Most marketing reports aren't providing what you're actually looking for

Most marketing reports you review are just fragments—screenshots from 10 different platforms, stapled together at 11:47 p.m. the night before a client call. Clicks here, impressions there, a CSV nobody fully understands, and a paragraph of “insights” written by someone who’s barely awake.
And then we all act surprised when clients don’t see the value.
We’re working on a tool and a framework to fix that mess. Think of it as a unified reporting and storytelling system for agencies who are tired of defending invoices and want to get back to strategy.
This is the vision.
The Problem: Franken-Reporting
If you run a modern agency, your reporting probably looks something like this:
- Social lives in one tool
- Programmatic and display in another
- Search somewhere else
- Local listings and reviews in their own world
- Web analytics off in GA4 purgatory
Every vendor promises “great reporting.”
Individually, some of them even deliver.
Together? They create chaos.
The result:
- Disjointed client experience – Every month you’re explaining a new interface, a new metric, a new acronym.
- Defensive posture – You spend half the call justifying line items instead of talking about what to do next.
- Internal burnout – Your team is stuck screenshotting dashboards and manually writing recaps that sound the same every time.
AI doesn’t magically fix this. If you throw an LLM at a pile of bad, fragmented inputs, you just get expensive gibberish faster.
So the vision starts with a hard constraint:
No AI “magic” until the data and the story are structurally sound.
What About All the Existing Reporting Tools?
You might be thinking, “Don’t a dozen tools already do this?”
Kind of—but not really.
There are plenty of multi-channel dashboards and “all-in-one” agency reporting platforms. They’re great at pulling numbers into one place and auto-emailing a PDF. Where they usually fall down is exactly where agencies feel the pain:
- They’re vendor-first, not agency-first.
Reporting is shaped around whichever platform sells you the media, not around the story you actually need to tell your client. - They stop at charts, not a clear narrative.
You still end up writing the real story manually: what mattered, what didn’t, what changed, and what you’re doing next. - They don’t handle the full Franken-stack.
A couple of major platforms plug in nicely; the rest become screenshots, exports, or “we’ll explain that later” on the call. - They don’t think in retention and upsell.
Most tools optimize for “look at all these metrics,” not “here’s why staying and growing with us is the obvious move.” - They rarely include a human-ready video layer.
Busy owners don’t want another login—they want a short, clear explanation they can absorb on their phone.
So yes, the market has dashboards. What’s missing is a system deliberately designed around agency reality: messy vendors in, one coherent, repeatable story out—decks, dashboards, and video all telling the same thing.
That gap is exactly where this tool lives.
The Vision: One Story, Many Pipes
We’re building toward a system that does one thing exceptionally well:
Turn a messy, multi-channel marketing footprint into a single, simple story that a non-expert can understand—and want to keep paying for.
Under the hood, it’s three big layers.
1. The Plumbing Layer: Multi-Source In, Human-Readable Out
We’re not trying to replace every tool. The system sits on top of what you already use:
- Social (paid + organic)
- Programmatic / display / CTV
- Search
- Local listings and reviews
- Website analytics
- Whatever weird niche vendor your biggest client insists on using
We don’t care whether it’s API-pulled, CSV-dumped, or PDF-attached. The job here is to normalize:
- Shared concepts: impressions, reach, clicks, conversions, revenue where possible
- Efficiency metrics: CPC, CPM, CPE, CPA
- Contextual tags: campaign type, objective, geography, audience themes
This isn’t “slap it into a BI tool and call it a day.”
It’s opinionated modeling around what actually matters for the kinds of clients agencies live and die by—small to mid-sized, local-ish, not living in dashboards.
2. The Story Layer: A Standard Narrative, Not Just Charts
Most reporting tools stop at “pretty dashboards.”
Dashboards don’t retain clients. Stories do.
We want the system to generate a reliable, repeatable narrative skeleton every month:
- Here’s what we set out to do.
Goals, constraints, what the client actually cares about. - Here’s what happened.
Key outcomes in plain language, not jargon salad. - Here’s why it matters.
Efficiency, benchmarks, “punching above weight” moments. - Here’s what we learned.
Patterns across channels; where the signal is. - Here’s what we’re doing next.
Concrete next steps and experiments, not vague “continue to optimize.”
AI absolutely plays here—but as an assistant, not the boss.
The vision is:
- AI drafts the narrative, tuned to your brand voice and templates.
- Your team reviews, polishes, and adds human nuance.
- Over time, the system learns which insights get used, ignored, or edited.
The goal is not “zero human touches.” The goal is “your strategists spend 15 minutes sharpening a good draft, not 90 minutes starting from a blank slide.”
3. The Delivery Layer: Decks, Dashboards, and Video
The output isn’t one thing; it’s a bundle that stays in sync.
Internal dashboards for your team
- Granular, nerdy, drill-down capable.
- Designed for strategy and QA, not clients.
- The place you go to argue with the numbers and change course.
Client-facing decks
- Automatically generated in your tool of choice (Slides, PowerPoint, Gamma, etc.).
- Same structure every month so clients learn the pattern and stop getting lost.
- Enough detail to be credible, not so much that you lose the plot.
Optional AI video recap
- Short, avatar-based monthly summary.
- Perfect for busy owners who will never read a 20-slide deck but will watch a 2-minute video on their phone.
- Consistent tone and structure, tuned to your agency voice.
All three are powered by the same underlying data and story.
Change the data once; dashboards, decks, and video all align.
What This Is Not
Let’s be clear about what we’re not building.
- Not another all-in-one “agency OS”
We’re not trying to replace your CRM, ticketing, project management, or ad platforms. Those are separate problems. - Not an attribution religion
This isn’t a perfect multi-touch attribution engine. For most agencies, that’s overkill and often fictional. We’re focused on clear, honest contribution stories, not fake precision. - Not a “magic AI dashboard”
If a pitch starts with “we’re AI-first,” you should probably run. We’re workflow-first, AI-assisted. The stack matters, but the monthly meeting matters more.
Why This Actually Matters for Agencies
This isn’t just a data project. It’s a business model project.
When unified reporting and narrative are working, a few things change:
- Retention goes up
Clients finally see the through-line from spend → activity → outcomes → next moves, instead of random tactical noise. - Conversations move up a level
You stop arguing about “why my CPC is higher than last month” and start talking about “are we going after the right audience and offers.” - Your team gets unstuck
- Fewer late nights building Frankenstein decks.
- More time on creative, experimentation, and strategy.
- You get leverage on upsell
A clean, unified story makes it much easier to say, “Here’s what we’d do with +20% budget,” and have it land.
AI is the multiplier—but only after you have the system.
How Bait Shop Thinks About Building It
Internally we think in two modes: Factory and Lab.
Factory: The Reliable Backbone
This is the part that has to be boring in the best way:
- Stable data pipelines from your core platforms
- A unified data model your team can understand
- Standard templates for dashboards and decks
- Baseline AI-assisted summaries you can trust not to hallucinate nonsense
Every month, like clockwork, the Factory does its thing.
Lab: The Experiments That Push the Edges
This is where we play:
- Testing different narrative structures
- Experimenting with AI video recaps, tones, and lengths
- Trying new ways to visualize “punching above weight” and efficiency
- Surfacing cross-client learnings without breaking privacy
The Lab isn’t a separate playground for side projects; it runs on top of the Factory. We test with a subset of accounts, measure impact, and promote winners into the core system.
That’s how this avoids becoming a one-off “cool demo” that rots in someone’s bookmarks.
Where We’re Headed
The end state we care about looks like this:
- A small business owner opens their monthly recap—deck or video—and actually gets it.
- They can answer, in their own words:
- “What did I pay for?”
- “What did I get?”
- “What’s happening next?”
- Your account manager walks into the meeting with confidence, not defensiveness.
- Your leadership sees reporting as a strategic asset, not a monthly tax on everyone’s sanity.
Under that calm surface, there’s a system quietly doing the hard stuff: integrations, normalization, AI-assisted story generation, automated decks, maybe a talking-head video.
If you’re running an agency and thinking, “That’s the reporting world I want,” that’s the direction we’re building toward at Bait Shop.
Not another dashboard.
A system that makes your work understandable—and therefore a lot harder to cut.