Have you put up a website and tried some of the following simple, common monetization techniques? Let's talk case studies. Please give us some feedback as a comment, for starters.

 

1. What's your website about? Feel free to keep it anonymous.

2. Do you charge for advertising? How do you go about marketing, rates and ad placement (framework)? For example, do you tell potential advertisers your visit volume? What's your success been? What's worked best and worst?

3. How about Google Adsense and Adwords? Have you used them and what has your experience been?

4. How do you go about implementing Search Engine Optimization and what has your experience been?

5. Do you have an online store? Are you a reseller or a source of products? Do you use a framework or component for your store/cart/checkout?

6. What's your endgame strategy? Do you plan an exit? Do you have a monetization plan or did you just start the site with the intention of selling it at some point?

7. What are your feelings about putting up a custom site vs using the piggyback technique with a Facebook, etc?

8. Do you have other monetization approaches like membership fees, etc? What has your success been?

9. Please tell us some tips and lessons learned. Ask some questions. We're eager to learn from your experiences and give you feedback. These are just a few questions that came to mind. Feel free to tell us what you know.

10. Is your website a primary frontpiece for the startup or is it an extension of something else, perhaps a bricks and mortar business or a partnership?

 

That's a start!

 

 

Views: 55

Happy 10th year, JCertif!

Notes

Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
Continue

Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

Looking for Jobs or Staff?

Check out the Codetown Jobs group.

 

Enjoy the site? Support Codetown with your donation.



InfoQ Reading List

How Grab Optimizes Image Caching on Android with Time-Aware LRU

To improve image cache management in their Android app, Grab engineers transitioned from a Least Recently Used (LRU) cache to a Time-Aware Least Recently Used (TLRU) cache, enabling them to reclaim storage more effectively without degrading user experience or increasing server costs.

By Sergio De Simone

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses on improving how models update beliefs as they receive new information during multi-step interactions.

By Daniel Dominguez

Cloudflare Introduces Support for ASPA, an Emerging Internet Routing Security Standard

Cloudflare recently announced support for ASPA (Autonomous System Provider Authorization). The new cryptographic standard helps make Internet routing safer by verifying the path data takes across networks to reach its destination and preventing traffic from traversing unreliable or untrusted networks.

By Renato Losio

DoorDash Builds LLM Conversation Simulator to Test Customer Support Chatbots at Scale

DoorDash engineers built a simulation and evaluation flywheel to test large language model customer support chatbots at scale. The system generates multi-turn synthetic conversations using historical transcripts and backend mocks, evaluates outcomes with an LLM-as-judge framework, and enables rapid iteration on prompts, context, and system design before production deployment.

By Leela Kumili

Netflix Uncovers Kernel-Level Bottlenecks While Scaling Containers on Modern CPUs

Engineers at Netflix have uncovered deep performance bottlenecks in container scaling that trace not to Kubernetes or containerd alone, but into the CPU architecture and Linux kernel itself.

By Craig Risi

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service