[hawtads]

Google ads are the cheapest yes, but depending on your audience they may not be looking on Google now.

For ChatGPT (and similar) you need to have a strong FAQ page and lots of content marketing to increase the likelihood of being the suggested answer when a user asks ChatGPT a relevant question (it's a highly probabilistic system, look up AEO/GEO).

CloudFlare for example offers an option to block AI scraping bots by default. If you are in the services business, this is the opposite of what you want because having AI crawlers scrape your site would drive traffic down the road when users ask a related question.

I would also suggest having accounts with major chatbot companies and enabling the "allow training on my conversations" option and then talk to it about your services. Ultimately you just want to get your brand into the training data corpus, and the rest is just basic machine learning statistics.

[dataviz1000]

Facebook ads were the cheapest for me ten years ago.

We were marketing a product that many people were happy to know existed. The dashboard gave us tools to really delve into demographics. Of all the ridiculous personal data Facebook collected, the best demographic filter was allowing me to narrow in on pages someone liked or interacted with. We were selling things related to cruising sailboats, and we could target an audience within 30 miles of Fort Lauderdale who also liked Sailing Magazine. Moreover, we could use a pixel so that only people who had also visited our website saw the ads.

Facebook had a policy of rewarding high-quality ad content. If people clicked the ad, or better yet left positive comments and discussion or shared, the price drastically decreased to fractions of a cent per impression and click-through. We were able to get ads shared a lot with people tagging other people about the product suggesting they might be interested in it. That was the holy grail for copy that we always strived for.

Of course, they got rid of all that. But at the time, it was a great way to target an audience based on third-party pages they liked, giving them ad content about products they were generally interested in—and products they were happy to know they could purchase because they had value.

Ads configuration is like gambling in Las Vegas, in that the easier the game, the worse the odds—like slot machines—and the more the player has to interact, like Blackjack, the better the payout. When done well with good configuration, we were getting 1000s of click-throughs for dollars. It was amazing.

The point is that Facebook rewarded ads that people positively interacted with, as it meant the quality of the news feed wasn't hurt by the ad.

There was a time when ads benefitted everyone, the buyer, the seller, and Facebook.

[pixl97]

>when ads benefitted everyone, the buyer, the seller, and Facebook

As others have stated in this thread, it's called the acquisition phase. Get people hooked, build the network, make it be the place that people have to be at.

After that comes the exploit phase where said network effects make it hard to leave. You can rake in billions (trillion?) of dollars this way. Who cares if it eventually kills the company, you've made more money than god at this point.

[samtp]

Google Search Ads are usually the most expensive on a CPC basis out of the big platforms, but usually the CPA is much lower (even though Bing Ads can often be better value). This is usually because of 2 reasons:

1. You can target a specific part of the funnel (informational -> purchase intent) in search ads. Targeting on social networks is more about overall user profiles rather than their immediate state of mind.

2. People going to a search engine expect to leave that search engine to go to another website. Whereas people on a social network expect to stay in that portal. So clicking on an ad then doing something after is a more natural flow (and better value for advertisers).