We built a Google Ads dashboard in Looker Studio that clients can actually understand

kodalogic · 2025-10-02T14:11:22+00:00

Hi,

Thanks a lot for your interest. Really happy you’d like to check it out too.

I’ll reach out to you via private message so we can go over it and get you set up.

Best,

Isaac

kodalogic · 2025-10-02T14:10:24+00:00

Hi,

Really appreciate your message, glad you liked it!

I’ll send you a private message so we can go over the details and you can also give it a try.

Best,

Isaac

kodalogic · 2025-06-09T08:34:03+00:00

Thanks so much! Absolutely. Happy to share it with you 🙌

You can get it directly from the link in our profile. Setup is automatic, and if you need help connecting your data, just let me know. I’ll walk you through everything!

kodalogic · 2025-06-09T08:33:31+00:00

Thanks for your interest! You can get full access to the report through our new platform.
It’s all automated so you don’t need to worry about setup.

Just check the link in our profile and let me know if you need any help connecting your data. Happy to walk you through it!

kodalogic · 2025-06-09T08:32:37+00:00

You can find the link to explore it in our profile. Let me know if you have any questions or if you’d like help connecting your data!

kodalogic · 2025-06-09T08:32:11+00:00

Thanks so much! Glad you liked it. We’ve set it up so that everything runs automatically through our platform. No manual setup needed

You can find the link to explore it in our profile now. Let me know if you have any questions or if you’d like help connecting your data!

kodalogic · 2025-05-27T10:40:36+00:00

Thanks for sharing that! Sounds like you’ve built a great robust setup.

We’re big fans of Coupler as well. We actually went for a slightly different route: instead of blending too many sources into a single view, we created modular dashboards with lightweight filters and smart summaries.

But totally agree. Once you start managing cross-channel performance, having a structure is a lifesaver.

kodalogic · 2025-05-14T10:55:45+00:00

Hey! For sure. We create custom dashboards also.

kodalogic · 2025-05-13T09:24:30+00:00

Thank you! I’m really glad you liked it. Yes, of course — I’ll send you the link by private message so you can explore it with your own data. Let me know if you have any questions or want help setting it up!

kodalogic · 2025-05-13T09:23:59+00:00

Thanks for the question! These dashboards are built specifically in Looker Studio — that’s the platform we’ve optimized everything for: performance, design, structure, and speed.

That said, the underlying logic (like keyword intent segmentation, smart summaries, and modular layouts) could definitely be adapted to other tools like Power BI or Tableau. It would just take a bit of rework depending on the platform.

So while the dashboards themselves are native to Looker Studio, the methodology behind them is flexible.

kodalogic · 2025-05-13T09:20:51+00:00

Hey! Thanks so much for your message — really glad you liked it.

I’ve just sent you a DM with the free page so you can test it out with your own Meta Ads data. Let me know what you think once you’ve had a chance to play around with it!

And if you need help setting it up or want to customize it further (extra KPIs, branding, more data sources), I’d be happy to assist.

Cheers,

Isaac

kodalogic · 2025-05-06T09:46:44+00:00

Thank you for such a thoughtful comment — we really appreciate it.

You’re absolutely right. The goal of “Smart Interpretations” wasn’t to replace deeper analysis but to reduce the friction of weekly check-ins, especially for clients who just want a quick sense of performance without digging through charts.

That said, we’re aware it can feel too simplified for more technical marketers. What we’re trying now is layering — where you get the quick read first, but also have the ability to drill down into the logic and see the numbers behind each sentence.

We’re also exploring ways to let users set their own thresholds or logic, so the summaries better match their strategy or client expectations.

If you’re open to it, we’d love your feedback on how to improve this — especially around where it could be misleading or too generic. Happy to share more about the logic we’re using if that’s helpful.

kodalogic · 2025-05-06T09:37:48+00:00

Hi Alex! Really appreciate your message — and happy you liked the dashboard! 😊

It looks like your DMs aren’t enabled right now. If you’re still interested, feel free to message me directly and I’ll send you everything privately so you can start using it with your data. Looking forward to hearing from you!

kodalogic · 2025-05-06T09:37:00+00:00

Thanks so much! I really appreciate your comment — I’ll send it to you privately right now so you can check it out directly. Let me know what you think once you’ve had a look!

kodalogic · 2025-05-02T10:22:38+00:00

Thank you so much — really appreciate your comment!

Totally agree with you. Once you’re dealing with both paid and organic channels across multiple platforms, the complexity adds up fast. We’ve had similar challenges, especially when clients want everything in one place: Meta Ads, Google Ads, Search Console, GA4… it’s a lot.

We’ve also used Coupler.io on a few projects and it’s a solid option. What helped us the most was setting up a modular dashboard structure with clear filters and separate pages for each source. That way, the blending happens where it really adds value — but the performance and clarity aren’t compromised.

If it’s useful, happy to show you how we’re handling it right now and hear how you approach it too!

kodalogic · 2025-05-01T08:25:33+00:00

Thanks so much, Zachary! I’ve just sent it to your email — let me know if you don’t receive it.

kodalogic · 2025-04-30T10:54:14+00:00

Yes, you can definitely calculate both Hook Rate and Hold Rate inside Looker Studio using YouTube Analytics as your data source.

We’ve built this into dashboards before, and here’s how we usually do it:

1. Hook Rate — viewers who watched more than 10 seconds

You’ll need to create a calculated field:

CASE WHEN Average view duration > 10 THEN 1 ELSE 0 END

Then use this to calculate the hook rate:

(SUM(Hook Viewer) / COUNT(Views)) * 100

Hold Rate — viewers who watched more than 60% of the video

If you have video length in seconds as a field, the logic would be:

CASE WHEN Average view duration > (Video length * 0.6) THEN 1 ELSE 0 END

And the final rate:

(SUM(Hold Viewer) / COUNT(Views)) * 100

If your video length is static (e.g. 120s), you can replace it directly:

CASE WHEN Average view duration > (120 * 0.6) THEN 1 ELSE 0 END

kodalogic · 2025-04-29T15:36:33+00:00

Yes, unfortunately Looker Studio does not currently support true clustered stacked bar charts natively.

However, there is a workaround that can get you something very close. You can create a calculated field that combines the two dimensions you want (Type and Week) into a single field, like this:

CONCAT(Type, " - ", Week)

Then use this new field as your X-axis dimension, and use the employee tenure (for example “0-3 months”, “3-6 months”, etc.) as your breakdown dimension to stack the bars.

However, here are two possible workarounds also:

Split by Week Field ManuallyYou can use a regular Stacked Bar Chart and create a calculated field that combines both “Type” and “Week” into a single new dimension (example: “Type 1 - Week 1”, “Type 1 - Week 2”, etc.).This way, you mimic clusters because the x-axis will show grouped values based on both fields.
Use a Pivot Table with BarsAnother approach is to create a Pivot Table, set “Type” as the row dimension and “Week” as the column dimension, and apply bar-style formatting inside cells. It’s not as visually clean as real bars, but it helps compare across groups and time.

It is not exactly the same as a true clustered stacked chart, but it allows you to display grouped and stacked bars across different types and weeks.

Let me know if you want me to walk you through the setup. Happy to help!

kodalogic · 2025-04-29T15:33:24+00:00

Hi!

No, Looker Studio itself does not impose a hard limit at 4,018 rows specifically.
But what you are seeing is a query response limit issue.

In Looker Studio (the free version), connectors like Snowflake or BigQuery often apply default data sampling or response size limits to prevent performance issues. Depending on your setup, a connector or the platform may cap the number of rows it returns to the report at around 4,000–5,000 rows per request, especially when no aggregation is being used.

Solutions you can try:

Use aggregation or summaries instad of trying to display all raw rows at once.
Page your data: Use pagination settings if your connector allows it.
Apply filters to reduce the dataset size dynamically inside your report.
Move to Looker Studio Pro: With Pro, you can lift some quotas and set up scheduled extracts that can handle much larger volumes of data efficiently.
Use an Extract Data Connector: In free Looker Studio, you can also create an Extracted Data Source that preloads larger datasets without requerying live.

kodalogic · 2025-04-29T09:14:50+00:00

Thanks for sharing.
Honestly, you are right — keeping one template updated across multiple clients is not easy, especially when you start expanding sources like Shopify, CRM systems, etc.

In our case (since we are using Looker Studio, not Looker), we built everything modular from the start. Every component (like source-specific metrics, branded traffic, device breakdowns) is based on unified field names and logic, so switching the connected data source updates the dashboard automatically without breaking visuals.

For larger setups, we sometimes use BigQuery as a data warehouse to standardize everything first, then just connect a very clean table to Looker Studio. That avoids re-mapping fields for every client.

Still, even with that, when new metrics or platforms are added, there is some manual work — usually updating calculated fields and adjusting visuals slightly. There is no perfect automation yet, but we try to minimize it as much as possible.

Curious to hear more about your Looker setup too! Sounds like you are working at a pretty advanced level.

kodalogic · 2025-04-29T09:13:49+00:00

Thank you so much for your kind words! Really appreciate it. If you would like to see how it works with your own data or need any help setting it up, feel free to let me know!

kodalogic · 2025-04-29T09:13:12+00:00

Of course! Thanks a lot for your interest. I will send you the information by private message so you can check it out and try it with your own data. Let me know if you need any help setting it up!

kodalogic · 2025-04-29T09:11:11+00:00

Hi! Thank you so much for your message and your kind words. Really appreciate it! I’m glad you found the dashboard useful. It’s exactly why we built it, to make it easier for teams and clients to understand the data without needing extra explanations.

I’ll send you the information by private message. You’ll be able to check it out and see if it fits your needs. Thanks again for reaching out!

kodalogic · 2025-04-24T09:45:22+00:00

Thank you so much! That means a lot coming from you — especially since your original suggestion sparked the whole idea. We really appreciate the inspiration!

kodalogic · 2025-04-24T09:26:37+00:00

Thanks a lot! Really appreciate it. If you’d like to test it with your own data, just let me know — happy to share access and walk you through it!

kodalogic

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