MarketScope USA

Marketing Analytics & Market Research Company

[MarketScope USA @_marketscope]

In the latest article from The Arth Group, we discuss '𝗢𝗽𝘁𝗶𝗺𝗶𝘀𝗺 𝗢𝗽𝗲𝗻𝘀 𝘁𝗵𝗲 𝗗𝗼𝗼𝗿. 𝗧𝗿𝘂𝘀𝘁 𝗜𝘀 𝗕𝘂𝗶𝗹𝘁 𝗼𝗻 𝗘𝘃𝗶𝗱𝗲𝗻𝗰𝗲.' and explore how evidence connects with trust and becomes an ally to pathfinders.

https://t.co/RsSs0y8E5J

[MarketScope USA @_marketscope]

In Ed 24 of 𝗧𝗵𝗲 𝗚𝗧𝗠𝗔𝘁𝗹𝗮𝘀 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗕𝗿𝗶𝗲𝗳, we introduce 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝟬𝟱: 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗘𝗻𝗮𝗯𝗹𝗲𝗺𝗲𝗻𝘁 & 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 and explore how contextual intelligence connects revenue signals to coordinated action.

https://t.co/CyzS6YK9PE

[MarketScope USA @_marketscope]

Architecture in Motion: Designing Campaigns That Orchestrate Themselves https://t.co/FvuEKaOtp9

[GTMAtlas @gtmatlas]

In this week’s 𝗚𝗧𝗠𝗔𝘁𝗹𝗮𝘀 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗕𝗿𝗶𝗲𝗳, we explore how to turn Marketing Qualified Campaigns (MQCs) into a repeatable, compounding market motion.

👉 Read this week’s Executive Brief: https://t.co/MOI6YQHLsj

#GTM #GTMOrchestration #GTMAtlas

[MarketScope USA @_marketscope]

Architecture in Motion: Designing Campaigns That Orchestrate Themselves #GTM #Atlas #Marketscope

https://t.co/FvuEKaOtp9

@gtmatlas

[Global Big Data Conference @bigdataconf]

OpenAI Introduces Visual Ads Alongside Image Generation Results https://t.co/wFTvHtW4nE #AI, #DataScientist, #Developer, #MachineLearning, #Deeplearning, #software, #Genai, #ML, #agenticai, #llm, #MCP, #RAG, #LLm

[MarketScope USA @_marketscope]

Navigating the AI Frontier: Lessons from Past Crises for Future Resilience https://t.co/ojb4h8FeXi via @LinkedIn @HigheringAI

[MarketScope USA @_marketscope]

The GTMAtlas Executive Brief Edition 23: '𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗶𝗻 𝗠𝗼𝘁𝗶𝗼𝗻: 𝗗𝗲𝘀𝗶𝗴𝗻𝗶𝗻𝗴 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀 𝗧𝗵𝗮𝘁 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗲 𝗧𝗵𝗲𝗺𝘀𝗲𝗹𝘃𝗲𝘀' is out now.

https://t.co/bqR3hltr6q

Please read, like, comment, & share the article. #GTM #atlas

[Semrush @semrush]

Have you ever purchased a product an AI chatbot recommended?

Our study of 2,338 U.S. consumers found that 57.5% of AI users have both purchased a product based on a chatbot’s recommendation and decided not to buy something because of it.

The same AI systems helping brands get discovered can also talk customers out of buying from them.

So what determines which way the decision goes?

Find out in our study: https://t.co/oT605Ml7aM.

[MarketScope USA @_marketscope]

𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗕𝗿𝗶𝗲𝗳 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝟮𝟬: 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹𝗶𝘇𝗶𝗻𝗴 𝗔𝗕𝗠: 𝗛𝗼𝘄 𝘁𝗼 𝗧𝘂𝗿𝗻 𝗔𝗰𝗰𝗼𝘂𝗻𝘁 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 𝗶𝗻𝘁𝗼 𝗬𝗼𝘂𝗿 𝗗𝗮𝗶𝗹𝘆 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗻𝗴 𝗥𝗵𝘆𝘁𝗵𝗺 𝗶𝘀 𝗼𝘂𝘁 𝗻𝗼𝘄.

https://t.co/eepGCFrQz8

Pl read, like, and share!

[MarketScope USA @_marketscope]

𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗕𝗿𝗶𝗲𝗳 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝟮𝟭: 𝗔𝗹𝗶𝗴𝗻𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗚𝗧𝗠 𝗧𝗲𝗮𝗺𝘀 𝘁𝗼 𝗠𝗼𝘃𝗲 𝗮𝘀 𝗢𝗻𝗲 𝗥𝗲𝘃𝗲𝗻𝘂𝗲 𝗦𝘆𝘀𝘁𝗲𝗺 𝗶𝘀 𝗼𝘂𝘁 𝗻𝗼𝘄.

https://t.co/5By4EOi4Y2

Please read, like, and comment on the post. #gtm #GTM #Atlas #GTMAtlas

[GTMAtlas @gtmatlas]

Our latest article, 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗕𝗿𝗶𝗲𝗳 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝟮𝟮: 𝗤𝘂𝗮𝗹𝗶𝗳𝘆𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀 𝗕𝗲𝗳𝗼𝗿𝗲 𝗧𝗵𝗲𝘆 𝗤𝘂𝗮𝗹𝗶𝗳𝘆 𝘁𝗵𝗲 𝗟𝗲𝗮𝗱, is out now.

https://t.co/LuwCCezu1P

Please read, like, and comment on the post.

[MarketScope USA @_marketscope]

𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲 𝗕𝗿𝗶𝗲𝗳 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝟮𝟮: 𝗤𝘂𝗮𝗹𝗶𝗳𝘆𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗖𝗮𝗺𝗽𝗮𝗶𝗴𝗻𝘀 𝗕𝗲𝗳𝗼𝗿𝗲 𝗧𝗵𝗲𝘆 𝗤𝘂𝗮𝗹𝗶𝗳𝘆 𝘁𝗵𝗲 𝗟𝗲𝗮𝗱 is out now.

https://t.co/w0UPkjF61H

Please read, like, and comment on the post.

#gtm #GTM #go

[Global Big Data Conference @bigdataconf]

Another group of OpenAI agents reached the open internet without OpenAI’s knowledge. https://t.co/DSLsnIsKy6 #AI, #DataScientist, #Developer, #MachineLearning, #Deeplearning, #software, #Genai, #ML, #agenticai, #llm, #MCP, #RAG, #LLm

[The Associated Press @AP]

President Donald Trump and Venezuela’s interim authorities are promising prosperity, investment and an influx of money after a sweeping oil deal. But many Venezuelans enduring frequent blackouts told AP they cannot take it anymore.

[a16z @a16z]

>be dr. fei-fei li
>born in beijing, raised in chengdu
>dad moves to new jersey, follow at age 16
>speak almost no english
>parents open a dry cleaner
>work the counter on weekends
>get into princeton on a full scholarship
>study physics, because why not
>caltech phd
>everyone in AI is obsessed with algorithms
>bet on data instead
>"this will never scale" they say
>do it anyway
>get 14 million images hand-labeled
>a team from toronto trains a convnet on it in 2012
>error rate falls off a cliff
>deep learning era begins
>become stanford professor
>become google cloud chief scientist
>found stanford HAI
>press starts calling you the godmother of AI
>2024, most of the field is racing on language
>you say the next frontier is spatial intelligence
>co-found World Labs in 2024
>ship Atlas in 2026, a model that turns a few photos into a whole 3D world

[Paul Graham @paulg]

Legora's revenue has increased by over 9x from this time a year ago. That's an astounding growth rate for a company of this size. It's not unusual for a startup to grow that fast in the first 6 months, but Legora is 3 years in.

[The Wall Street Journal @WSJ]

Moonshot AI CEO Yang Zhilin surprised some of his Carnegie Mellon professors by choosing to return to China. Now, his Beijing-based startup’s latest private funding round values it at $50 billion. https://t.co/f7Aawzes2v

[MarketScope USA @_marketscope]

@rajatsuri If you rope him @Schwarzenegger in.

[Arnold Schwarzenegger @Schwarzenegger]

I turn 79 today. 

I don’t want any gifts. Instead, my team and I decided to revolutionize the fitness industry — and we’re doing something crazy to celebrate.

Here it is: https://t.co/qL6ECpWWYH

Between today and Sunday, August 9, when you join the Pump Club app and complete four workout programs in your first year, you pay nothing. 

Zero. Nada. Zilch. 

No fine print. If you show up and do the work, your first year is free. The payments are automatically sent back to your card. 

If that feels shocking, then let me say it even more plainly. 

Sign up for the app through that link. Try it free for 7 days. After your trial, pay $100 for your first year. Complete four workout programs. Get $100 back automatically: $50 after your first, and $50 after your fourth.

[Yasser @yasser_elsaid_]

If you're a startup founder, please connect google ads, meta ads, smartlead, apollo, chatbase (if you use it), attio (or your crm) to claude/codex through cli/api (not mcp).

Make each of those tools a folder inside one main repo. Start a session inside each one or in the parent repo if you want them to talk to each other.

Have your agent write code so that when you ask for a "pulse" it fetches all data from all the platforms and tells you what's good, what's not and what you need to fix.

BUT make sure to fully understand the data and don't say yes to every recommendation from LLMs, LLMs are still not good at considering other variables they dont see, not good at correlation/causation, and jump to conclusions too quickly.

This setup is amazing for your to actually understand your business, what your customers want and what the market responds to and be able to run a big part of your gtm conversationally.