First 12 components: 91.8%First 13 components: 95.8%First 14 components: 97.5%First 15 components: 98.6%First 16 components: 99.4%First 17 components: 100.0%First 18 components: 100.0%Component

10 components explain 80% of the variation, 12 explain 90%; 13 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.
PC1PC2PC3PC4PC5PC6PC7PC8PC9PC10
actions[add_recommended]+0.04+0.06-0.01+0.10+0.18+0.01+0.04+0.17-0.77-0.07
landingPage=/product/474-port-and-prune-pudding-800g-log-in-cloth+0.02+0.03+0.03-0.27-0.07+0.12+0.32+0.75-0.07-0.26
device=desktop+0.09-0.42-0.12-0.01-0.01+0.70-0.07-0.04-0.04+0.10
landingPage=/product/79-chocolate-fruit-cake-500g-boxed+0.06+0.07-0.00-0.44+0.18-0.11-0.70-0.01-0.06+0.02
device=mobile-0.06+0.68+0.14+0.06-0.20-0.06+0.00-0.01+0.02+0.03
actions[sub_start]+0.02-0.03-0.00+0.05+0.21-0.13+0.19+0.34+0.31+0.66
landingPage=/-0.29-0.12+0.09+0.63-0.05+0.00-0.03-0.00+0.01+0.00
actions[add_search]+0.03+0.05+0.01+0.07+0.20+0.14-0.03+0.07+0.51-0.62
device=tablet-0.02-0.47-0.06-0.06+0.26-0.59+0.06+0.06+0.01-0.13
tenure_days+0.28-0.15+0.57-0.02-0.19-0.01-0.03+0.02+0.00+0.03
rows+0.31-0.15+0.56+0.00-0.19-0.01-0.04+0.00-0.00+0.02
landingPage=/product/75-christmas-cake-boxed+0.07-0.00+0.10-0.20+0.12-0.09+0.53-0.50-0.12-0.15
pages+0.34+0.17+0.06+0.14+0.52+0.11-0.03+0.03-0.00+0.01
minutes+0.30+0.16+0.08+0.21+0.49+0.11+0.05-0.04-0.00+0.05
source=Facebook-0.44+0.01+0.34-0.17+0.24+0.11+0.02-0.02+0.01+0.05
source=Direct+0.40+0.03-0.39+0.13-0.22-0.09+0.01+0.01-0.03-0.04
landingPage=other+0.25+0.06-0.15-0.32-0.09+0.05+0.22-0.15+0.16+0.19
newVisitor-0.31+0.06-0.02-0.23+0.16+0.22+0.15-0.09-0.04+0.09

Inputs

Tick "Leave out", then rebuild
InputFrom columnEncodingMeanStd devRangeZerosFilledMost correlated withOutcome linkLeave out
(activity) number · log0.7480.180.693 – 2.3 0.0%-0.26 newVisitor+0.14
left out(activity) number · log0.7480.180.693 – 2.3 0.0%
(activity) number · log0.1660.5520 – 3.04 89.7%-0.17 newVisitor+0.14
minutes number · log0.4241.190 – 6.5 83.4%+0.66 pages+0.28
pages number · log0.8640.3940.693 – 4.09 0.0%+0.66 minutes+0.35
source one-hot0.9580.20 – 1 4.2%+0.41 newVisitor-0.13
source one-hot0.02980.170 – 1 97.0%-0.23 newVisitor+0.16
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%+0.08 pages-0.00
landingPage one-hot0.01420.1190 – 1 98.6%+0.04 tenure_days+0.01
landingPage one-hot0.01110.1050 – 1 98.9%+0.08 rows+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-0.02
device one-hot0.1320.3380 – 1 86.8%+0.05 actions[sub_start]-0.01
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+0.02
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%
left outactions number · log0.006790.06830 – 0.693 99.0%
actions number · log0.002470.04130 – 0.693 99.6%+0.13 pages+0.07
left outactions number · log0.0006170.02070 – 0.693 99.9%
actions number · log0.0003090.01460 – 0.693 100.0%+0.13 pages+0.11
left outactions number · log0.0003090.01460 – 0.693 100.0%
actions number · log0.0003090.01460 – 0.693 100.0%+0.09 pages-0.00

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
v72026-10-29 17:16v3 End of each active day18offStandard
v62026-10-29 14:08v3 End of each active day18offStandard
v52026-10-29 14:01v2 End of each active day18offStandard
v42026-10-29 13:09v2 End of each active day21offStandard
v32026-10-29 12:50v1 End of each active day21offStandard
v22026-10-29 12:28v1 End of each active day49offStandard
v12026-10-29 12:19v1 End of each active day49offStandard