The First Numbers Are Coming In
Want to back the stream? The «داعم» membership on YouTube is EGP 60 a month: badges, emoji, and I answer your questions first on stream. Become a supporter
The gist
The stream documents preparations for a Shopify app intended to improve merchants’ product visibility in AI answers, with practical work on help-center-grounded support, onboarding emails, scan-flow clarity, progress states, and pre-merge review. Much of the session focuses on launch readiness: developing static and video ads with tools such as Codex, Remotion, and Higgsfield, then using audience feedback to prevent the creative from being mistaken for a shoe ad and to explain AEO within seconds. Luqman discusses testing multiple angles and formats across Meta and Shopify rather than predicting CTR, CPC, or CPI without data; comparing a direct-install link with a scan-and-email funnel; and using predefined success criteria and a unified analytics dashboard. Ad underdelivery, attribution, incomplete data integrations, target-market selection, pricing, and campaign structure remain unresolved or subject to testing. Other discussions cover reaching Gmail’s Primary tab, the ethics of reviews and UGC, avoiding unsupported marketing promises, and personal—not benchmarked—comparisons of AI tools. Audience questions also explore learning programming and marketing through practice, repository-level specialist agents, changing software roles, and building skills or projects with limited resources. No launch success is claimed: the session is presented as an evolving work record whose market results will require weeks of measurement.
171 moments from the stream
- 7:01:00
Practical Tips for Improving English
Responding to a learner who felt stuck at B1, he suggested using Duolingo for its game-like format and watching English-language drama or shows.
- 7:05:22
Prepared Meals as a Time-Saving Option
The discussion suggests meal preparation or services that provide ready-made meals, including protein-focused options, as a practical way to reduce time spent arranging food.
- 7:05:43
How to Use AI to Learn Marketing
Answering a question about learning marketing, Luqman suggests giving an AI tool clear context about your current situation, what you want to learn, why you want to learn it, and your goal so it can guide the learning path. He distinguishes learning through the tool from treating it as a substitute for learning itself.
- 7:15:38
Time and Fit in Email Marketing
Email marketing setup was described as time-consuming. Specialized services may help, but the speaker felt that this approach did not suit their niche.
- 7:18:40
Creatives Matter More Than Campaign Structure
While planning a campaign launch, the choice between ABO and CBO remained undecided. The speaker's view was that the creatives matter most and the campaign setup itself is comparatively straightforward.
- 7:21:23
Flagging an Image Rendering Bug
The review identified a bug preventing images from rendering, including the A, B, and C direction images, which had initially been assumed to be mockups.
- 7:26:20
Decision-Making Can Become an Execution Bottleneck
The speaker attributes slow progress more to his own decisions than to AI tools, suggesting that experience can reduce overthinking and encourage faster market entry.
- 7:27:26
Preparing Multiple Ads and Growth Channels
The speaker discusses focusing the next phase on ads, organic reach, and traffic, potentially trying growth tactics, keeping more than one promising ad variant, and requesting relevant best practices and specifications.
- 7:31:42
Why Organic Reach Can Feel Harder
The speaker argues that organic growth is difficult and time-consuming, while paid acquisition offers a different path that depends on available capital.
- 7:32:22
Tuning an Overly Aggressive Chat Bot
The speaker notices that the chat bot is treating ordinary messages too aggressively, apologizes, and says he plans to adjust its settings later.
- 7:36:28
A Conditional Promise to Share Campaign and Research Details
At the end of the stream, the speaker promises that if success is achieved, he will transparently explain how the marketing campaigns and research were conducted, without claiming those results have already occurred.
Got a question about something in this stream?
Ask in the group