How we automated Nova's content repurposing pipeline, campaign performance reporting, and client briefing process — tripling content output, eliminating 16 hours of weekly reporting work, and creating £620k in new annual revenue capacity from the existing team.
Nova Media Agency managed 28 client accounts with a team of 22. Content created for one channel was never repurposed. Weekly campaign reports took 16 hours firm-wide. Client briefs were unstructured with a 40% rework rate.
We deployed four automation pipelines in 12 days. Within 60 days, content output tripled from the same team, reporting time fell 82%, and capacity for 8 additional client accounts — £620k in new annual revenue — was created without a single hire.
Nova had built a genuinely creative agency with strong client relationships and a reputation for campaigns that performed. The operational problems were almost entirely in the unglamorous infrastructure underneath the creative work — the reporting, the briefing, the repurposing, the admin. The CEO's assessment was blunt: 'We're an agency that pays creative people to do administrative tasks. Every hour a strategist spends pulling data from Meta Ads Manager is an hour they're not doing the thing we actually hired them for.'
Nova had the client demand to grow to 40+ accounts. The operational model — built for 15 — was the constraint. Without automation, every new client account required proportionally more team time they didn't have.
A long-form blog post for a client took 6 hours to produce. That same content could generate 1 LinkedIn article, 5 social posts, 3 email newsletter sections, and 1 short-form video script — but none of that happened. Each format was briefed and produced separately. The result: 3× the creative hours for content that shared 80% of its ideas. Result: Content production cost 3× higher than necessary.
Each of 28 client accounts required a weekly performance report. Data pulled manually from Meta Ads, Google Ads, Google Analytics, LinkedIn Campaign Manager, TikTok Ads, and each client's CRM. Formatted into client-branded templates. Delivered — often late — by Monday morning. 16 combined hours across the team on a task that generated no strategic value. Result: 832 hours/year of strategist time on data assembly.
New campaign briefs arrived by email in whatever format the client chose to write. No consistent intake process, no mandatory fields, no AI pre-screening for missing information. 40% of projects hit a rework cycle in week 1 when the team discovered a missing audience definition, unclear success metric, or conflicting budget assumption. Result: Rework averaging 8 hours per project · 12 projects affected per quarter.
Client audience segments were built during onboarding and updated every 3 months from exported platform data. No real-time behavioural signals, no automated refresh, no trigger-based action when a segment's performance changed. Campaigns ran against stale audience definitions for weeks before anyone noticed. Result: Campaign ROAS averaging 15% below platforms' real-time optimisation potential.
Each pipeline was designed to remove one operational constraint — freeing the creative team to focus on strategy, creative direction, and client relationships.
Long-form content published to CMS triggers automatic repurposing. Claude AI generates LinkedIn article, 5 social captions (platform-toned), 3 email sections, short-form video script, and meta description — all in the client's established voice. Content team reviews and publishes. 45-minute review vs 6-hour creation.
Every Sunday night, n8n pulls performance data from all 6 platforms per client. Claude AI analyses performance against KPIs, identifies anomalies, and writes a plain-English summary with recommended actions. Client-branded report generated and delivered to strategist inbox by Monday 8am. Review time: 6 minutes per report.
New campaign brief triggers a structured intake form with mandatory fields and conditional logic based on campaign type. Incomplete submissions blocked. Completed brief pre-processed by Claude AI: audience definition validated, success metrics clarified, budget allocation checked against platform minimums. Brief arrives at the creative team ready to execute.
Weekly automated pull from all ad platforms refreshes audience segment performance data. Underperforming segments flagged to the account strategist with context. High-performing lookalike opportunities identified. Competitor ad creative tracked via AdSpy API and summarised in a weekly digest delivered to each client account team.
All figures extracted from Harvest time-tracking, platform APIs, and client account data at 60 days. Reviewed with Nova's leadership team before publication.
Time tracking analysis across all 22 team members. Platform API access scoped. Content production workflow mapped. Brief rework root cause analysis. Three department head interviews.
Repurposing format templates defined per content type and platform. Report template architecture designed in Data Studio. Voice and tone profiles built for all 28 client accounts. Designs reviewed and approved by Head of Content and Head of Strategy.
Repurposing pipeline live day 9 — tested on 5 live client content pieces. Reporting pipeline day 10. Brief intake form day 11. Audience intelligence day 12. Total client team time required: under 4 hours.
Repurposed content reviewed by content leads for first 3 weeks. Voice model refined per client based on feedback. Report summaries reviewed by strategists — AI narrative accuracy rated 8.7/10 average. Brief intake logic updated based on first 40 submissions.
All pipelines at full autonomy. First 2 new client accounts onboarded using automated process — onboarding time 68% faster than previous average. Monthly content and reporting optimisation sprint active.
45-minute strategy call. We'll audit your ops, identify your top automation wins, and give you the ROI estimate — specific to your stack.
Book Free Strategy Call View PricingWe tripled our content output without adding a single person. One blog post now automatically becomes a full week of social content, an email section, and a video script — all in the client's voice. Our clients think we've significantly expanded our team. We haven't. We've just automated the mechanical parts of content production.
Monday mornings used to mean 3 hours pulling data and writing reports before I could do any actual strategy work. Now the report is in my inbox at 8am, already written, and I spend 6 minutes reviewing it. That's 12 hours a month I now spend on actual client strategy. It's the best quality-of-work improvement I've had in 6 years in this industry.
Whether your problem is onboarding, churn, reporting, or all three — the pattern is the same. Let's audit your ops and build the roadmap.