Marketers don’t just want reach. They want results they can trust.
Fetch has partnered with ABCS Insights to raise the bar for campaign measurement.
Our Randomized Control Trial (RCT) framework, combined with ABCS’s independent validation, proves that Fetch drives real, incremental impact: +18.15% in sales lift, +16.25% in household penetration, and $4.40 iROAS across 32 campaigns.
No guesswork. No proxies. Just proof. Learn more: https://lnkd.in/eiksxRPy
Quantifying the real-world impact of marketing has never been more important. Independent, transparent measurement gives brands the confidence to make smarter investment decisions, and ABCS is committed to advancing those practices across the industry. Partners like Fetch help demonstrate how high-quality purchase data and well-executed promotion strategies can deliver meaningful results for FMCG advertisers.
Marketers don’t just want reach. They want results they can trust.
Fetch has partnered with ABCS Insights to raise the bar for campaign measurement.
Our Randomized Control Trial (RCT) framework, combined with ABCS’s independent validation, proves that Fetch drives real, incremental impact: +18.15% in sales lift, +16.25% in household penetration, and $4.40 iROAS across 32 campaigns.
No guesswork. No proxies. Just proof. Learn more: https://lnkd.in/eiksxRPy
After analyzing 2,500+ A/B tests, we found:
- Small friction points silently kill revenue.
- Some “optimizations” actually backfire.
- Tiny tweaks can significantly boost AOV & retention.
Here’s what actually works (backed by real data): 👇
We “optimized” our way into silence. CTR was cute; revenue wasn’t.
The turning point was admitting that 𝐜𝐡𝐞𝐚𝐩 𝐚𝐭𝐭𝐞𝐧𝐭𝐢𝐨𝐧 ≠ 𝐜𝐡𝐞𝐚𝐩 𝐚𝐜𝐪𝐮𝐢𝐬𝐢𝐭𝐢𝐨𝐧.
The pivot:
• 𝐎𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬 → bid to purchased events only. No proxy KPIs.
• 𝐒𝐢𝐠𝐧𝐚𝐥 → one clean server-side conversion, deduped.
• 𝐂𝐫𝐞𝐚𝐭𝐢𝐯𝐞 → story beats: problem → proof → payoff. Screenshots or it didn’t happen.
• 𝐎𝐟𝐟𝐞𝐫 → bundles/guarantees that fix the objection, not discounts that dodge it.
• 𝐏𝐚𝐜𝐢𝐞𝐧𝐜𝐞 → let learning finish; scale on blend, not a lucky day.
Eight weeks later: 𝐂𝐏𝐀 −𝟑𝟖%, 𝐑𝐎𝐀𝐒 +𝟓𝟐%.
𝐋𝐞𝐬𝐬𝐨𝐧: If the metric can’t move a bank account, it doesn’t deserve a slide.
#DigitalMarketing#PerformanceMarketing#Growth#CRO#DemandGen
Most brands waste time A/B testing.
Here's when to skip the test and just launch:
→ Traffic under 50k/month (you'll wait 6 months for significance)
→ You're fixing something broken (removing friction ≠ needs testing)
→ It's a best practice from 100+ tests (trust the data)
→ Your timeline is shorter than your test duration
Real CRO = knowing when NOT to test.
Ship fast. Test what actually moves revenue.
While Gmail takes delivery data away, Yahoo gives it back.
Google is retiring Postmaster Tools V1 at the end of October — IP and Domain Reputation data has already disappeared from the API. Meanwhile, Yahoo has rolled out new features that make deliverability insights more accessible.
Change is constant — make sure you’re using the tools that keep your email program strong.
There’s no API for Yahoo Sender Hub: Insights ... yet
💡 New in Yahoo Sender Hub: Insights
We’ve launched a new Insights feature to help senders better understand their delivery performance at Yahoo Mail.
With Insights, you can now:
📊 View aggregated delivery data for your verified DKIM domains
📈 Track Spam Complaint Rate and Delivered metrics over time
⚙️ Compare trends week-over-week to spot changes quickly
Find it under Dashboard in your Sender Hub account, click Activate, and start exploring your data..
This is the first step toward more transparency and actionable insights for senders. More to come soon!
👉 Learn more on our blog: https://lnkd.in/gbAn_enD
🚨 We 5x’d client results at BuzzLead the moment we stopped guessing - and started testing like psychos.
Most people think they’re testing. They’re not.
> They’re sending one campaign
> Switching the subject line
and calling it “A/B testing.”
That’s not testing - that’s hoping.
When Troy Aitken, MBAand I started running outbound like a lab instead of a lottery,
everything changed.
-----
Here’s what that looked like:
> 8 ICPs → 2 winners
> 3 personas per ICP → 6x reply consistency
> 8-10 copy angles per persona → 3.4% → 6.8% reply lift
> Offers refined weekly → booked calls doubled
-----
We didn’t get lucky. We got loud with data.
Testing isn’t sexy.
t’s repetitive. It’s boring.
It’s the only thing that makes you money consistently.
💡 New in Yahoo Sender Hub: Insights
We’ve launched a new Insights feature to help senders better understand their delivery performance at Yahoo Mail.
With Insights, you can now:
📊 View aggregated delivery data for your verified DKIM domains
📈 Track Spam Complaint Rate and Delivered metrics over time
⚙️ Compare trends week-over-week to spot changes quickly
Find it under Dashboard in your Sender Hub account, click Activate, and start exploring your data..
This is the first step toward more transparency and actionable insights for senders. More to come soon!
👉 Learn more on our blog: https://lnkd.in/gbAn_enD
CSMs: stop calling them "check-ins"
Nobody wants to be checked on.
They want to be helped.
The "check-in" death spiral:
- "Just checking in!" (delete)
- "Wanted to touch base" (delete)
- "Following up on my follow-up" (block)
- "Any updates?" (unsubscribe)
What actually works:
"Saw you launched X. Three clients increased adoption 40% with this approach: [specific tactic]"
"Your usage dropped 30%. Usually means [specific issue]. 15-min fix?"
"Competitor just raised prices 20%. Here's how Client Y leveraged this for expansion."
VALUE.
SPECIFICS.
OUTCOMES.
My response rates:
- "Check-ins": what response rate? 🤷
- Actual value: 78%
Stop checking in.
Start showing up.
What's your most hated "check-in" phrase? 💙
Google ADK and Gemini API are on point in the level of abstraction, makes things so easy and exciting to work with and build systems.
What I am missing now is having customizable internet, so I can edit websites for example, today I am working on kaggle and I think it misses an AI assistant built into the website, maybe similar to gemini on colab.
Documentation and api pages and websites for programming libraries all miss a reasoning agent to help navigate the page and recommend methods to buid the most useful program using the library.
Besides so many other use cases and websites to automate.
#AgenticAI#AI#ML#Programming
✨ Radically improving the developer experience for generative AI.
🥱 Couldn't sleep, so I implemented a customer support bot for the Gemini API docs using our new File Search API and Google Search grounding.
🔍 ICYMI, File Search gives you a makeshift, out-of-the-box vector database, and Search grounding gives you up-to-date references.
📄 File Search: https://lnkd.in/gK_35-wJ
🔗 https://lnkd.in/givrn26V
Idempotency: The word that saved my career.
Picture this:
- User clicks "Pay Now" button.
- Network hiccups.
- User clicks again. And again.
Result?
- Charged 3 times.
- Angry customer.
- Refund headaches.
The fix -> Idempotency
Fancy word. Simple concept.
"Same request multiple times = Same result once"
How we do it:
Request 1: ID abc123 → Process payment
Request 2: ID abc123 → Already processed, return success
Request 3: ID abc123 → Already processed, return success
One charge. No matter how many clicks.
Where else?
- Creating orders
- Sending notifications
- Updating inventory
- Any payment operation
Implementation:
- Generate unique ID on client side.
- Check if ID exists before processing.
- Simple database lookup.
The lesson:
- Users will click twice.
- Networks will fail.
- Requests will retry.
Design for that:
- One extra check saves a thousand support tickets.
(Photo credit: https://lnkd.in/g6dP-fsv)
#Idempotency#BackendEngineering#APIDesign#SystemDesign#DistributedSystems#SoftwareArchitecture#PaymentSystems
Data-driven Media & AdTech Account Director
1w🚀