AI and what marketing means when AI helps

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-explorers-business-AI-and-what-marketing-means-when-AI-helps-r10a7

1. What is marketing?

   1. Making a product in a factory
   2. How a business tells the world it exists and why people should care
   3. Setting the price for a product
   4. Shipping packages to customers

2. Before AI helped with marketing, how did companies usually advertise on TV?

   1. They showed different ads to different people based on what they liked
   2. They made one commercial and showed it to everyone, regardless of who they were
   3. They asked everyone what they wanted to see and made that
   4. TV didn't have ads before AI

3. A kid who watches lots of skateboarding videos sees ads for skateboards. A kid who watches cooking videos sees ads for baking kits. This is called:

   1. Fair advertising
   2. Personalization — showing different people different ads based on their interests
   3. Spying
   4. A coincidence

4. What does AI use to decide which ad to show you?

   1. Your school grades
   2. What you clicked on, searched for, watched, and where you live
   3. What your parents bought last year
   4. A random lottery

5. What is A/B testing in marketing?

   1. Testing two different products to see which one tastes better
   2. Showing two versions of an ad and automatically using whichever one more people respond to
   3. A school test about advertising
   4. Making two commercials and letting customers vote

6. AI tests two 'Buy Now' buttons — one green, one blue. The green gets more clicks. What does AI do next?

   1. Shows both colors equally forever
   2. Automatically switches everyone to the green button
   3. Asks customers which color they prefer
   4. Removes the button entirely

7. Even though AI designs ads to feel natural and easy to click, what do YOU still control?

   1. Which company gets to show you ads
   2. Whether you actually click and whether you decide to buy
   3. How much the product costs
   4. Which platform shows the ad

8. Why does a company test MILLIONS of tiny experiments with different photos, words, and button colors?

   1. To keep AI busy so it doesn't get bored
   2. To find which combinations make the most people click — using data instead of guessing
   3. To confuse customers into clicking by accident
   4. All ad details are equally important, so order doesn't matter

9. What does 'targeting' mean in advertising?

   1. Aiming ads at random people
   2. Showing ads specifically to people who are most likely to be interested
   3. Targeting refers to the goal of selling products
   4. Creating a target design for the ad

10. Why is noticing which ads you see and guessing WHY you're seeing them a useful skill?

    1. It helps you buy more things
    2. It builds media literacy — understanding how AI shapes what you see online
    3. It helps companies improve their ads
    4. It's just for fun, with no real benefit

11. An ad for a brand new product appears for a kid who has never searched for or clicked on anything related to it. How might this happen?

    1. It's definitely a mistake
    2. AI might have predicted the interest based on other related things the kid does — like similar age groups or related interests
    3. AI always shows the same ads to all kids
    4. The ad is from a company that doesn't use AI

12. Two friends look at the same website. They see different ads. Why?

    1. The website has a bug
    2. AI personalizes ads based on each person's unique browsing history and interests
    3. One friend has a newer phone
    4. Different locations see different prices

13. What did AI change about how companies know if their ads work?

    1. Companies now guess less — AI tracks clicks and data in real time to measure what's working
    2. Companies still mostly guess which ads work best
    3. AI made it harder to tell which ads are successful
    4. AI removed the need to measure ad performance at all

14. If a company's AI learns that a certain headline makes people 50% more likely to click, what does it do?

    1. Keeps testing to find a better headline, but doesn't act on the data
    2. Uses that headline in future ads to maximize clicks
    3. Reports the finding to a marketing meeting for a decision next quarter
    4. Deletes the other headlines to save space

15. An ad was 'engineered to make saying yes feel natural and easy.' What does this mean for you as a buyer?

    1. You should always click ads because they're engineered to be good
    2. It's worth pausing to think — the smooth feeling of wanting to click was designed intentionally
    3. Natural feeling means the product is definitely worth buying
    4. Engineers only build ads for products that are high quality