/gcloud-kit:targets

Identify target accounts by cross-referencing the URN list with spend data.

Overview

Combines the customer URN dataset (52,672 organisations) with G-Cloud spend data (260,187 transactions) to identify high-value target accounts. Scores targets using a multi-factor algorithm and segments them into priority tiers.

Usage

/gcloud-kit:targets whitespace
/gcloud-kit:targets displacement "Acme Corp"
/gcloud-kit:targets sector NHS
/gcloud-kit:targets region SW1
/gcloud-kit:targets lot 2
/gcloud-kit:targets growth
/gcloud-kit:targets consolidation

Arguments:

Argument	Description
whitespace	Organisations not yet buying on G-Cloud (~47,237 non-buyers)
displacement [competitor]	Customers to win from a specific competitor
sector [type]	Focus on a specific sector (NHS, Education, Defence, etc.)
region [postcode]	Geographic targeting by postcode area
lot [1/2/3]	Target accounts by lot spending
growth	Fast-growing accounts (increasing spend year-on-year)
consolidation	Multi-supplier accounts (consolidation opportunities)

Prerequisites

None — uses bundled data.

Data sources

• .gcloud/data/ccs-customer-urns.csv.gz — 52,672 organisations
• .gcloud/data/gcloud-spend-data.csv.gz — 260,187 transactions (Apr 2012 – Oct 2023)
• .gcloud/data/ccs-customer-merges.csv.gz — for validating org changes
• services/{name}/tender-intel.md — optional; when present, its "Top buyers in this space" tables surface live award-active buyers to complement the historical spend data above

Output

Target account report with scoring and recommendations.

Scoring algorithm

Factor	Weight
Sector fit	25%
Existing buyer status	25%
Lot relevance	20%
Organisation type	15%
Recency of activity	15%

Targets are segmented into priority tiers: high, medium, and long-term.

Related commands

• /gcloud-kit:customer — look up specific URNs for validation
• /gcloud-kit:sales — deeper analysis of specific account spending
• /gcloud-kit:tenders — produces tender-intel.md for live, award-active buyer targets (the spend data ends Oct 2023)