Kostenüberhänge durch manuelle Listenbearbeitung und Datenlieferung

Definition

Australian data‑rental providers explicitly promote services to 'identify your target market and organise the entire mail‑out process', including segmentation and data preparation, indicating that list‑rental jobs typically involve non‑trivial selections and formatting work.[4] In periodical publishing, similar work is often done internally by data or subscriptions teams using CRM queries and spreadsheets for each external client order. Each campaign that must respect multiple filters (e.g., geography, profession, activity, opt‑in status) usually requires several iterations with the client, and any change in criteria triggers re‑extraction and re‑formatting. For a mid‑size publisher handling 5–10 external list‑rental or data‑licensing jobs per month, it is realistic that analysts or coordinators spend 1–2 hours per job in data prep and checks, plus occasional rework, totalling around 20–40 hours per month (logic estimate from common operations patterns). At an on‑costed labour rate of AUD 60–80 per hour, this equates to AUD 1,200–3,200 per month or AUD 14,000–38,000 per year in manual processing overhead that could be substantially reduced via standardised query templates, self‑service selection portals, or integrated campaign tools (logic evidence).

Why This Matters

The Pitch: Periodical publishers in Australia 🇦🇺 often spend 20–40 Stunden pro Monat extra on manual extraction, cleaning and formatting for list rental jobs. Automation of selection rules, templates and secure exports can cut this effort and associated labour cost by half.

Affected Stakeholders

Audience/Data Analysts, Subscriptions Operations, Marketing Operations, IT/Data Engineering, Sales Support

Related Business Risks