Apptimize
The recorded URL now redirects offsite — often an acquisition, rebrand, or wind-down; the destination is recorded in the telemetry below. Pulse has been flat over the last 30 days.
HTTP liveness
realSignal telemetry
4 families · 2 observed · observed onlyairship.comedge
direct originserver
nginxTranco rank
#10,938
Analyst read
generated from the observed metrics above · no external narrativeApptimize's listed URL redirected off its original domain (to https://www.airship.com/?utm_source=apptimize) when we last probed it on Aug 27, 2026 — we mark it redirected, not dead. Its Pulse Index is 25.3 of 100, built from 2 of 4 observed signal families. Observed footprint: 12 functional tags. It sits on the competitive-alternatives graph with 2 linked rivals, so the comparable set below leans on curated edges.
Comparable set
curated alternatives → functional tag-similarity| Company | Basis | Overlap | Pulse | 30d Δ | Status |
|---|---|---|---|---|---|
| Optimizelymarketing | curated | — | 40.0 | 0.0 | ● live |
| Store Mavenanalytics | tag-overlap | 83% | 11.0 | 0.0 | — unverified |
| Apptentivemarketing | tag-overlap | 79% | 17.6 | 0.0 | — unverified |
| Faqbot In-Appai-tools | tag-overlap | 69% | 40.0 | 0.0 | ● live |
| Clefsecurity | tag-overlap | 69% | 18.6 | 0.0 | → redirected |
| Microsoft Flow Official Appdev-tools | similar | 69% | 40.0 | 0.0 | — unverified |
| Inline Manualproductivity | tag-overlap | 69% | 48.4 | 0.0 | ● live |
| GPT Analyticsanalytics | tag-overlap | 67% | 8.0 | 0.0 | — unverified |
Confidence reflects source and category coherence: curated = an editorially linked alternative; similar = strong functional tag-overlap in the same category; tag-overlap = shared tags only and may be noisy. Overlap is the shared functional-tag ratio (Jaccard) for tag-matched rows. Pulse is the observed-activity index real and 30d Δ its signed month change; a dash means insufficient observed history, never zero.
Structure
observed attributesFunding & team
not in sourceNo disclosed funding in our sources. Funding data covers only ~1% of the corpus (462 rounds across 79K products), so absence here is unknown, not zero— we don't estimate a number we can't source.