Spot Tech Stack Changes Agent — Lantern

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Spot Tech Stack Changes

Know when a competitor gets removed from a prospect's stack — and be first to fill the gap.

80% of B2B buyers evaluate new vendors within 60 days of removing a competing product.

THE brıef

Monitor every account in your addressable market for technology changes: new tools added, old ones removed, contracts up for renewal. When a prospect drops a competitor or adopts a complementary platform that signals intent, the agent surfaces the account, identifies the relevant contacts, and builds outreach tied to the specific change. Stack changes are intent signals. This agent catches them the moment they happen.

Tracks technology install and removal across the market

The agent monitors technology install data across job postings, website scripts, press releases, review sites, and technographic databases to detect when companies add or remove specific tools. The data is cross-referenced across multiple providers to reduce false positives — a single source showing a tech removal isn't enough. When the signal is confirmed across two or more sources, the account is flagged. Coverage spans CRM, marketing automation, sales engagement, data enrichment, analytics, and BI tools.

Example: Zenith Corp: Marketo removed (confirmed via 3 sources). Currently evaluating HubSpot and one unknown — job posting references 'marketing automation transition.' 4 contacts identified.

Classifies changes by displacement opportunity and intent level

Not all tech changes create the same opportunity. A competitor removal is a high-priority displacement play. A complementary tool addition signals active investment in the function you serve. A renewal-risk flag on a contract that's 18 months old with declining usage data suggests the account is evaluating alternatives. The agent classifies each change by opportunity type (displacement, expansion, renewal risk) and intent level, and surfaces only accounts where your product is a relevant fit — not every tech change in the market.

Overview:

Surfaces contacts tied to the technology decision

Technology decisions are made by specific people — not the company as a whole. The agent identifies the contacts most likely to have made or influenced the tech change: the head of Marketing Ops who owns the marketing automation stack, the RevOps Manager who manages integrations, the CTO who approved the migration. Each contact is verified for email and phone. The agent also flags if the decision-maker is a net-new contact not in the CRM, which is often the case when a company undergoes a technology transition.

Example: Zenith Corp: Head of Marketing Ops is a net-new contact — not in CRM. VP Marketing engaged 9 months ago (closed-lost). RevOps Manager recently promoted — likely decision-maker.

Generates outreach anchored to the specific tech change

Outreach that references the specific tool a company just removed — or the platform they just added — converts at significantly higher rates than generic cold outreach. The agent generates sequence copy that speaks directly to the transition: the pain the old tool likely created, the gap that now exists, and how your product fills it. For complementary tool additions, the copy focuses on integration value. For renewal risks, it focuses on the ROI case for switching while the contract window is open.

Example: Zenith Corp — email 1: "Looks like you recently moved off Marketo. Most teams at your stage find the 3-month window after a migration is the best time to clean up lead routing and scoring — worth a quick conversation?"

Today vs. with ABM Strategist

Today

With ABM Strategist

Works with

Three layers, one platform by Lantern

Every agent runs on three layers: a unified data model, 150+ enrichment providers, and an open-source engine where every decision is auditable.

Data Waterfall

150+ enrichment providers. Sequential routing optimized per segment. The best answer wins. No vendor lock-in.

Agent Engine

Open-source execution engine. Workflows defined in code. Human-in-the-loop checkpoints. Full audit trail on every action.

Revenue Ontology

Every data source normalized into one model. Entity resolution across systems. Relationships stored, not inferred. Schema that evolves with your business.

FAQ

Every day a competitor gets removed from a prospect's stack, someone wins that account. Make sure it's you.