How a Conversation Replaced a Spreadsheet: AJobThing's 92% Click Lift with Netcore’s Insight Agent

AJobThing ran a high-frequency email programme across both audiences – employers and job seekers – but the team was making send decisions with limited visibility into what actually drove performance. Before Insight Agent, every performance review meant manually cross-referencing exports to compare one week against the next – a slow process that left little confidence in the picture it produced, and no early warning if the channel itself was starting to strain.

Campaign Intelligence Blind Spots

• Week-over-week comparisons: Comparing performance across Open Rate, CTR, Delivered, and Sent meant pulling and reconciling exports by hand, which made it hard to spot patterns quickly.
• Assumption over evidence: Send decisions ran on assumption rather than historical engagement data – the team couldn’t say with confidence which content, which segment, or which send time performed.
• Send-time guesswork: Optimal send times were hard to isolate, so scheduling ran on habit rather than evidence.
• Invisible content performance: Without a content-type view, the team couldn’t tell a Promotion send from a Hiring Kit send in performance terms.
• Undetected audience fatigue: Early signs of audience fatigue went unnoticed until unsubscribes had already climbed, putting sender reputation and domain deliverability at risk for every future send, not just the one that caused it.

To protect that reputation and get more out of every send, AJobThing needed a way to turn raw campaign metrics into fast, actionable decisions – without adding manual overhead to get there.

That need led AJobThing to Netcore.ai’s Insight Agent, built to turn campaign data into plain-language answers: what happened, why it happened, and what to do next.

Rather than logging into static dashboards or rebuilding spreadsheets, AJobThing adopted the “Get Insight” natural-language prompting workflow. A structured set of recurring analyses, run weekly and monthly, formed the core of the team’s routine:

• Weekly Performance Comparison: Compared consecutive weeks (10 to 16 Jul vs 17 to 23 Jul) across Open Rate, CTR, Delivered, and Sent, returning the roadblocks and the recommended actions alongside the numbers, plus a weekly email health summary.
• Campaign Analysis by Content Type: Identified top-performing campaigns by content type, separating a Promotion send from a Hiring Kit send so the team knew which message earned engagement.
• Send Time and Volume: Ran weekday comparisons, day-of-week analysis, and before-and-after-9 AM splits to isolate the effect of timing and volume on results.
• Template Performance: Ranked email templates by Open Rate and CTR, giving the team a clear creative direction for the next build.
• Segment Analysis: Delivered a three-month, month-over-month view that ranked segments and surfaced the trends worth acting on.
• Executive Summary: Generated key insights and recommended actions in a format ready to paste straight into a stakeholder report.

To reinforce these habits, automated daily and weekly review prompts were enabled, keeping campaign optimisation continuous rather than a once-a-week scramble.

Efficiency Gains

The first return on Insight Agent was time reclaimed from manual reporting: comparative analysis that once meant days of cross-referencing exports now returns on demand, simply by asking – catching problems before the next send goes out, not after.

Campaign Performance: The Leaner Send

The clearest measure of Insight Agent’s impact came from a single week. Ahead of the 29 July send, the team ran Insight Agent across send time, day of week, content type, template performance, and audience segment – and the analysis converged on one conclusion: the programme was over-sending to a broad list, and a tighter, better-timed send would outperform a larger one.

• The team acted on it: for the 29 July send, they cut volume by 35% and concentrated on the timing, content, and segments the data favoured – same audience quality, a leaner send. The outcome:
• Higher Yield Engagement: Total clicks nearly doubled, up 92%, pushing CTOR from 2.8% to 5.7%.
• Audience Preservation: Unsubscribes fell 43%, easing list fatigue and keeping AJobThing’s channel to employers and jobseekers open for longer.
• Workflow Acceleration: Days of manual cross-referencing became instant natural-language prompts, letting CRM managers act on data in real time.

Replacing spreadsheets with a conversation didn’t just save time – it changed how AJobThing works with its own data, and how much strain that data can take before something breaks. Scaling an email programme was never about sending more mail; it was about reading audience signals faster and acting on them before the list pushed back, and before an employer or jobseeker checked out for good. That’s the shift Insight Agent gave AJobThing, and it’s already shaping how the team plans its next send.