58 of 21.217 listings match.
Time = 5y,
src = 10/10,
lang = all,
dict = D1,
terms = 8(ANY). last watermark · 2026-05-08
Demand index · last 4 wk vs window mean
3474%
above baseline
Reg. pressure (D5 mentions)
2
across all listings in window
Top mover · D1
Salesforce
∞ (z=99.0)
Recurring clusters
2
near-duplicate templates
01All 20 terms · Tools
11/20 have ≥1 citation · sparkline = trend · click row to filter · zero-count terms shown at bottom
02Term trend · top 5
anomalies marked · z > 2.5
sevdeskSalesforceBigQueryDATEVHubSpot
03Top movers · current half vs prev half
largest |Δ%| · z-score (Poisson)
| Term | Now | Prev | Δ % | z |
|---|---|---|---|---|
| Salesforce | 15 | 0 | ∞ | 99.0 |
| sevdesk | 39 | 0 | ∞ | 99.0 |
| DATEV | 2 | 0 | ∞ | 0.0 |
| Snowflake | 2 | 0 | ∞ | 0.0 |
| BigQuery | 4 | 0 | ∞ | 99.0 |
| HubSpot | 2 | 0 | ∞ | 0.0 |
| Lexoffice | 2 | 0 | ∞ | 0.0 |
| Tableau | 1 | 0 | ∞ | 0.0 |
| Looker | 1 | 0 | ∞ | 0.0 |
| Metabase | 1 | 0 | ∞ | 0.0 |
| Lexware | 1 | 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 |
|---|---|---|---|
| sevdesk | API | 14 | 1.39× |
| sevdesk | exportieren | 3 | 1.12× |
| DATEV | sevdesk | 2 | 1.49× |
| DATEV | exportieren | 2 | 14.50× |
| Salesforce | integrieren | 2 | 2.58× |
| BigQuery | Snowflake | 2 | 14.50× |
| HubSpot | Salesforce | 2 | 3.87× |
| Lexoffice | sevdesk | 2 | 1.49× |
| sevdesk | automate | 2 | 1.49× |
| Salesforce | reporten | 1 | 1.93× |
| Salesforce | automatisieren | 1 | 3.87× |
| Salesforce | REST | 1 | 3.87× |
| Salesforce | SOAP | 1 | 3.87× |
| automatisieren | integrieren | 1 | 19.33× |
| automatisieren | REST | 1 | 58.00× |
| automatisieren | SOAP | 1 | 58.00× |
| integrieren | REST | 1 | 19.33× |
| integrieren | SOAP | 1 | 19.33× |
| REST | SOAP | 1 | 58.00× |
| Snowflake | ETL | 1 | 29.00× |
05Recurring clusters · near-duplicate listings
indicates productizable workflows · click row for records