FAQ
Connecty is the AI action engine for DTC paid media. It reads what's actually inside your creative: every video frame, every image ad, every landing page. It connects that to what's performing, from engagement through conversion to retention, and to who's watching, by audience and funnel stage (TOFU, MOFU, BOFU). The result: a specific next action for every ad (scale, pause, hold, refresh, re-cut, shift budget, or test) with the reasoning attached, delivered proactively every day, without being prompted. It's video ad intelligence extended across everything your customer sees. Connecty is a Meta Verified Tech Provider: connect through Facebook login in about five minutes. Self-Serve analyzes your Meta account; Enterprise adds Shopify, Stripe, GA4, and WooCommerce context.
Last updated: August 2026.
Connecty is the AI action engine for DTC paid media teams. It brings creative intelligence (video, image, and landing page) together with ad performance, revenue, margin, and your business goals in one decision layer, then tells you the exact next move for each ad: scale, pause, hold, refresh, re-cut, shift budget, or test, and why.
In practice, it answers the three questions every paid media decision hangs on. What's in the creative? How is it performing, from engagement through conversion to retention? And who's actually seeing it at each funnel stage?
All in one platform
Connecty can replace or reduce several separate workflows: creative analytics, landing-page diagnosis, performance analysis, and paid-media recommendation generation, in one decision layer instead of five dashboards stitched together. Whether it replaces your attribution, BI, or execution platform depends on your plan, measurement requirements, and operating stack. The one thing Connecty deliberately isn't is a fixed ad-automation-rules engine: it reasons across your context, goals, and guardrails instead of firing static thresholds.
It depends on the plan. Self-Serve focuses on Meta creative intelligence, landing-page analysis, and ready-to-implement paid-media recommendations. Enterprise adds conversational analytics, custom attribution, custom metrics, and product and customer intelligence across Shopify, Stripe, GA4, and WooCommerce, so analytics runs from ads to orders to margin and LTV cohorts. Either way, the difference from a dashboard is what happens next: Connecty turns the analytics into ranked, evidence-backed recommendations instead of charts you still have to interpret.
Paid media teams have too much data and not enough decisions. Performance sits in the ad platforms, creative learnings in spreadsheets and Slack, landing pages with the web team, and revenue, margin, and LTV somewhere else entirely. Nobody joins what's inside the ad with how it performs and who saw it.
Connecty pulls those signals together and turns them into daily, ranked actions, so your team knows which ads are working, why, for whom, and what to do next.
DTC and ecommerce brands, growth marketers, media buyers, creative strategists, and founders running real paid spend who want decisions instead of dashboards. It's the core of the AI Decision OS for DTC marketers.
Only in Connecty
Connecty joins three things no other tool joins in a single decision. What's in the creative: it reads the video frame by frame (hook, proof, pacing, CTA), your image ads, and the landing page the click lands on. What's performing: it follows each signal from thumb-stop and retention to clicks and purchases to repeat behavior and LTV cohorts. And who's watching: all of it evaluated separately per audience and funnel stage, TOFU, MOFU, and BOFU.
So you don't just learn that an ad works. You learn which second works, on which page, for which audience, at which stage. And Connecty turns that into the next action proactively: ranked recommendations arrive daily, without being prompted. This is the heart of Connecty Video Intelligence.
Motion is genuinely strong: frame-by-frame creative analysis, retention and drop-off reporting, AI tagging, competitor research, briefs, and landing-page audits via Runneth. It helps creative teams identify winning patterns and decide what creative to make next.
Connecty differs in the unit of reasoning. It interprets the semantic role of each key moment, evaluates the same moment separately per audience and funnel stage, links that evidence with conversion and revenue, then recommends the next paid-media action across creative, budget, bid, structure, and landing page, with specific values where applicable. And Connecty is proactive by default: it monitors your account and delivers ranked recommendations daily, without a prompt; Runneth operates as a prompt-driven teammate with scheduled workflows. See the full comparison.
Yes. Motion publicly documents frame-by-frame creative analysis and video retention reporting. Connecty differs in what happens next: it interprets each key moment within its audience and funnel-stage context, connects it to downstream outcomes, and recommends the right intervention across creative, budget, bid, and landing page.
Those tools are strong at video creative intelligence: hooks, scenes, attention patterns, emotional response, CTAs. Connecty differs in three ways. Its video ad intelligence covers the whole path the customer sees: the video, the image ads, and the landing page after the click. It goes past detection, decoding the role each element plays in the video and whether it's driving retention or drop-off. And it feeds all of that into a decision layer that connects creative signals with engagement, conversion, and retention per audience and funnel stage, then recommends what to do. 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.
ThoughtSpot and Tableau now offer proactive, agentic analytics across many business functions, on a governed data model your team builds and maintains. Connecty is prebuilt for the paid-media decision: video moments, campaign hierarchy, funnel stages, creative fatigue, and landing-page continuity, with recommendations ready on day one. The differentiation is vertical depth, not that BI tools are passive. See the side-by-side comparison.
Northbeam and Voyantis go deep on attribution and predictive value; their moment-level creative interpretation is limited. Triple Whale is broader: ecommerce intelligence, attribution, creative-pattern analysis with Moby Agents, and supported execution of media actions. Connecty goes deeper into the video itself: it interprets frames, scenes, and key moments within their audience and funnel-stage context, then links that evidence with engagement, conversion, revenue, and the next paid-media action. In short: Triple Whale finds winning creative patterns. Connecty finds the moment behind the outcome. See the full comparison.
Yes. Triple Whale publicly documents computer-vision analysis of visual elements, layouts, copy themes, and psychological triggers, and supports video input in its creative workflows. Its public materials do not clearly document frame-level, timestamp-level analysis tied to second-by-second audience retention, which is Connecty's core unit of analysis.
Smartly and Madgicx are strong at media automation, campaign control, and execution, including predictive budget allocation and account audits. Connecty differentiates on the evidence behind the recommendation: what happened inside the video, how the intended audience responded, and whether the right intervention is creative, budget, bid, structure, or landing page, weighed against your margin, cohort LTV, and goals.
A general-purpose LLM can analyze an ad and reason about performance when you give it the right data. The difference is the system around the model. Connecty continuously joins creative, audience, campaign, funnel, and business signals, models what is normal for your account, evaluates video moments against actual outcomes with matched cohorts and statistical tests, and turns the result into ranked paid-media actions. Recreating that internally means building and maintaining the data, context, evaluation, and workflow layer around the model. See how Connecty compares.
No. Connecty does the repetitive analysis across every ad, creative, and revenue signal, then recommends ranked moves. Your media buyer still owns strategy, judgment, approval, and execution.
No. Connecty tells your team what to make and why: which hook, scene, message, and format already convert for each audience, which angles are fatiguing, and drafts the script or image to start from. Your strategists, creators, and editors still make the ads. The goal is fewer wasted variations, not fewer people.
Video ad intelligence is technology that analyzes what's inside a video ad (the hook, the pacing, the proof points, the CTA) and connects those elements to how the ad actually performs, so teams can see why an ad works, not just whether it works. It's different from ad spy tools, which track competitor ads, and from AI video generators, which create ads. Video ad intelligence is about understanding your own creative and its performance.
Connecty takes the idea further: it extends the analysis to image ads and the landing page after the click, connects every signal to audience, funnel stage, revenue, and retention, and turns the finding into a recommended action.
The core USP
Everything the customer sees, joined to everything they do. Connecty reads three creative surfaces: the video, frame by frame; the image ad, from composition and hook text to product framing and offer; and the landing page the click arrives on, checking message match, offer continuity, and the conversion path. Each of those signals gets connected to the full performance journey (engagement, conversion, retention) and to who's watching: each audience and funnel stage, TOFU, MOFU, and BOFU.
That three-way join, creative by performance by audience, is what turns creative analysis into a decision. See Connecty's video ad intelligence.
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. Your team gets 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 (mechanism, family, strength, opening frame), Visual & Production (scene-change rate, product visibility, human presence, pacing), Narrative & Message (persuasion structure, cognitive load), Proof & Trust, CTA & Conversion, and Performance. That's how it links signals like early human presence, spoken hooks, captions, and CTA timing to thumb-stop, retention, click, and purchase behavior, benchmarked against your own top performers in matched cohorts. See it on real ads.
It understands the role, and that's a real difference. Most video AI stops at entity detection: a face appears at 0:03, your product shows up in 40% of frames. Connecty adds a layer on top, decoding what each entity is doing contextually in that specific video, and whether that moment drives retention or causes drop-off.
The easiest way to see the difference is in the questions you can ask. Entity detection answers "in which videos is my red scarf visible?" Connecty also answers "in which videos is the red scarf acting as the hook, or as a key moment that improves retention?" Same object, completely different insight. One tells you it's on screen. The other tells you whether it's earning its screen time.
Yes. Static and carousel ads get the same treatment as video. Connecty reads the composition, headline and hook text, product framing, offer, social proof, and CTA, then connects each signal to engagement, conversion, and retention within the right audience and funnel-stage cohort. You learn which image patterns stop the scroll at TOFU, which drive purchases at BOFU, and which are quietly fatiguing, judged against your own top performers rather than generic benchmarks.
Yes, because a surprising share of "underperforming ads" are actually landing-page problems. Connecty reads the page the click arrives on and checks it against the promise the creative made: does the hook's claim, offer, and framing carry through, and is the conversion path intact? When a strong ad meets a mismatched page, Connecty calls it a Landing Page Leak instead of blaming the creative, and recommends the page-side fix rather than a wasted re-cut or pause.
By following the same creative signal through the whole journey. Engagement tells you the hook worked: thumb-stop, hook retention, drop-off. Conversion tells you the promise and page worked: CTR, CVR, purchases. Retention tells you the ad attracted the right customer: repeat purchase, cohort LTV, payback. Joining all three is how Connecty separates an ad that hooks but never converts, one that converts bargain hunters with poor LTV, and an "Ugly Winner" with weak engagement but excellent customers. Those look identical in a dashboard. Each demands a different action.
Connecty derives the audience and funnel-stage context (TOFU, MOFU, or BOFU) from your ad-set targeting, campaign structure, and available delivery breakdowns, and evaluates every creative signal inside that matched cohort. A weak hook at TOFU, where you're fighting for cold attention, is fatal; the identical hook at BOFU is often fine. Because Connecty judges creative per audience and stage, its recommendations fit where the ad actually sits, including moving a creative to the stage where it performs.
Creative to ROAS analysis is Connecty's core. It reads every video frame by frame (hook, pacing, proof, product visibility, CTA) and maps each element to revenue outcomes, not engagement scores. It joins Meta to your revenue data (Shopify, Stripe) and judges each signal with within-cohort statistics (z-scores with shrinkage) rather than blanket averages.
So instead of "this ad has high ROAS," you learn which combination of hook, scene, and message drives higher ROAS for a specific audience, and what to make next. The same creative is evaluated separately for prospecting, returning, and ready-to-buy audiences, because the right action differs by funnel stage.
It classifies each ad into a performance profile within a matched cohort (same optimization goal, objective, and funnel stage): Weak Hook, Clickbait Drop-off, Missing CTA, Landing Page Leak, Impulse Clicker, Ugly Winner, or Scaling Winner. Each profile names where in the engagement-to-conversion-to-retention journey the ad breaks, so the fix matches the failure mode: a re-cut for a Weak Hook, a page fix for a Landing Page Leak. Not a generic "this ad is underperforming."
Yes. Connecty breaks the ad down beat by beat with timestamps. For each beat you get the category, the spoken line, a keep, cut, or rewrite verdict, and a concrete script-plus-visual rewrite, tagged with a confidence tier (High, Medium, or Test) and benchmarked against your own top performers for that audience and stage. The output is your next creator brief, ready to send. See Video Intelligence.
Yes. Connecty generates images and precise video scripts, built from your brand's winning formula for each funnel stage (TOFU, MOFU, BOFU). Generation starts from what already converts, so a script for prospecting differs from one for ready-to-buy customers. Diagnosis first, generation second: Connecty identifies why an ad underperforms, then drafts the fix from evidence, not from a blank prompt.
Both, and most of what Connecty analyzes today is human-made: creator UGC, founder videos, and edited variations. The analysis is the same regardless of how a video was produced; every ad is read frame by frame and connected to revenue. AI-generated video simply raises the volume brands test, which makes knowing which creatives to make more of even more important.
Yes. Because its creative intelligence connects performance to what's actually in the video, image, and landing page, Connecty can point to the specific hook, offer, proof moment, 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, per audience, and flags fatigue early. Then it recommends the right response: refresh the hook, re-cut the creative, change the offer, move it to another funnel stage, or pause it.
Yes, on Enterprise. Ask questions in plain language, like "which TOFU video ads hook in the first three seconds but convert under 1%?", and get deterministic answers grounded in your verified account data, computed one way, every time. Self-Serve delivers proactive recommendations without requiring a chat prompt.
Beyond questions, Connecty works proactively: it detects issues, diagnoses the cause, and delivers recommended actions daily with specific values where applicable, plus the evidence and reasoning. Every recommendation waits for your review; Connecty never changes your ad account.
Connecty connects directly to Meta Ads and analyzes every level of the account: campaign, ad set, and individual ad. It joins spend, ROAS, CPA, CTR, and conversion data with frame-level creative signals and audience breakdowns, then recommends specific optimization actions (scale, pause, refresh, re-cut, shift budget) with evidence. Connecty is read-only: it never changes your ad account. Your team reviews each recommendation and implements it.
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, move a creative to the funnel stage where it performs, or queue the next test. Every recommendation is ranked by impact and comes with its reasoning.
Yes. A recommendation isn't "increase budget on Campaign A." It's 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. And it's explainable in a single sentence.
It reasons; it doesn't fire fixed thresholds. For each entity, Connecty weighs margin, LTV cohorts, payback, and inventory guardrails. It draws from 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. And it learns: it re-benchmarks every ad against your evolving top performers, recomputes cohorts as new data lands, and learns your winning formula per creative archetype.
No. Connecty is read-only by design and never changes your connected ad account. It produces ready-to-implement recommendations for budgets, bids, creatives, and landing pages, with specific values where applicable, plus the evidence and reasoning. Your team decides and implements.
Yes. Every recommendation arrives with its inputs and reasoning and is versioned in a full decision audit trail. A recommendation without a "why" is a trust problem, so each one ships explainable in a sentence your board can read.
Continuously, around the clock, surfacing the most important decisions daily.
It 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, and this is exclusive to the Enterprise plan. Connecty gets configured around your own business logic and metric definitions: blended MER, contribution margin, LTV cohorts, payback windows, new-customer targets, budget caps, channel-specific rules. Computed one way, every time. Self-Serve runs on standard ad, analytics, and commerce metrics; when you want your own definitions modeled in, that's the Enterprise upgrade, no migration needed.
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 doesn't.
The whole journey. Engagement: thumb-stop, hook retention, CTR. Conversion: CVR, CPA, CAC, AOV, revenue. Efficiency: ROAS, MER, POAS, CPC, CPM, gross and contribution margin, payback. Retention: LTV, new-customer revenue, repeat rate. Plus creative fatigue. The right metric depends on your business model and growth goal.
Self-Serve connects to your Meta ad account through Facebook login. Enterprise adds ecommerce, analytics, and revenue context: Shopify, Stripe, GA4, and WooCommerce, plus deeper warehouse data and your own business logic. Connecty covers all three sides of performance: what's in the creative, what happened in the ad account, and what happened after the click, through purchase and beyond.
Yes, Connecty is a Meta Verified Tech Provider. You log in through Facebook, select the Meta Business Portfolio and ad accounts you want Connecty to analyze, and that's it: no pixel to install, no data pipeline to build, no rules to configure. Connecting takes about five minutes; initial analysis begins immediately, and the time to the first complete recommendations depends on account size and historical data volume, typically within the first few hours.
No Connecty pixel, no tracking tag. You own your data, Enterprise teams can bring their own warehouse, and there's no vendor lock-in.
Connecty holds a 5.0 rating on G2 from verified, validated reviewers. The themes that keep coming up: daily account review cut from 20 hours to about 1, the bridge between the media side and the creative side finally closing, and Connecty surfacing the few signals that actually matter instead of dumping every metric at once.
Self-Serve: Meta ad-account connection, frame-level video and image analysis, landing-page intelligence, standard performance metrics, and budget, bid, and creative recommendations. Read-only, with a 14-day free trial. Enterprise: everything in Self-Serve plus the conversational analytics agent, custom metrics and KPIs, custom attribution, product and customer intelligence, and Shopify, Stripe, GA4, and WooCommerce context. Upgrade anytime, no migration needed. See the Self-Serve and Enterprise plans.
Pricing is public and based on your average monthly ad spend. Self-Serve includes a 14-day free trial, with two months free on annual billing; Enterprise is custom-priced. Connecty is built to pay for itself by cutting decision time and surfacing wasted spend. See current tiers on the pricing page.
That depends on spend level, creative volume, data quality, and how quickly your team acts. What Connecty is built to do: cut analysis time, surface wasted spend, and sharpen your daily paid-media decisions.
Most vendors can now say yes to "do you analyze creative?" and "do you recommend actions?" These questions go a level deeper. One: does it analyze video at the ad level, or at the frame, scene, beat, and timestamp level? Two: does it connect a specific moment to retention, clicks, conversion, and revenue? Three: does it interpret the same moment differently by audience and funnel stage? Four: can it choose across creative, budget, bid, structure, and landing-page fixes, or only recommend more creative? Five: does every recommendation show its evidence, specific values, and affected entity? Six: is it read-only, approval-controlled, or autonomous, and which is right for your team? Seven: which capabilities are in the plan you're actually buying? Eight: are capabilities documented as available today, or roadmap? 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.
