Overview

The Campaign Insight Agent is an AI marketing analyst built into Netcore CE. Instead of opening report after report, you ask a question in plain language and get a clear answer in seconds, backed by your own campaign data.

Ask about performance, audience behaviour, engagement, conversions, and revenue across channels. The agent reads your campaign data, explains what happened and why, and recommends what to do next. It can also be shaped to your brand and remember how your team likes to work, so the answers fit you rather than a generic template.

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How to Activate
To use this feature, contact your Netcore account manager. Once it is enabled:

A Get Insights option appears on the Campaign listing page when you log in to your Netcore CE dashboard.

No additional setup is required. Refer Enable Campaign Insight Agent for the activation steps.

Key Capabilities

Capability	Description
Campaign Performance Analysis	Understand how campaigns are performing across engagement, conversion, and revenue metrics with concise summaries backed by supporting numbers. The agent helps identify top-performing and underperforming campaigns, compare performance across channels, and highlight key outcomes.
Root-Cause Analysis	Go beyond understanding what happened and uncover why it happened. When performance changes, the agent analyzes contributing factors such as audience composition, channel effectiveness, content performance, send timing, message frequency, customer fatigue, and device or platform trends to explain the underlying causes.
Audience Insights	Understand how different customer segments respond to your campaigns and identify which audiences drive the outcomes that matter most. The agent compares engagement, conversions, and revenue across segments to help you understand customer behaviour and audience performance.
Trend Detection	Continuously monitor campaign and channel performance to identify meaningful trends, anomalies, and patterns. The agent surfaces unusual engagement spikes, emerging growth opportunities, declining metrics, and other performance shifts that require attention.
Cross-Channel Insights	Compare campaign performance across channels and understand how customers interact with multiple touchpoints before converting. The agent helps evaluate channel effectiveness, engagement differences, and customer journeys across Email, WhatsApp, SMS, Push Notifications.
Content Insights	Analyze the impact of creative elements such as subject lines, message copy, tone, emojis, images, and calls to action. The agent identifies what contributed to strong or weak campaign performance and provides guidance on how future content can be optimized for better results. When advanced content analysis is enabled, it can highlight specific content elements that influenced opens, clicks, and conversions.
Send-Time Optimization (STO) Analysis	Evaluate the effectiveness of campaigns that use *Send-Time Optimization*by analyzing the performance of messages delivered at each customer's preferred time. This helps determine whether STO improved engagement and campaign outcomes compared with standard delivery approaches.
Recommendations & Optimization Opportunities	Receive actionable recommendations based on campaign performance data. The agent suggests opportunities for audience refinement, channel optimization, frequency adjustments, timing improvements, content experimentation, and other strategies designed to improve engagement and conversions.
Brand-Aware Insights	Leverage insights tailored to your business context through a configured brand profile. The agent understands your priority metrics, key customer segments, channel strategy, business terminology, reporting conventions, and messaging guidelines, ensuring that analysis and recommendations align with how your organization operates.
Personalization & Memory	The agent remembers user preferences across conversations, such as preferred metrics, channels of interest, reporting style, and answer format. These preferences are automatically applied in future interactions to provide more relevant, personalized, and efficient responses while remaining private to your account.
Visual & Comprehensive Reporting	Present insights through clear summaries supported by tables, charts, and detailed analysis. On request, the agent can generate comprehensive business reviews that consolidate campaign performance, trends, channel analysis, top and bottom performers, and recommendations into a single report for easier decision-making.
Planning of Content Calender	Move from looking back to planning ahead. The agent uses your past performance, timing patterns, and content categories to suggest a forward-looking content calendar. Get recommendations on which themes to run next, the best days and times to send, and how to sequence content across channels to sustain engagement and avoid fatigue.

Why Use Campaign Insight Agent

Modern teams run campaigns across many channels, and the data is all there, but turning it into decisions usually means building custom reports, hopping between dashboards, comparing months by hand, digging for root causes, and waiting on an analyst. The Campaign Insight Agent removes those steps.

You ask, It analyses, You act

You Ask

In plain language, no reports to build.

It Analyses

Your own data, read and explained in seconds.

You Act

On clear next steps and recommendations.

What that means for you:

Faster decisions. Less time building reports and analysing data by hand.
Self-service analytics. Marketers answer their own questions without waiting on an analyst.
Better performance. Spot opportunities and optimizations earlier.
More visibility. A complete view of campaign and audience performance across channels.
Actionable output. Move from reporting metrics to understanding business impact and next steps.

Prompts to Get Started

These prompts cover common use cases and are a good way to get comfortable with the agent. Tap copy, paste into the agent, and go.

01Top & bottom performers

Prompt

What were the top 3 best and worst performing campaigns?

02Month on month

Prompt

Can you do a month-on-month analysis of the best-performing campaigns?

03Subject lines

Prompt

Can you help me do an in-depth analysis of the subject lines?

04STO comparison

Prompt

Point out the best-performing STO campaign and give me a comparative analysis of all STO campaigns from the last 30 days.

05Segments & revenue

Prompt

Can you recommend ways to segment customer data for better revenue?

06Open & click trends

Prompt

Identify open-rate and click-rate improvement patterns across campaigns over the past 3 months.

07Engagement fix

Prompt

Give recommendations to improve the engagement score for the worst-performing campaign in the last 30 days.

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Important Points to Remember

Analysis is supported across Email, SMS, App Push, Web Push, WhatsApp, and RCS.

Only included segment IDs are considered. Excluded segment IDs are not used in analysis. Similarly, only included list IDs are analysed.

For Email, the agent analyses subject lines. WhatsApp, RCS, and SMS subject lines are not included.

RCS message content is not analysed. If a CTA is recorded as zero, it means no CTA was detected. Multiple CTAs are not tracked.

Note: If no CTA is added, CTR will not be detected. The model gives less weight to campaigns where the CTA is absent or engagement was very low.

Key metrics tracked for campaign performance: Open Rate, Click Rate, Conversions, Revenue, and Unsubscribe Rate.

A broad prompt such as "Give me campaign data for the last 3 months" returns the first 5 campaigns by default. For more, follow up with a specific prompt, for example "Show insights for the top 10 campaigns" or "Provide data for the top 30 campaigns."

Netcore Recommends: Be specific in your first request. Name the number of campaigns you want (top 10, 15, or 30) to avoid incomplete results and extra follow-ups.

How Campaign Insight Agent Works

When you enter a prompt, the agent interprets your intent, retrieves the relevant data, finds the patterns, and returns an answer you can act on.

Understand the question. It identifies the metrics, campaigns, audiences, and time periods you are asking about.
Analyse relevant data. It evaluates campaign performance, engagement metrics, audience behaviour, and historical trends. Where configured, it also applies your brand profile and saved preferences.
Generate insights. AI models identify patterns, anomalies, relationships, and performance drivers.
Deliver actionable answers. Results are presented in plain language with supporting metrics, observations, and recommendations.

To explain why a campaign performed the way it did, the agent considers many signals simultaneously. These fall into three groups:

Content and tone: content category, message tone, use of emojis, punctuation, alphanumeric characters, subject-line length, character count, and word count.
Timing: day of the week, hour of the day, and day type (weekday or weekend).
Targeting: whether the message is personalized, and the campaign type.

One of these signals, content category, is worth a closer look, because it shapes how the agent groups and compares your campaigns.

Content Categories

The agent reads the words in your message and sorts each campaign into a content category. This lets it compare like with like, for example, one set of discount campaigns against another, instead of comparing a sale blast to a how-to guide. The categories and the keywords that trigger them are:

Promotion of New Arrivals: keywords such as New Arrival, Fresh, Introducing, Breaking, and First Look.
Promotion of Recommended Products: keywords such as Top Picks, Recommended, Must-Have, Trending, and Just For You.
Discounted Promotions: keywords such as Sale, Discount, Flash Sale, Exclusive Offer, Price Drop, and Special Price.
Content Engagement: keywords such as Guide, Tips, How To, Discover, Learn, and Insights.

Known Limitations

A few conditions help you interpret results accurately:

For recently launched campaigns, insights are available after twenty-four hours.
Engagement and conversion data, updates for up to 30 days after a campaign. On day 30th, the data becomes static.
Recent campaigns may show lower CTR and Open Rate, which can skew insights.
Customer data uses a rolling one-year window. For example, if today is June 26, 2026, insights use data from June 26, 2025, to June 25, 2026.

Responsible AI and Transparency

The Campaign Insight Agent is built to support decisions, not replace them. It generates insights from your available campaign data, shows the supporting metrics behind its recommendations, and uses explainable reasoning where applicable. Review generated insights alongside your organisational goals and business context before acting on strategic decisions.

Data privacy and isolation. Each customer's data, brand profile, and saved preferences are isolated to their own account and used only to answer that account's questions.