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Decision AI for Ads · Competitive Landscape

Every other tool shows you data.
Connecty recommends actions.

BI copilots wait to be asked. Triple Whale scores attribution. Motion scores creatives — but is blind to who bought what. Smartly runs rules. None of them tell you what to do next. Connecty is the decision layer for paid media — fusing data + creative + attribution + customer intelligence against your custom metrics, then handing your team precise, ready-to-ship moves: how much, how long, exactly which steps. Daily.

+10%
ROAS lift
45 min
Decision time, down from 8 hrs
15 min
Setup. No pixel. No data eng.
$15–45K
Monthly EBITDA recovered
◆ §01 · The Landscape

Four adjacent categories. One gap.
Nobody owns the decision layer.

BI copilots, attribution platforms, ad consolidators, and creative analytics each own a slice. None reason across all three signals — data, customer, creative — and none take action. That's the gap.

System class
What it understands
How it thinks
What it does
BI Copilots
Tableau · PowerBI · Thoughtspot
All your data — but you build the model. Takes a data team weeks to wire up.
Query-based. Waits to be asked. 300+ dashboards to support one decision.
Prompt-based insights only. Human decides.
Attribution
Triple Whale · Northbeam · Polar
Rigid, pixel-dependent models tied to attribution windows. No cross-entity reasoning.
Algorithmic scoring. No AI reasoning across creative, campaign, or customer.
No nested actions across campaign entities. Report only.
Ad Consolidators
Smartly · Funnel · Madgicx
Ad platform data only. Blind to Shopify, product, customer intelligence.
Ads only. Cannot reason across product, cohort, or P&L. Rules-based at best.
Consolidated reporting only. No autonomous decisions.
Creative Intelligence
Motion · CreativeX · VidMob
Creative analysis & basic ad metrics. Blind to attribution truth, cohorts, SKU margin.
Strong creative-level reasoning with fixed signals(hook, copy etc). Lacks dynamic signals or reasoning across creative → ad → ad set → campaign → channel → custom business goal.
Creative briefs & performance reports. No nested actions.
Connecty Agentic AI
◆ Decision Layer
Custom scalable semantic layer. Data + creative + attribution + customer/product intelligence, grounded in your metrics.
Autonomous reasoning per entity. Composes decisions across creative → ad set → campaign → cohort → P&L.
Precise, ready-to-ship decisions. Exact dollar amount, exact duration, exact steps. Nested across Meta & Google.
◆ §02 · Feature Matrix

12 questions every VP of Growth should ask. Only one answer is "yes."

The real comparison isn't setup time or API count. It's whether the tool can decide — ground decisions in your business logic, and act in the ad account without a human in the loop.

Capability
Connecty
Thoughtspot
BI Copilot
Triple Whale
Attribution
Smartly
Consolidator
Motion
Creative Intel
→ Decision & Reasoning
Fuses data + creative + attribution + customer/product intelligence
All four signals in one decision — not two, not three
AI real-time reasoning per entity
Reasons across creative → ad set → campaign → cohort → P&L
QUERY-BASED
ALGORITHMIC
RULES
FIXED SIGNALS ONLY
Grounded in your custom business metrics
Your margin, your LTV cohorts, your CAC rules
YOU BUILD IT
FIXED SCHEMA
→ Decision Output
Precise, dollar-level recommendations
Not "increase budget" — exact amount, duration, steps
RULE OUTPUT
DIRECTIONAL
Nested decisions: one insight cascades across entities
Frame signal → creative → ad set → campaign → budget move
Decisions delivered where your team works
Slack, email, dashboard — one-click approve, ready to ship
LIMITED
→ Data & Setup
Bring-your-own data warehouse
Snowflake, BigQuery, Databricks, Postgres
No pixel, no tracking tag
You own the data. No vendor lock-in.
Setup in under 30 minutes
No data engineering. No semantic modeling ticket.
WEEKS
1–2 WEEKS
2–4 WEEKS
→ Trust & Governance
Full decision audit trail
Every move explained, versioned, reversible
QUERY LOG
LIMITED
Learns your business over time
Custom metrics compound month over month
Decisions across Meta, Google, TikTok, Amazon
One decision layer. Every channel.
REPORT
REPORT
EXECUTE
REPORT
◆ §03 · Build vs. Plug In

So your two real options are hire an in-house ML/data team — or plug us in.

The matrix shows no single vendor closes the loop. So the "do-it-yourself" alternative isn't picking another tool — it's stitching the loop together in-house. Here's what that actually costs.

In-house
Option A

Build the loop yourself.

Hire data eng + ML + analytics to own it end-to-end
Stand up & maintain pipelines: Meta, GA4, Triple Whale, Shopify
Build a multi-agent stack that talks to each tool's API
Model attribution so revenue maps back to creative signals
Babysit schema drift, rate limits, token refreshes — forever
Ship improvements on a sprint cadence, not a daily one
Months to stand up · ongoing maintenance tax
Plug & play
Option B

Plug in Connecty in 15 minutes.

Pre-built connectors to Meta, GA4, Triple Whale, Shopify
Multi-agent loop already wired — no pipelines to babysit
Creative-level decisions tied to real revenue, not dashboard vibes
Fuses data + creative + attribution against your custom metrics
Runs the loop: Detect → Diagnose → Decide → Recommend, 24×7
Daily ready-to-ship moves on the ads that actually move ROAS
15-minute setup · days → hours per iteration
◆ §04 · The Moat

Every other tool gives you a chart. Connecty gives you the exact next move.

BI copilots wait to be asked. Triple Whale and Northbeam score attribution inside a pixel model. Motion and CreativeX score frames — blind to attribution, blind to who bought what, blind to SKU margin. Smartly and Madgicx fire rules against the scenarios their engineers anticipated — blind to the 500+ they didn't.

Connecty is the only system that reasons per entity — creative, ad set, campaign, cohort, P&L — and delivers nested decisions precise enough to ship in 30 seconds: not "increase Campaign A's budget," but "shift $4,200/day from Campaign A's broad audience to Campaign C's lookalike, hold for 5 days, then re-evaluate against new CAC payback cohort." Every step explainable in a sentence your board can read.

LAYER 01
Understand
Fuses all four signals: performance data, attribution truth, customer/product intelligence, and creative — grounded in your custom semantic layer.
LAYER 02
Reason
Autonomous reasoning per entity. Composes logic across creative → ad set → campaign → cohort → P&L. No query required.
LAYER 03
Decide
Precise, ready-to-ship moves. Exact dollar amounts, durations, steps — in Slack or your inbox. Executed in 30 seconds.
◆ §05 · The Checklist

5 questions to ask before you pick a tool.

Skip the 15-point BI checklist. For Decision AI in paid media, these five separate a reporting tool from one that actually moves ROAS. If a vendor can't answer "yes" to all five, they're in a different category.

01/05
Does it decide, or just report?
A dashboard shows what happened. A decision tool tells you the highest-leverage next move — proactively, with the work already done.
Red flag"Insights" or "explore further" prompts that send you back into a dashboard.
02/05
Are recommendations precise enough to ship?
"Increase budget on Campaign A" is a hint, not a decision. A real one gives exact dollar amount, duration, and steps.
Red flagVague "consider testing" output. No dollar amounts. No timelines.
03/05
Does it fuse data + creative?
Attribution tools see revenue. Creative tools see hooks. The decision sits in between. Own one side, you're blind to the other.
Red flagTwo separate products, two logins, two reports.
04/05
Is it grounded in your metrics?
ROAS means different things on Meta, Google, and your P&L. A fixed schema can't reason over your margin, LTV cohorts, CAC rules.
Red flag"Universal schema," "works out of the box" with no custom layer.
05/05
Does every move come with a why?
Autonomy without auditability is a compliance problem. Every decision should arrive with reasoning, inputs, and a one-line explanation.
Red flagBlack-box optimization or "the model learned this" hand-waving.
◆ §06 · The Custom Layer

The one row no competitor can copy: your business, encoded.

Every tool in the matrix runs on a fixed schema. Connecty learns a semantic layer of your business — your metrics, plus four layers above them — so the same ad, the same number, the same frame means something specific to you. That's the moat behind every checkmark above.

Live state

Signals

What's happening now — every video read frame-by-frame, joined to revenue.

HookPacingProofCTAFunnel stagePerformance profilesCreative fatigueCohorts
What-if

Scenarios

Every situation worth weighing, checked daily against live signals.

Winner capped?LTV shrinking?Fatigue setting in?Seasonal window?
Playbook

Actions

The moves a great buyer makes — ranked, logged, reversible.

ScaleHoldKillRe-cutShift budgetBrief
Strategy

Goals

What every decision steers toward — your targets and your strategy.

Growth vs. efficiencyICPTOFU / MOFU / BOFUPaybackNorth Star
All four layers sit on your verified metrics — blended MER, contribution margin, LTV — computed one way, every time.
Explore the semantic layer

Stop optimizing dashboards.
Start compounding decisions.

See Connecty's Decision AI deliver precise, ready-to-ship moves on your own Meta and Google accounts. 30 minutes. No pixel. No pipeline.