#marketinganalytics

Hospitals lose leads when key touchpoints go untracked. Zero-click searches, WhatsApp inquiries, calls, offline referrals, and broken website funnels create gaps in reporting making your marketing look weaker than it is.

Fix the Blind Spots

Track every campaign with UTMs

Capture call and WhatsApp sources

Note source at reception

Audit funnels for broken steps

Use multi-touch or time-decay models

Combine online + offline data

Clearer tracking → smarter decisions → better patient growth.

Full blog :- The Hidden Blind Spots in Healthcare Marketing Attribution And How to Fix Them

Long-Tail Keywords:

Long-tail keywords are longer and more specific phrases that typically have lower search volume but higher conversion rates. They are valuable for targeting niche audiences. Look for a balance between high-volume and low-competition long-tail keywords.

For overseas applicants targeting an Australian master’s degree in the high employability space of business analytics - Melbourne and Sydney both offer thriving tech ecosystems, high livability quotients and academic rigor making decisions tough!

Melbourne fosters more specializations like marketing analytics and research competencies given the city’s vibrant commercial sector covering banking, retail and advertising driving innovation. Sydney however hosts more top-tier global firms especially in management consulting, logistics and financial services which amplify graduate employment despite steep living costs.

While Melbourne nudges ahead for student experience thanks to art culture, festivals and global cuisine options relieving stress for internationals - Sydney delivers a glamorous beachside lifestyle alongside historic charm that post-grads rave over given the sunny openness year-round! 

Ultimately academic quality and practical exposure should guide selections from both destinations rather than experiences for career-minded applicants focused on long-term opportunities. Leverage university global alumni networks once done with strategic degrees giving you the flexibility to spread your wings across Australia’s economics powerhouses!

Posted By:

Aditi Borade, 4th year Barch,

Ls Raheja School of architecture 

📊 Mastering Marketing Campaign Analysis with KNIME

Transforming raw marketing data into actionable insight requires more than calculating a few percentages. It demands a structured analytical workflow that connects campaign activity, customer behaviour and financial performance.

This infographic presents a practical KNIME workflow for marketing campaign analysis, covering:

✅ Data import and preparation using CSV Reader, Excel Reader and Column Filter ✅ Data-type correction, missing-value treatment and logical validation ✅ Aggregation with GroupBy before calculating campaign ratios ✅ Calculation of CTR, conversion rate, CPA, ROAS and ROI ✅ Conversion-funnel and drop-off analysis ✅ Channel and audience-segment comparison ✅ Visualisation through bar charts and scatter plots ✅ Performance classification for stronger decision-making

A key analytical principle is to calculate ratios from aggregated totals rather than averaging daily percentages. This prevents distorted results and supports more reliable comparisons across campaigns.

The workflow also helps diagnose common performance patterns. For example, a high CTR with a low conversion rate may indicate an effective advertisement but a weak landing-page experience. A high conversion rate combined with a high CPA may suggest that the campaign is effective but too expensive to scale efficiently.

📊 Marketing Campaign Analysis Using KNIME

Effective marketing analysis goes beyond tracking impressions and clicks. Organisations need to understand which campaigns generate meaningful conversions, control acquisition costs, and deliver measurable financial returns. Podcast: https://open.spotify.com/episode/5YZBqfZrPaFfruy43xt10R?si=Ok2WknQURf2QTPmxyR7Hbw In my latest tutorial, I demonstrate how to build a structured marketing campaign analysis workflow using KNIME Analytics Platform. Blog: https://assignmentonclick.com/marketing-campaign-analysis-using-knime-campaign-performance-metrics

The workflow covers:

✅ Importing and cleaning campaign data ✅ Validating impressions, clicks, conversions, spend, and revenue ✅ Calculating CTR, conversion rate, CPC, CPA, ROAS, and ROI ✅ Analysing funnel drop-off from impressions to conversions ✅ Comparing campaign, channel, and audience performance ✅ Identifying high-performing and underperforming campaigns ✅ Creating charts and exporting actionable reports

One of the most important lessons is that marketing metrics should not be interpreted independently. A campaign may achieve a high click-through rate but still produce a low conversion rate or poor return on advertising spend.