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: 58

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

pnpm 11 Release Candidate: ESM Distribution, Supply Chain Defaults and a New Store Format

pnpm 11 RC has been released, featuring significant changes in performance, security, and configuration. Key updates include an SQLite-backed store index, tighter security defaults, and a consolidated build script setting. It now requires Node.js v22 or later. Global installs are isolated by default, and new commands enhance usability. Migration guidance is available in the documentation.

By Daniel Curtis

Anthropic Introduces Managed Agents to Simplify AI Agent Deployment

Anthropic introduces Managed Agents on Claude, a managed execution layer for agent-based workflows. It separates agent logic from runtime concerns like orchestration, sandboxing, state management, and credentials. The system supports long-running multi-step workflows with external tools, error recovery, and session continuity via a meta-harness architecture.

By Leela Kumili

Slack Rebuilds Notification System, Reports 5X Increase in Settings Engagement

Slack has rebuilt its notification system with a unified architecture that separates activity from delivery, improving consistency across platforms. The redesign simplifies preferences, preserves legacy settings through transformation, and resulted in a 5x increase in user engagement with notification settings along with reduced support tickets.

By Leela Kumili

GitHub Acknowledges Recent Outages, Cites Scaling Challenges and Architectural Weaknesses

GitHub has publicly addressed a series of recent availability and performance issues that disrupted services across its platform, attributing the incidents to rapid growth, architectural coupling, and limitations in handling system load.

By Craig Risi

Presentation: Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash

Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional deep learning handles last-mile ranking. This hybrid approach allows the platform to adapt to short-lived user intent and massive catalog abundance.

By Sudeep Das, Pradeep Muthukrishnan

© 2026   Created by Michael Levin.   Powered by

Badges  |  Report an Issue  |  Terms of Service