The three-campaign Google framework

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In Partnership with Tatari

Forward 2026: A Forum for the Future of TV Advertising on Oct. 29, NYC

Paid social is getting harder to scale, while creator discovery and AI are changing how customers find brands.

If you keep relying on the same digital playbook, your acquisition costs can rise before your team finds the next reliable growth channel.

On October 29 in New York City, Forward by Tatari puts you in the room with leaders already adapting.

• Hear Reddit CEO and co-founder Steve Huffman share how one of the internet’s biggest communities thinks about discovery, followed by an open Q&A.
• See how Cody Plofker and leaders from Liquid I.V., MANSCAPED, Thorne, and Avocado Green Brands are approaching customer acquisition and full-funnel growth.
• Learn how brands use TV to produce measurable growth beyond crowded digital channels.

Bring your toughest growth question for a chance to have it answered by Reddit’s CEO or the marketer who helped take Jones Road to nine figures.

Attendance is free, but in-person space is limited. 

🎯 Build a Smarter Google Ads Account That Actually Scales

Most Google accounts plateau not because demand runs out, but because they are built only to harvest demand that already exists, never to find more. Here is how top agencies structure their accounts to keep scaling.

The Three Campaign Framework:

1️⃣ Defend Your Brand
Run a capped brand campaign using a portfolio bid strategy with a max cost per click. This keeps competitors from stealing clicks on your own name without wasting budget on non-brand terms.

2️⃣ Build Your Precision Campaign
Use exact match on your top converting search terms, organized into single themed ad groups. Match your landing pages to search intent so every click has a real chance to convert.

3️⃣ Let Your Scaling Campaign Discover
Seed broad match with terms that already work and prune the search terms report daily. This campaign feeds new converting terms into your precision campaign over time.

Shopping and Performance Max Tips:
Run standard shopping alongside Performance Max, structured as one ad group per product for better control over bids and search terms. Write feed titles using real search terms that already convert, since Google matches products based on your titles.

For Performance Max, break out spend by placement so display or YouTube is not quietly eating your budget. Keep every asset group at an excellent ad strength using extra image formats and headlines.

The Takeaway
Scaling on Google is not about spending more, it is about structuring accounts so every campaign has a clear job. Defend your brand, sharpen your precision campaign, let your scaling campaign explore, and keep a close eye on where Performance Max actually spends.

🤖 Fine-Tune 500+ Open Source Models for Free

Looking to fine-tune an open-source AI model without paying for expensive compute. Unsloth Studio makes it possible to fine-tune over 500 open-source models directly inside a free Google Colab notebook. You can even upload PDFs or CSVs and turn them into usable synthetic datasets, making the entire process accessible even if you are just getting started.

Steps to Fine-Tune a Model Using Unsloth Studio:

1️⃣ Open the Google Colab
Head over to the Unsloth Studio Google Colab notebook to get started. This notebook comes preconfigured, so you do not need to set anything up manually.

2️⃣ Install Unsloth Studio
Run the provided blocks to install Unsloth Studio inside your Colab environment. This sets up everything needed to begin fine-tuning right away.

3️⃣ Choose Your Model
Pick from over 500 available open-source models based on your specific use case. Unsloth Studio supports a wide range of model sizes and architectures.

4️⃣ Upload Your Dataset
Upload a PDF, CSV, or existing dataset, and Unsloth Studio will help turn it into a usable synthetic dataset for training. This removes much of the manual data preparation work.

5️⃣ Start Fine-Tuning
Once your model and dataset are ready, you are good to go. Unsloth Studio handles the fine-tuning process directly inside the free Colab environment.

The Takeaway
Unsloth Studio removes the biggest barriers to fine-tuning, cost and complexity, by running entirely inside a free Google Colab. Whether you are experimenting for fun or building something for real use, the ability to fine-tune, upload custom data, and export your finished model makes Unsloth Studio a powerful tool for anyone exploring open source AI. Give it a try and turn your own data into a fine-tuned model today.

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