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https://t.co/JBFzlFVrTO
#V4C
Dozens of women showed up. Lives were touched. Screenings were done. Smiles were shared.
Weβre grateful for every volunteer, medical staff, and woman who took a bold step for her health. ππ½πͺπ½
@HouseOnTheRock#CancerAwareness#CommunityHealth#PHOutreach
β SUCCESSFUL OUTREACH ALERT!
On the 29th of March 2025, the Army of David Foundation held a free Breast & Cervical Cancer Screening Outreach @HOTRphc , and it was a massive success!
#ArmyOfDavid#HealthForHer
π₯ Breast & Cervical Cancer Screening Alert!
Cancer caught early = lives saved! Late detection of breast & cervical cancer is dangerous, but early screening makes a huge difference.
π House on the Rock, PH
π 29th March 2025
β° 10 AM
#BreastCancerAwareness#CervicalHealth
Women in Port Harcourt, if you're 25+, this free screening can save lives! Early detection = better chances of survival. Join us!
π Organized by Army of David Partners
Scan the code & register now!
#CancerScreening#HealthForAll#WomenHealth#ArmyofDavid
π₯ Breast & Cervical Cancer Screening Alert!
Cancer caught early = lives saved! Late detection of breast & cervical cancer is dangerous, but early screening makes a huge difference.
π House on the Rock, PH
π 29th March 2025
β° 10 AM
#BreastCancerAwareness#CervicalHealth
Potential culprits:
Unexpected fees or checkout friction
Mobile visitors browsing but not buying
Cart abandonment from price or shipping concerns
If this is not fixed, the store is leaving money on the table.
What would you optimize first? Drop your thoughts.
#Ecommerce
More traffic. Higher revenue. But fewer conversions.
If this were a physical store, you would see a packed space with full carts and a long line of abandoned checkouts.
So what is going on? Letβs dive in.π
#DataAnalytics#GA4#LookerStudio
But then comes the plot twist.
Conversion rate is down 19.6 percent.
More traffic, more revenue, but fewer checkouts. It is like hosting a grand opening, attracting a crowd, but seeing most people leave without buying.
What is causing the friction?
@Godsent_Ogar For example after analysing a sales data,
A surface-level insight would be:
"Sales dropped by 15% in February."
But after digging deeper it can be βSales dropped by 15% in February, because the month was shorter (28 days) and our Valentineβs Day campaign didnβt launch early.β
Haiti (795K) and Gaza City (713K) deaths make up 60%+ of fatalities, with Deir al-Balah, North Gaza, and Rafah also heavily hit. Airstrikes (879K) are deadliest, while building collapses cause most injuries, suggesting higher survival rates.
This analysis reports 403 incidents, 2.4M fatalities, and 300K+ injuries. 85% of deaths are due to lack of medical access (sepsis, asphyxiation, hemorrhagic shock), while 15% result from direct conflict, exposing warβs severe impact on healthcare.
π¨ Churn Analysis π¨
Every business loses customers, but why? Thatβs where churn analysis comes in!
Churn analysis isnβt only about predicting who will leave, itβs about understanding why they did. Data helps spot patterns, reveal trends, and drive action before itβs too late.
For example, in the telecommunication industry, there are some reasons why customers churn, which are:
πΉ Contract β Monthly users churn more.
πΉ Service β Single-service users leave more.
πΉ Billing β Higher costs = higher churn.
πΉ Support β More complaints, more exits.