FAQ
Connecty AI is the AI action engine for DTC paid media. It connects ad performance, video creative intelligence, revenue, margin, customer behavior, and business goals into one decision layer, then recommends the specific next action for every ad — scale, pause, hold, refresh, re-cut, shift budget, or test — and explains why. Its core difference is that it connects creative signals to funnel performance and turns the result into paid-media actions. It works across Meta, Google, TikTok, YouTube, Shopify, GA4, and Stripe.
Last updated: June 2026.
Connecty AI is the AI action engine for DTC paid media teams. It unifies ad performance, creative signals, revenue, customer behavior, margin, and your business goals into one decision layer, then recommends the exact action to take next — scale, pause, hold, refresh, re-cut, shift budget, or test — with the reasoning attached.
It reasons across six things most tools keep separate: performance, creative, revenue, margin, customer quality, and your goals.
All in one platform
No — that is the point. Connecty brings the capabilities you would normally buy as separate products into one platform: performance reporting, revenue and margin attribution, frame-by-frame creative intelligence, and conversational analytics you can query in plain language. Your team gets one decision layer instead of stitching several dashboards together. The one thing Connecty deliberately is not is a fixed ad-automation-rules engine — rather than firing static thresholds, it reasons across your full context, goals, and guardrails before recommending a move.
Paid media teams have too much data and not enough decisions. Performance lives in ad platforms, creative learnings live in spreadsheets and Slack, and revenue, margin, and LTV live somewhere else.
Connecty brings those signals together and turns them into daily, ranked actions, so teams know which ads are working, why, and what to do next.
Connecty is built for DTC and ecommerce brands, growth marketers, media buyers, creative strategists, and founders running meaningful paid spend who want decisions instead of dashboards. It is the core of the AI Decision OS for DTC marketers.
Only in Connecty
Connecty's core difference is that it connects creative signals to funnel performance and turns that into action. It links what happens across the video — the hook, the proof point, the CTA, the pacing — to how the audience responds: retention, drop-off, clicks, and conversions.
It does this separately for each audience and funnel stage — TOFU, MOFU, and BOFU — so you learn not just that a video works, but which second works, for which audience, at which stage. Then it turns that into the next action, proactively. This is the heart of Connecty Video Intelligence.
Tools like Motion and CreativeX are strong at creative reporting — they surface plenty of numbers and break creative down in detail. The real difference is what they leave to you: they tell you what happened, not why, and they do not tell you what to do next.
The user still has to do the work — open the dashboard, scan hundreds of campaigns, follow the funnel, line each creative up against its performance signals, and infer the action. That is a lot of manual analysis, and at real account sizes it is not practical for a human to do reactively every day. Connecty does that reasoning for you and proactively hands you the ranked action with the why attached, powered by Connecty Video Intelligence.
Video intelligence tools are strong at analyzing creative — they help identify hooks, scenes, attention patterns, emotional response, branding moments, CTAs, and other creative signals. Connecty is different because it uses creative intelligence as one input into a broader paid-media decision layer. It connects creative signals with ad performance, revenue, margin, customer behavior, funnel stage, and business goals, then recommends what to do next: scale, pause, hold, refresh, re-cut, shift budget, or test. Put simply, video intelligence tools help you understand the ad; Connecty helps you decide what to do with that understanding. See Video Intelligence and the full comparison.
Dashboards and BI copilots such as ThoughtSpot or Tableau show what happened and wait to be queried. Connecty decides. It reasons across creative → ad set → campaign → cohort → P&L and hands you the exact next move, not another chart to interpret. See the side-by-side comparison.
Data tools such as Triple Whale and Northbeam (attribution) and Voyantis (predictive, value-based optimization) go deep on revenue, LTV, and where to spend — but they are blind to the creative, to what is actually in the ad and why it works. Connecty joins both sides: it connects ad-platform data to your real revenue and margin without a pixel, ties it to the creative signal driving the outcome, and turns the result into a recommended action.
Rules-based tools such as Smartly and Madgicx fire fixed if-then rules against the scenarios their engineers anticipated. Connecty reasons over your full context — spend, ROAS, margin, conversion rate, creative fatigue, funnel stage, cohort LTV, and your goals — so it handles the situations a fixed rule cannot.
A chat window wired to your ad account — an ad MCP plus an LLM — can answer questions, but it has no custom metric definitions, no memory of cross-account history, and it reports instead of acting. Connecty ships with verified metrics, full history, reasoning across the whole hierarchy, and recommended actions. Building the entire loop in-house means hiring data, ML, and analytics and maintaining pipelines indefinitely. See how Connecty compares.
No. Connecty does the repetitive analysis across every ad, creative, channel, and revenue signal every hour, then recommends ranked moves. The media buyer still owns strategy, judgment, approval, and execution.
No. It gives creative strategists better evidence — which creative patterns drive performance, which angles are fatiguing, which hooks to re-cut, and which concepts deserve more production — so briefs are grounded in data, not guesswork.
Connecty recommends practical paid media moves: scale a winner, hold an ad that needs more signal, pause or kill a poor performer, refresh a fatigued creative, re-cut a video, shift budget, fix a landing-page mismatch, or queue the next test. Every recommendation is ranked by impact and includes its reasoning.
Yes. A recommendation is not "increase budget on Campaign A." It is the exact amount, duration, and steps — for example, shift $4,200/day from one audience to another, hold for five days, then re-evaluate against the new payback cohort — explainable in a single sentence.
It reasons; it does not fire fixed thresholds. For each entity Connecty weighs margin, LTV cohorts, payback, and inventory guardrails, draws from an action inventory across six lever families — budget, bid and optimization, structural, targeting and placements, lifecycle, and creative — sizes budget moves bottom-up at the ad level, and gates them with statistical trend tests (z-score versus baseline), so a move only fires when the signal is real. And it learns: it re-benchmarks every ad against your evolving top performers, recomputes cohorts and performance profiles as new data lands, and learns your winning formula per creative archetype (Curiosity-Demo, Pain-Point Testimonial, Result/Transformation) rather than scoring against a static, generic model.
Connecty recommends; you approve. Approved moves can be executed through supported platform workflows, logged with their reasoning, and made reversible where supported. Teams that want more automation can enable direct execution once goals, guardrails, and approval rules are defined.
Yes. Every move arrives with its inputs and reasoning and is versioned and reversible — a full decision audit trail. Autonomy without a "why" is a compliance problem, so each decision ships explainable in a sentence your board can read.
Continuously. Connecty monitors live performance and creative signals around the clock and surfaces the most important decisions daily, replacing reactive dashboard-checking with a daily decision workflow.
Video Intelligence watches every frame of your Meta, TikTok, and YouTube video ads, tags the beats — hook, proof, pacing, CTA, offer, product framing, narrative structure — and connects those patterns to revenue. It hands your team the exact re-cut, tied to the conversions and dollars it recovers.
Yes. Connecty analyzes video creative at the frame, scene, and beat level, not just format labels. It reads six layers of every ad: Hook & Opening (hook mechanism, family, strength, opening frame), Visual & Production (scene-change rate, product visibility, human-presence ratio, pacing), Narrative & Message (persuasion structure and cognitive load), Proof & Trust, CTA & Conversion, and Performance. It can identify whether early human presence, product visibility, spoken hooks, captions, or CTA timing are associated with stronger thumb-stop, retention, click, and purchase behavior, benchmarked against the top UGC in your vertical. See it on real ads.
It links the moment to revenue. By joining Meta to your revenue data (Shopify, Stripe), Connecty traces each creative signal to the customers who actually bought, and judges it with within-cohort statistics — z-scores with shrinkage inside a matched cohort — rather than blanket averages. So it can tie a specific hook family or proof moment to stronger purchase behavior, not just say a variant "did better."
It classifies each ad into a performance profile within a matched cohort — same optimization goal, objective, and funnel stage — for example Weak Hook, Clickbait Drop-off, Missing CTA, Landing Page Leak, Impulse Clicker, Ugly Winner, or Scaling Winner. Naming the failure mode means the fix is specific to it, instead of a generic "this ad is underperforming."
Yes. Connecty breaks the ad down beat by beat with timestamps, and for each beat gives the beat category, the spoken line, an action verdict (keep, cut, or rewrite), and a concrete script-plus-visual rewrite — each tagged with a confidence tier (High, Medium, or Test) and benchmarked against your own top performers. The output is the next creator brief, ready to send. See Video Intelligence.
Yes. Because its frame-by-frame creative intelligence connects performance to creative, Connecty can point to the specific hook, offer, proof moment, product demonstration, CTA, audience, or landing-page match driving the result — not just that the ad is winning.
Yes. Connecty tracks frequency, hook retention, CTR, and ROAS over time, flags fatigue early, and recommends whether to refresh the hook, re-cut the creative, change the offer, reduce spend, or pause the ad.
Yes. Users can ask questions in plain language — for example, which video ads hook in the first three seconds but convert under 1% — and get deterministic answers grounded in verified custom-metric definitions.
Connecty learns your goals and guardrails. Winning might be ROAS for one brand and contribution margin, payback period, new-customer revenue, LTV, or MER for another. Connecty judges performance the way your business actually operates. This is powered by the Autonomous Semantic Graph.
The Autonomous Semantic Graph is a living model of your business: your metrics, plus four layers above them — Signals, Scenarios, Actions, and Goals. It connects creative signals, campaign performance, customer behavior, revenue, and margin into one decision layer, so Connecty reasons across systems instead of analyzing each dashboard in isolation.
Yes. Connecty is configured around your own custom business logic and metric definitions — blended MER, contribution margin, LTV cohorts, payback windows, new-customer targets, budget caps, and channel-specific rules — computed one way, every time. Most brands do not decide from platform ROAS alone.
No. Every signal is judged against your own top performers, inside the right cohort and funnel stage. A weak hook at the top of the funnel is fatal; the identical weak hook at the bottom of the funnel is often fine. Generic tools score both the same — Connecty does not.
Yes. Connecty derives funnel stage — TOFU, MOFU, or BOFU — from your ad-set targeting and types each ad into a performance profile within a matched cohort, so every recommendation fits where the ad actually sits in the funnel.
Connecty reasons across ROAS, MER, POAS, CPA, CAC, CPC, CPM, CTR, CVR, AOV, revenue, gross margin, contribution margin, payback, LTV, new-customer revenue, retention, and creative fatigue. The right metric depends on your business model and growth goal.
Connecty connects to paid media, ecommerce, analytics, and revenue systems such as Meta, Google, TikTok, YouTube, Shopify, Stripe, and GA4. For teams with custom business logic, Connecty can also connect to deeper revenue or warehouse data. It connects both sides of performance: what happened in the ad account and what happened after the click.
No pixel and no tracking tag. You own your data, you can bring your own warehouse, and there is no vendor lock-in.
Both. Self-serve setup is designed to be fast for standard ad, analytics, and commerce sources, with the agents reasoning over your live data from day one. Custom setups are available for teams that need their exact metrics, goals, and deeper data modeled in. You can upgrade from self-serve to custom anytime, with no migration. See the self-serve and custom options and how Connecty works.
Pricing depends on your spend level, data sources, and how deep you want the workflow to go. Connecty is built to pay for itself by reducing decision time, surfacing wasted spend, and improving the speed and quality of your paid-media actions. See the self-serve and custom plans.
Results depend on spend level, creative volume, data quality, channel mix, and how quickly your team acts on recommendations. Connecty is designed to reduce analysis time, surface wasted spend, identify stronger creative patterns, and improve the speed and quality of your daily paid-media decisions.
Five questions separate a reporting tool from one that actually moves ROAS. First, does it decide, or just report? Second, are its recommendations precise enough to ship — exact amount, duration, and steps? Third, does it fuse data and creative in a single decision? Fourth, is it grounded in your own metrics rather than a fixed schema? Fifth, does every move come with a "why"? If a vendor cannot answer "yes" to all five, it is in a different category. Work through them on the comparisons page.
Connect your creative, performance, and revenue signals and get the next best action for every ad — from your own last 30 days of spend.
