Data Analytics & AI Integration for Marketing Agencies
We connect your campaign data, fix your client reporting, and put AI to work where it actually helps.
ClarusIQ is a data analytics and AI integration partner for marketing agencies and in-house marketing teams who already run Google/Meta Ads, a CRM, and Power BI or spreadsheets, but still can't get a straight answer out of them before the next client call.
Enrolled member of the Microsoft AI Cloud Partner Program
Client performance report
Last 4 weeks vs. prior 4 weeks
Leads
4,895
+15%
Cost per lead
$38
-$4
Blended ROAS
4.2x
+0.6x
Leads per week
Week 12: 1,270 leads
Leads by channel
Share of 4,895 leads
AI-drafted summaryGrounded in this report's data
Leads are up 15% on the prior four weeks while cost per lead fell $4 to $38. Google Ads drove most of the lift; TikTok is the smallest channel and worth a creative test before more spend.
| Week 1 | 900 |
|---|---|
| Week 2 | 935 |
| Week 3 | 920 |
| Week 4 | 975 |
| Week 5 | 1010 |
| Week 6 | 1040 |
| Week 7 | 1085 |
| Week 8 | 1120 |
| Week 9 | 1180 |
| Week 10 | 1210 |
| Week 11 | 1235 |
| Week 12 | 1270 |
| Google Ads | 2056 |
|---|---|
| Meta | 1517 |
| 832 | |
| TikTok | 490 |
Clarity That Drives Intelligence
Clarus : clarity
Making complex information understandable, and removing the confusion between the two.
IQ : intelligence
Connecting information with business context to produce insight you can actually act on.
Making complex data clear, and making intelligence useful.
The problem isn't campaign data. It's what happens after the report.
Most agencies we talk to already have ad platform dashboards, exports, and a folder full of client spreadsheets. The reporting still isn't the problem.
The client's numbers and the platform's numbers get pulled up on the same call, and they disagree.
Nobody remembers why last month's ROAS changed, so the debate is about the number instead of the next move.
A dashboard exists, but someone still rebuilds the client deck in a spreadsheet every reporting cycle.
An AI pilot got built, but nobody trusts the attribution data underneath it enough to put it in front of a client.
“Analytics and AI have to work inside the agency, not just inside a client deck nobody trusts.”
Talk to us about your reporting02 · Foundation
Trust your data
Connect your systems, standardize your definitions, and stop reconciling reports by hand.
- Connect ad platforms, your CRM, and client spend data into one place
- Automate the pull-and-blend work behind every client report
- Establish one definition of spend, leads, and ROAS across every account
- Improve data models, validation, and reporting reliability
Before
After
Client performance report
Sample dataBlended ROAS
4.2x
+0.6x vs. last month
Cost per lead
$38
-$4 vs. last month
Client spend
$186K
+6.4% vs. last month
Spend by week
Last 8 weeks
03 · Reporting
Understand your business
Reporting built around the decisions you actually need to make. Not just what happened, but what deserves attention.
- Client and internal reporting built around the decisions campaigns actually turn on
- Power BI reports and semantic models that hold up when a client questions the numbers
- Investigate what changed, where a campaign or funnel is leaking, and what's driving it
04 · Applied AI
Put intelligence to work
AI applied to real, recurring tasks, grounded in your actual, trusted data. Not AI for its own sake.
Account teams ask questions of approved campaign and client data
Grounded performance summaries drafted for client-ready reporting
Recurring reporting steps automated, with appropriate controls
“We evaluate every AI use case against one test: does it measurably improve a defined task. If it doesn't, we say so.”
Talk about your use caseWho this is for
Built for marketing organizations running on scattered platforms.
Not every agency or marketing team has this problem the same way. This approach tends to help most where campaign, spend, and client data are spread across systems that were never designed to talk to each other.
Performance marketing agencies
Campaign, spend, and conversion data spread across ad platforms and a CRM that never quite agrees with the numbers in the client deck.
Full-service & creative agencies
Multiple client accounts, each with its own reporting format, stitched together by hand every month across spreadsheets and exports.
In-house marketing & growth teams
Marketing, sales, and revenue data living in separate systems, with reporting that answers 'what happened' but rarely 'what should we do next.'
Multi-location & franchise marketing
The same campaign structure run across many locations or brands, with performance data that's hard to compare apples-to-apples.
Marketing ops at B2B SaaS
Pipeline and attribution data split across ad platforms, CRM, and product analytics, with no single source everyone trusts.
Why ClarusIQ
Built by someone who's done this at scale, now doing it for you directly.
Every engagement gets direct access to the person actually doing the analysis, backed by hands-on experience across the Microsoft ecosystem: consolidating fragmented data pipelines, automating large-scale Power BI reporting, and integrating AI into real marketing analytics workflows.
- Starts with your existing Microsoft stack, not a rip-and-replace pitch.
- One person owns data engineering, BI, and applied AI end to end, no finger-pointing between vendors.
- AI is evaluated against one test, does it measurably improve a defined task, before it's ever proposed.
How it works
A low-risk way to start.
01
Diagnose
A scoped Reporting Diagnostic looks at where your current metrics disagree and why, with a defined deliverable regardless of what happens next.
02
Recommend
A short, written recommendation for what fixing the foundation, or building the report you actually need, would involve.
03
Implement
If it makes sense to continue, the work proceeds in scoped stages, never a platform overhaul you didn't ask for.
Let's find out what your data is actually telling you.
A short conversation is enough to know if there's a real fit.
Book a Reporting Diagnostic