219 of 11.001 listings match.
Time = 5y,
src = 14/14,
lang = all,
dict = D1,
terms = 5(ANY). last watermark · 2026-05-06
Demand index · last 4 wk vs window mean
5402%
above baseline
Reg. pressure (D5 mentions)
0
across all listings in window
Top mover · D1
SAP
∞ (z=99.0)
Recurring clusters
6
near-duplicate templates
01All 20 terms · Tools
12/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom
02Term trend · top 5
anomalies marked · z > 2.5
SAPDATEVHubSpotLexofficeExcel
03Top movers · current half vs prev half
largest |Δ%| · z-score (Poisson)
| Term | Now | Prev | Δ % | z |
|---|---|---|---|---|
| SAP | 126 | 0 | ∞ | 99.0 |
| DATEV | 66 | 0 | ∞ | 99.0 |
| sevdesk | 3 | 0 | ∞ | 0.0 |
| Postgres | 3 | 0 | ∞ | 0.0 |
| Excel | 4 | 0 | ∞ | 99.0 |
| MS Dynamics | 1 | 0 | ∞ | 0.0 |
| Confluence | 1 | 0 | ∞ | 0.0 |
| HubSpot | 16 | 0 | ∞ | 99.0 |
| Salesforce | 2 | 0 | ∞ | 0.0 |
| Lexoffice | 9 | 0 | ∞ | 99.0 |
| Lexware | 3 | 0 | ∞ | 0.0 |
| Talend | 2 | 0 | ∞ | 0.0 |
04Co-occurrence · top 20 pairs
Lift = P(A,B)/(P(A)·P(B)) · click to filter on both
| Term A | Term B | Count | Lift |
|---|---|---|---|
| DATEV | exportieren | 6 | 3.32× |
| SAP | API | 5 | 0.87× |
| SAP | integrieren | 3 | 0.65× |
| HubSpot | integrieren | 3 | 5.13× |
| DATEV | Buchhalter | 3 | 2.49× |
| HubSpot | pipeline | 3 | 13.69× |
| Lexoffice | API | 3 | 7.30× |
| DATEV | Postgres | 2 | 2.21× |
| Postgres | integrieren | 2 | 18.25× |
| DATEV | Pflege | 2 | 2.21× |
| SAP | analysieren | 2 | 1.74× |
| DATEV | Steuerfachangestellte | 2 | 3.32× |
| Buchhalter | Steuerfachangestellte | 2 | 54.75× |
| Excel | HubSpot | 2 | 6.84× |
| HubSpot | automate | 2 | 9.13× |
| automate | pipeline | 2 | 48.67× |
| HubSpot | Salesforce | 2 | 13.69× |
| Lexoffice | sevdesk | 2 | 16.22× |
| Lexoffice | Lexware | 2 | 16.22× |
| DATEV | sevdesk | 1 | 1.11× |
05Recurring clusters · near-duplicate listings
indicates productizable workflows · click row for records