(NASDAQ: $FLWS) reported 3QFY26 results ahead of WTR estimates as ongoing cost reduction initiatives and improved operating discipline continued to support profitability trends despite softer top-line demand. 🔹 Management achieved its full $50MM annualized cost savings target ahead of schedule, helping adjusted EBITDA outperform expectations 🔹 Floral & Gifts remained pressured by marketing pullbacks and evolving search engine dynamics, while Gourmet Foods & Gift Baskets outperformed supported by wholesale strength and favorable Easter timing 🔹 Management continues to position FY26 as a foundational transition year focused on stabilizing operations, improving marketing efficiency, and returning the business to profitable growth Read Douglas M. Lane, CFA's full report for additional detail on FLWS’ transformation strategy, profitability outlook, cost savings execution, and FY27 considerations. $FLWS #Ecommerce# #Retail# #Consumer# #DigitalMarketing# #NASDAQ# #SmallCaps# #Investing# #ConsumerTrends# #Flowers# #WaterTowerResearch#

We're covering how the world feeds itself in a changing economy and climate, from farming to supply chains to consumer trends. Read the latest issue and sign up for our Business of Food newsletter:

We're covering how the world feeds itself in a changing economy and climate, from farming to supply chains to consumer trends. Read the latest issue and sign up for our Business of Food newsletter:

We're covering how the world feeds itself in a changing economy and climate, from farming to supply chains to consumer trends. Read the latest issue and sign up for our Business of Food newsletter:

personalisation will be the biggest story in finance & trading - for the next 5 years: 1) why? - today, finance lacks personalization because txns are mostly context-free eg. a credit card txn is just: amount + time + counterparty/merchant (too little signal for true personalisation) - one can argue merchant/category helps, but it’s still shallow eg. the same $500 nike txn could mean marathon training, flipping a drop, or buying your girl a gift. amount + category can’t distinguish them and the data is expensive & available only to select hedge funds who use it to predict consumer trends 2) so, how to solve? - many fintechs tried in 2010s to build “personal finance” or even “robo-advisor” apps but they all failed as txns hardly had any context - they all gave generic market advice (based on hardcoded user risk preferences) while social media (tiktok/insta/X) got hugely personalised as content already has context built-in and you can have profiling based on that context - and that led to whole dopamine loops (initially caption & hashtags were used as context) - real personalization comes from ‘why’ the txn happened, not just ‘what’ happened if you think every trade or payment has a context i.e there’s always a story (eg. leo’s salp longed mu because they believe in memory shortage story or i bought this black casio to signal lowkey cool) 3) why now? - finance (both payments & trading) is becoming increasingly a socio-cultural phenomenon eg. streamers or tiktoks influence majority of our spending or trading decisions + we like to share every trade/purchase with our friends - ai agents can natively attach intent, goals, and context to every txn and ai is increasingly getting better at ‘personalising’ once it has enough context (eg. how hermes or chatgpt keeps remembering what you talk to them or research and your gmails/calendar also serves as context) every finance app would have an ai attached which is constantly gathering and mapping ‘context’ (and no, ai won’t control your finances but it’d be in the loop to gather your context) 4) how it's happening? - once txns become context-rich, finance becomes truly personalized eg, @fomo or @Pumpfun allows someone to make a memecoin trade contextual by attaching a thesis and broadcasting to followers and @tryramp captures context for a payment txn from SaaS interactions like emails, calendars and past behaviours. while @Plaid is building a txn foundation model to capture ‘why’ of a payment - all txns on crypto are open in nature: there’s a huge graph already getting built on our wallets from the last 10 years wallets are right now unlabelled context - we just need to make them contextual 'invisibly' and yeah, crypto apps will need to add context and that’ll be their moat we’re witnessing a glimpse via social trading - where a trader doesn’t even realise they’re adding the ‘context’ to their trades (using thesis or callouts) 5) once we have context on txns: - we'll see more personalised investing experiences (eg. you bought Apple for the iPhone cycle but sales didn't turn out to be good - your app flags the broken thesis and you sell) - i feel there’s a tremendous social x ai unlock waiting to happen in finance let’s build the next wave of contextual finance apps! 🫡