DTC Brands: Had an interesting convo this week about how success metrics are evolving - it's now about profit over customer LTV. How's this shift impacted your marketing approach and tools? ๐ค #ecommerce#ecommercemarketing
Been enjoying @emanuelcinca gems on email list management. Even if you are focused on campaigns and flows instead of newsletters, a lot of the same principles apply.
If your list is growing but conversion is lagging you probably need to optimize your list. #DTC#EmailMarketing
Myth: list cleaning is only for newsletters with 10k+ subs.
Absolutely incorrect!
Have a list cleaning routine even if you are starting from 0.
Clean your email list early and frequently to maintain deliverability and open rates.
Proper onboarding and list cleaning from day 0 can save you hours of trying to fix issues.
If you're interested in lowering your Klaviyo bill, let me know. Orita is building some incredible ml tech to auto-suppress unengaged profiles / remove dups.
https://t.co/PRKN0EoRVD
We are revolutionizing customer data for DTC brands at @OritaAI. Join me at #Connections, a @Neo4j event. Discover the power of graph tech!
๐ June 14 for NA & Europe: https://t.co/w9iaVE8fzf
๐ June 15 for Asia Pacific: https://t.co/iANceCmDNt
What metrics are concerning enough to convince your DTC brand to look at the quality of its customer data?
- customer count that's inflated by 10%
- 14% increase in LTV
- 250k opt-in subscribers missing from your marketing list
Join us to discuss this next week. Link inย bio.
Pumped for this conference on June 14. Come check out my talk! I will go into how we use graph theory and machine learning to clean customer data and increase LTV for #DTC brands.
Don't understand all the hype around #ChatGPT and #LLMs when the folks behind @OfficialTandE and @adultswim invented the perfect chatbot over a decade ago.
Shouldn't we credit the true pioneers?
Sure, why not.
https://t.co/kw4Is7yBnb
A lot of buzz at #shoptalk about AI/ML taking brands to the next level of growth, CX, opsโฆyou name it. The elephant in the room is that none of this works without good data under the hood. Messy, siloed data is THE Achilles heel for any of these offerings.