How IGP unlocked a 3X CTR Uplift with Netcore Insight Agent

Industry Context

IGP (IndianGiftsPortal.com) operates in India’s online gifting and personalised e-commerce category, serving domestic buyers as well as the Indian diaspora sending gifts back home across occasions such as Valentine’s Day, birthdays, and festive seasons. The category is highly seasonal and occasion-driven, with campaign timing, personalisation, and message relevance directly shaping conversion during short, high-intensity demand windows. Retention and lifecycle marketing teams in this space depend on being able to read historical campaign performance quickly, since the gap between insight and action during a peak gifting occasion is measured in days, not weeks.

Despite running sophisticated multi-wave campaigns, IGP’s marketing team was making critical decisions with limited data visibility. Historical campaign performance was locked in fragmented spreadsheets and siloed tools, with no unified way to query patterns across years of sends.

Campaign Intelligence Blind Spots

• No unified view of wave-level performance – open rates, CTR, and send-time data had to be pulled and compared manually across multiple sources
• Half a day or more spent identifying patterns for a single campaign wave, leaving little time for strategic thinking or creative iteration
• Send-time decisions were driven by intuition rather than historical engagement data
• No way to identify which specific structural element (CTA format, footer design, subject line tone) drove performance in a given wave

Operational Inefficiencies

• Daily push notification reporting – 3 sends per day – consumed 3 to 4 hours of analyst time every single day
• Campaign wave-level analysis required 2 to 3 days of manual data extraction and reconciliation before planning could begin

IGP adopted Netcore’s Insight Agent – an AI-powered analytics interface that allows marketing teams to query their complete campaign history in plain English, in real time. Rather than extracting data manually from reports, the team could now ask questions directly and receive structured, actionable answers within minutes.

The Transition: Old Way vs. New Way

Before: Manual & Fragmented

• Multiple disconnected spreadsheets per campaign
• Manual cross-referencing of wave performance data
• Half a day to full day of effort per analysis task
• No historical pattern recognition across campaigns
• LLMsv used for analysis – but with no campaign context or memory

After: AI-Powered & Instant

• Single conversational interface for all campaign data
• Instant access to wave-by-wave historical performance
• Automated comparisons across channels, time periods, and waves
• Pattern recognition surfaced in minutes, not days
• Insight Agent retains full historical context across every query

Use Cases Adopted

Valentine’s Campaign Wave Analysis

Queried all four 2025 Valentine’s waves simultaneously to identify the structural elements that drove Wave 1’s outperformance – surfacing the “Gifts for Her / Gifts for Him” CTA pattern in minutes

Daily Push Notification Reporting

Replaced a 3-4 hour daily process with instant queries covering all three daily push notifications – open rate, CTR, and conversion summary

Pricing Tier Analysis
Evaluated performance of budget-price campaigns (“Gifts under ₹699” etc.); identified two underperforming price points and removed them from the active catalogue

Channel Performance Review
Pulled 3-month cross-channel summaries (email vs. push vs. WhatsApp) in a single query, replacing multi-day manual consolidation

The most immediate impact of Insight Agent was the time reclaimed from manual reporting and analysis:

 
Time freed from reporting is now reinvested into campaign ideation, creative testing, and strategic planning – shifting the team from reactive data retrieval to proactive campaign design.

Campaign Performance: Valentine’s Day 2026

The clearest measure of Insight Agent’s impact came from IGP’s Valentine’s Day 2026 campaign. Using Insight Agent to analyse 2025 wave-level performance, the team identified a single high-impact insight: Wave 1’s strongest performers featured “Gifts for Her” and “Gifts for Him” as footer CTAs – a structural choice that correlated directly with higher open rates and click-through rates.

This insight reshaped the entire campaign. The team restructured all four waves and the homepage around a dual-pathway gifting architecture. The outcome:

 
The insight that drove a 3X CTR improvement surfaced in minutes — the same analysis would previously have taken 2–3 days.

Strategic & Commercial Outcomes

• Pricing rationalisation: Two underperforming price points identified and removed from the active campaign catalogue, reducing wasted campaign spend on low-converting segments
• Send-time standardisation: The 11 AM–12 PM high-engagement window is now used as a default send slot across ongoing campaigns, improving baseline performance
• Real-time decision capability: The team can now execute data-backed decisions at campaign launch time – not after a multi-day analysis lag
• Faster experimentation: Lower friction for testing hypotheses accelerates learning cycles, enabling the team to iterate more aggressively across occasion campaigns

Having established Insight Agent as a core part of their campaign workflow, IGP sees significant untapped potential in the platform. The roadmap ahead:

Near-Term

• Deeper segmentation analysis – new vs. returning customers, high-value vs. dormant, first-time gifters
• Expand Insight Agent use across the full campaign calendar, not just major occasions
• Automate all campaign performance reporting end-to-end through Insight Agent

Strategic Horizon

• Multi-touch journey insights – identifying which content sequences drive the best end-to-end outcomes
• Direct revenue attribution – connecting Insight Agent recommendations to revenue outcomes
• Evolving from an efficiency tool to a full strategic marketing assistant