Reporting is solved. Decision making is not: why your next tool should not be just a dashboard

Neeraj Kushwaha

Most performance marketers we talk to are not short on dashboards.
Meta, Google, GA, MMPs, BI tools, internal sheets – the average fintech team already has more views of their funnel than they can comfortably scan in a day.
Yet when we sit in on their weekly reviews, the same scene plays out:
three different reports show three different numbers
half the meeting goes into agreeing on “what actually happened”
the last ten minutes are used to decide what to change, usually based on gut feel and shortcuts
Reporting is not the problem anymore. Decision making is.
Where dashboards hit their limit
Traditional tools are great at one thing: showing you data.
They answer questions like:
“How many leads did we get?”
“What was our ROAS last week?”
“Which campaign had the most spend?”
What they do not do is pick the 3 actions that really matter this week.
In fintech, where your real goal is to get good loans out the door at a healthy unit cost, that gap is painful. You know there is waste in the system. You know some campaigns are quietly dragging down the book. You just do not have the hours to hunt everything down by hand every week.
How we started thinking beyond reports
When we built Thirdi, we made a simple promise to ourselves: reporting would be the baseline, not the pitch.
Yes, we still pull your Meta and Google data into one place. Yes, we still build clean views and reusable reports. But the question we wake up with each day is:
“If someone opens our product for 10 minutes on a Monday, can we tell them exactly what to change before they close the tab?”
That is where the agents come in.
They:
watch your spend 24/7
connect platform metrics with CRM truth
surface clear calls like:
“these creatives are money pits, cut them”
“these segments are hidden gems, give them more budget”
“this campaign looks fine in Meta but breaks at dispersals, treat with caution”
The output is not another chart. It is a to-do list.
What this feels like for a busy team
For the USD 100k a month fintech team we worked with, this shift changed their week.
Instead of:
spending the first hour of every day exporting and reconciling
drowning in tabs
ending meetings with “let us watch for another week”
they now:
spend a few minutes skimming the agent’s calls
sanity check them against what they know from the ground
make 3–5 clear changes and move on
All the dashboards are still there in the background. They are just no longer the main interface.
We are biased, but we think this is where serious performance marketing is heading. Not “more data,” but better prompts: this is what changed, this is what you should fix first.
Most performance marketers we talk to are not short on dashboards.
Meta, Google, GA, MMPs, BI tools, internal sheets – the average fintech team already has more views of their funnel than they can comfortably scan in a day.
Yet when we sit in on their weekly reviews, the same scene plays out:
three different reports show three different numbers
half the meeting goes into agreeing on “what actually happened”
the last ten minutes are used to decide what to change, usually based on gut feel and shortcuts
Reporting is not the problem anymore. Decision making is.
Where dashboards hit their limit
Traditional tools are great at one thing: showing you data.
They answer questions like:
“How many leads did we get?”
“What was our ROAS last week?”
“Which campaign had the most spend?”
What they do not do is pick the 3 actions that really matter this week.
In fintech, where your real goal is to get good loans out the door at a healthy unit cost, that gap is painful. You know there is waste in the system. You know some campaigns are quietly dragging down the book. You just do not have the hours to hunt everything down by hand every week.
How we started thinking beyond reports
When we built Thirdi, we made a simple promise to ourselves: reporting would be the baseline, not the pitch.
Yes, we still pull your Meta and Google data into one place. Yes, we still build clean views and reusable reports. But the question we wake up with each day is:
“If someone opens our product for 10 minutes on a Monday, can we tell them exactly what to change before they close the tab?”
That is where the agents come in.
They:
watch your spend 24/7
connect platform metrics with CRM truth
surface clear calls like:
“these creatives are money pits, cut them”
“these segments are hidden gems, give them more budget”
“this campaign looks fine in Meta but breaks at dispersals, treat with caution”
The output is not another chart. It is a to-do list.
What this feels like for a busy team
For the USD 100k a month fintech team we worked with, this shift changed their week.
Instead of:
spending the first hour of every day exporting and reconciling
drowning in tabs
ending meetings with “let us watch for another week”
they now:
spend a few minutes skimming the agent’s calls
sanity check them against what they know from the ground
make 3–5 clear changes and move on
All the dashboards are still there in the background. They are just no longer the main interface.
We are biased, but we think this is where serious performance marketing is heading. Not “more data,” but better prompts: this is what changed, this is what you should fix first.
Read more

SEO
Most AI content does not rank (here is the real problem)
The core issue with most AI-generated marketing content is that it is created without real search data, leading to a high volume of URLs that receive almost no organic impressions because they fail to match modern user intent and search behavior. The breaking traditional SEO model of picking a broad keyword and writing a long post is ineffective now that users ask complex questions and often get answers directly in the SERP, requiring content to be grouped by specific intent rather than a single keyword. The proposed fix is a three-step workflow that flips the order: a) map real search demand using data tools; b) design a content map grouped by intent; and only then, c) bring in AI to draft within sharp, data-driven guardrails, turning AI into a fast worker rather than a flawed strategist.

Neeraj Kushwaha
Mar 30, 2026

compare
Third i vs Funnel.io: Data Pipeline vs Action Intelligence
Evaluating Funnel.io or looking for an alternative? Funnel.io is a marketing data hub that connects 600+ sources, normalizes your data, and pipes it into your BI tool, data warehouse, or reporting layer. It collects and cleans your data. Third i is an AI action platform that tells you what to do with your data. It connects Meta, TikTok, Google Ads, LinkedIn Ads, and GA4 and delivers a prioritized Action Feed ranking the most impactful changes you can make today. Flat $199 per month. No Flexpoints. No annual minimums.

Vishal Singh
Apr 3, 2026

compare
Third i vs Northbeam: Attribution Measurement vs Action Intelligence
Evaluating Northbeam or looking for a Northbeam alternative? Northbeam is a multi-touch attribution and media mix modeling platform built for mid-size to enterprise DTC and ecommerce brands spending over $50K per month on ads. It helps you understand how credit should be distributed across your marketing touchpoints. Third i is an AI action platform for performance marketing agencies. It connects Meta, TikTok, Google Ads, LinkedIn Ads, and GA4 and delivers a prioritized Action Feed telling you what to fix today, ranked by expected business impact. Flat $199 per month. No attribution modeling required.

Vishal Singh
Apr 1, 2026

SEO
Most AI content does not rank (here is the real problem)
The core issue with most AI-generated marketing content is that it is created without real search data, leading to a high volume of URLs that receive almost no organic impressions because they fail to match modern user intent and search behavior. The breaking traditional SEO model of picking a broad keyword and writing a long post is ineffective now that users ask complex questions and often get answers directly in the SERP, requiring content to be grouped by specific intent rather than a single keyword. The proposed fix is a three-step workflow that flips the order: a) map real search demand using data tools; b) design a content map grouped by intent; and only then, c) bring in AI to draft within sharp, data-driven guardrails, turning AI into a fast worker rather than a flawed strategist.

Neeraj Kushwaha
Mar 30, 2026

compare
Third i vs Funnel.io: Data Pipeline vs Action Intelligence
Evaluating Funnel.io or looking for an alternative? Funnel.io is a marketing data hub that connects 600+ sources, normalizes your data, and pipes it into your BI tool, data warehouse, or reporting layer. It collects and cleans your data. Third i is an AI action platform that tells you what to do with your data. It connects Meta, TikTok, Google Ads, LinkedIn Ads, and GA4 and delivers a prioritized Action Feed ranking the most impactful changes you can make today. Flat $199 per month. No Flexpoints. No annual minimums.

Vishal Singh
Apr 3, 2026