A6 · Evidence case · vendor-reported (Bombora/BuiltWith integration partner case)

Technographic change monitoring: agent detects when target accounts add or remove competing technologies from their stack; triggers ICP-fit scoring update and SDR alert

Competitive displacement win rate +27% vs cold outbound to same accounts; pipeline from displacement motions = 18% of total new ARR — Technographic signals are higher-confidence than keyword-based intent — they reflect actual buying behavior (a vendor was removed) not research behavior.
directional evidence vendor-reported Last updated 2026-06-18

Source trust note: Magnitude may be overstated. Vendor-reported results are subject to selection bias and survivorship bias — take direction, not magnitude.

What was built

Technographic change monitoring: agent detects when target accounts add or remove competing technologies from their stack; triggers ICP-fit scoring update and SDR alert

Company type: Enterprise SaaS (data integration)

Tier map

Tier 2 strategy: competitive displacement signal processing

Human-in-the-loop design

Human defines trigger rules and competitive products quarterly; agent monitors and alerts autonomously

Results

Competitive displacement win rate +27% vs cold outbound to same accounts; pipeline from displacement motions = 18% of total new ARR

Quality caveat: these results are vendor-reported — treat as directional signal, not precise benchmark.

Source trust

vendor-reported vendor-reported (Bombora/BuiltWith integration partner case)

This case is rated vendor-reported. The vendor has a direct commercial interest in presenting favorable results. Use these cases to understand direction (what kinds of improvements are possible) not magnitude (exact percentages).

Take direction, not magnitude. Vendor-reported results are systematically higher than independently measured equivalents due to selection bias, survivorship bias, and favorable framing.

Failure mode observed

Technographic data lag of 30-60 days meant many 'change' signals were already stale by the time SDRs acted

Transferable lesson

Key lesson: Technographic signals are higher-confidence than keyword-based intent — they reflect actual buying behavior (a vendor was removed) not research behavior.

How to cite

@misc{shalvi_gtm_evidence_technographic_stack_intent_targeting_2026,
  author    = {Singh, Shalvi},
  title     = {Technographic change monitoring: agent detects when target accounts add or remov — Agentic GTM Evidence Case},
  year      = {2026},
  note      = {Source trust: vendor-reported (Bombora/BuiltWith integration partner case). Methodology: directional.},
  url       = {https://shalvisingh.com/gtm/evidence/technographic-stack-intent-targeting}
}

Singh, S. (2026). *Technographic change monitoring: agent detects when target accounts add or remov — Agentic GTM Evidence Case*. GTM World Model. Retrieved from https://shalvisingh.com/gtm/evidence/technographic-stack-intent-targeting