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Retailers, Q1 is in and savvy saving is the trend, as shoppers prep for future big-ticket moments. Despite economic headwinds, loyalty shines with a robust 43% repeat buyer rate. Unpack the insights in the latest Salesforce Retail Roundup newsletter to shape your strategy for what's next:

Retailers, Q1 is in and savvy saving is the trend, as shoppers prep for future big-ticket moments. Despite economic headwinds, loyalty shines with a robust 43% repeat buyer rate. Unpack the insights in the latest Salesforce Retail Roundup newsletter to shape your strategy for what's next:

Retailers, Q1 is in and savvy saving is the trend, as shoppers prep for future big-ticket moments. Despite economic headwinds, loyalty shines with a robust 43% repeat buyer rate. Unpack the insights in the latest Salesforce Retail Roundup newsletter to shape your strategy for what's next:

Retailers, Q1 is in and savvy saving is the trend, as shoppers prep for future big-ticket moments. Despite economic headwinds, loyalty shines with a robust 43% repeat buyer rate. Unpack the insights in the latest Salesforce Retail Roundup newsletter to shape your strategy for what's next:

🛍️ Yesterday I enjoyed time with the IMRG on their Weekly Retail Data Show, discussing the balance of trade so far this month leading into Black Friday. 🛒 📰 The headline: "Year-on-year performance comparisons and the associated data analysis is challenging, and a strong finish to the month is expected." 🤓 🧮 There are endless variables which don't help to line up trend and performance data with the same events in 2023, differing BF dates, alignment of Payday vs last year, differing campaign strategies, launch timings and durations etc etc... ⏳ 🧠 Strategy & Insight Director, Andy Mulcahy, ran through some reassuring data sets and analysis indicating that the slow start that some retailers have seen in a few categories are likely to be redressed over the next 2 weeks. 📈 🛍️ Angus Hayman tee'd things up focusing on product experience, the impact on conversion and the importance of rich product data. Andy Mulcahy then hosted our Q&A on the ways Upp.ai takes that product data and uses AI to turbo charge media effectiveness. 💰 🗺️ We explored some examples of retailers, across the Google LCS and GCS customer base, who are using Google PMax & Upp.ai to continue to grow in competitive environments with dynamic decisioning from Adaptive AI. 🤖 🛒 Upp.ai access to real time market retailer data, allows us to interpret and then feed this data back into Google Performance Max; before anyone else can react our PMax activation captures market demand, meaning instantaneous media efficiency and effectiveness for our partners and their trading teams being better able to manage retail business mechanics. 💶 💴 💵

Bold statement ⚠ For retailers to succeed they’ll need zero-party data. No pressure! So, why zero-party data? Essentially, it's the freshest and most accurate data available – data consumers have willingly shared. It’s why it trumps third-party and any other party data for that matter. Luckily, there are a variety of ways to easily capture it, like: 🛍️Online 🛒Instore 📧Email preferences ✅Quizzes 📑Surveys ⭕Polls Keen to learn how? Take a look at these 5 best zero-party data examples for a sneak peek at how leading retailers are capturing and using it 👇 bit.ly/3BCLVAU #ZeroPartyData #retail #retailmarketing

Great webinar with IMRG yesterday!

Bold statement ⚠ For retailers to succeed they’ll need zero-party data. No pressure! So, why zero-party data? Essentially, it's the freshest and most accurate data available – data consumers have willingly shared. It’s why it trumps third-party and any other party data for that matter. Luckily, there are a variety of ways to easily capture it, like: 🛍️Online 🛒Instore 📧Email preferences ✅Quizzes 📑Surveys ⭕Polls Keen to learn how? Take a look at these 5 best zero-party data examples for a sneak peek at how leading retailers are capturing and using it 👇 bit.ly/3BCLVAU #ZeroPartyData #retail #retailmarketing

Ever tried comparing sales data between years and felt like you're comparing apples to oranges? ➡️ Time Window Normalization is your solution for aligning data across different periods! Here's what it does: ✅Align data from different periods (e.g., Black Friday sales across years). ✅No more manual calculations. ✅Choose the right approach: whole periods, serialized time, YTD, etc. What time-based analysis challenges are you facing? Read more in this Wisdom Schema Analytics's blog for a detailed overview: https://lnkd.in/ghhV535F #dataanalysis #datavisualization #timewindownormalization #businessintelligence

#Retailers, Q1 is in and savvy saving is the trend, as shoppers prep for future big-ticket moments. Despite economic headwinds, loyalty shines with a robust 43% repeat buyer rate. Unpack the insights in the latest Salesforce Retail Roundup newsletter to shape your strategy for what's next: