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Add a closing chapter after the final step with a headline like 'Stop investigating noise. Start resolving risk at scale.' and a button linked to the existing 'Request demo' URL. This converts narrative resolution into action and is the single highest-leverage improvement for a completion-focused demo.","id":"rec-1","priority":"high","relatedSubscore":"chapters-end-cta","title":"Add a closing chapter with a conversion CTA"},{"description":"No current hotspot uses a distinct hook title followed by a supporting sentence. Restructuring each hotspot to lead with a short benefit-oriented title (e.g., 'Noise eliminated automatically' for step 5, 'Pattern over individual event' for step 6) and follow with the existing copy as the body would make the demo significantly more scannable and persuasive for a marketing audience. This single change addresses the largest weighted subscore gap.","id":"rec-2","priority":"high","relatedSubscore":"hotspot-copy-quality","title":"Restructure hotspots with a title-plus-body format"},{"description":"Several hotspots describe what Satori does rather than what that means for the analyst. For example, step 5 could reframe from 'Satori auto-closed this finding as Not an Issue' to a body that reads 'Analysts skip the noise — Satori clears legitimate activity automatically so the team focuses only on real risk.' Applying this outcome-first reframe to steps 5, 6, 8, and 9 would close the gap between current copy and marketing benchmark quality.","id":"rec-3","priority":"medium","relatedSubscore":"hotspot-copy-quality","title":"Shift hotspot body copy toward viewer outcomes, not platform mechanics"},{"description":"Step 7 ('12 users and 31 findings') is the standout hotspot because it uses specific numbers. Apply the same specificity principle to other steps — for example, step 10 already references '31 findings' effectively, but steps 5 and 6 could incorporate confidence levels, time-to-triage reductions, or analyst efficiency gains if supported by Proofpoint data. Specific numbers create credibility and memorability for security buyers.","id":"rec-4","priority":"medium","relatedSubscore":"hotspot-copy-quality","title":"Reinforce quantified outcomes in hotspot copy where available"},{"description":"Step 3 is captured at 2560×1440 while all other steps use 2880×1620. Although both are 16:9 and no visible framing issue results, recapturing step 3 at 2880×1620 would ensure pixel-perfect consistency across the full demo and eliminate any subtle quality variance during playback.","id":"rec-5","priority":"low","relatedSubscore":"aspect-ratio-capture","title":"Standardize screen capture resolution across all steps"}],"schemaVersion":1,"subscores":[{"benchmark":80,"category":"step-length","details":["10 total steps aligns with the top-performing completion-focused benchmark range of 10-12 steps","Two chapter/interstitial steps (steps 1 and 4) provide natural narrative breaks without padding the count","No obviously redundant or padding steps detected — each step carries distinct story value"],"explanation":"At 10 steps, this completion-focused marketing demo falls squarely within the hero demo sweet spot of 10-12 steps. The pacing is tight and the narrative moves efficiently from problem setup through resolution.","label":"Demo Step Length","score":85},{"benchmark":70,"category":"hotspot-copy-quality","details":["Step 2: 'An approved discovery matter. A printed contract with SSNs. DLP flags it — but is it risky?' — Good tension-building, but structured as a series of fragments rather than a clear hook plus value sentence. Works better than most but still lacks a punchy benefit framing.","Step 3: 'Same trigger, different story. This time, sensitive contracts go to a personal inbox — real data-loss risk.' — The hook ('Same trigger, different story') is effective, but the supporting sentence describes activity rather than surfacing a viewer outcome or platform benefit.","Step 5: 'Satori auto-closed this finding as Not an Issue, matching a regular business process with high confidence.' — Reads as a feature description, not a benefit. Missing a hook. A stronger version would lead with the value: analysts stop wasting time on legitimate activity.","Step 6: 'Proofpoint links Ava's activity to related findings, surfacing one Data Loss Risk in Gordon's Action Queue.' — Describes the mechanic accurately but reads like a caption, not a marketing message. No viewer outcome is surfaced.","Step 7: 'One work item spans 12 users and 31 findings — all traced to personal-email data exfiltration.' — This is the strongest hotspot. The specificity (12 users, 31 findings) creates an 'aha moment' and the dash-separated clause provides a concrete outcome.","Step 8: 'Gordon asks Satori why. The cause: a cumbersome remote-access process employees route around with personal email.' — Narrative voice is engaging but the hotspot explains the story beat rather than highlighting the platform's value to the analyst.","Step 9: 'Satori recommends optimizing the affected DLP rules — and shows exactly which ones change before anything is applied.' — Good transparency benefit ('before anything is applied'), but the hook is absent. Leading with a benefit like 'Full visibility before any change' would strengthen impact.","Step 10: 'One approval. Satori updates the rules and closes the grouped issue — one response to 31 findings.' — Strongest closing hotspot. Punchy structure and the '31 findings' callback reinforces efficiency. Closest to benchmark quality.","No hotspot uses a structured title-plus-body format — all are single-block copy. Adding a short hook title to each would substantially lift perceived polish and scannability per the marketing rubric.","Average word count per hotspot is approximately 18-22 words, which is acceptable, but the absence of title/hook structure means the copy feels dense rather than scannable."],"explanation":"The hotspot copy is factually accurate and narratively coherent, but most hotspots read as single-sentence summaries rather than structured title-plus-body marketing hooks. The copy communicates what happens but rarely leads with a distinct viewer-benefit hook or outcome framing, which the marketing rubric requires.","label":"Hotspot Copy Quality","score":55},{"benchmark":75,"category":"aspect-ratio-capture","details":["Steps 1, 2, 4-10 captured at 2880×1620 (16:9)","Step 3 captured at 2560×1440 (16:9) — same normalized ratio, no meaningful framing inconsistency","Both resolutions are above the recommended 1920×1080 baseline, ensuring high visual fidelity","No aspect ratio mismatches detected that would cause visible layout shifts or pillarboxing"],"explanation":"The majority of steps are captured at 2880×1620, with step 3 captured at 2560×1440. Both resolve to the same 16:9 normalized aspect ratio, so the effective framing is consistent throughout. The minor pixel-level difference between these two resolutions is cosmetically negligible.","label":"Visual Framing Consistency","score":80},{"benchmark":65,"category":"chapters-end-cta","details":["Chapter 1 ('Two DLP triggers. Which one matters?') — strong framing that immediately establishes the core tension and ICP problem","Chapter 4 ('Meanwhile, in the Security Team…') — effective scene transition that reorients the viewer to the analyst persona","No closing chapter or end CTA step exists after step 10. The demo ends on a hotspot about resolving 31 findings without offering a next-step prompt.","A closing chapter with a CTA button tied to the global 'Request demo' link would materially improve conversion from this demo's resolution moment","Chapter descriptions are well-written and appropriately detailed for a marketing context"],"explanation":"Two chapters are used effectively to frame the narrative arc — the problem setup and the analyst perspective shift. However, there is no dedicated end CTA step or closing chapter to convert momentum from the demo's strong final beat into a next action. The global CTA ('Request demo') exists at the platform level but is not reinforced with a closing chapter or step-level prompt.","label":"Chapters + End CTA Structure","score":60},{"benchmark":70,"category":"use-case-alignment","details":["Scenario-driven storytelling (Emily vs. Ava) is a best-practice approach for marketing demos targeting security buyers","The demo moves efficiently from problem identification to root cause analysis to resolution — matching the stated demo intent","The analyst persona (Gordon) is introduced with a clear job-to-be-done, which helps ICP viewers self-identify","The meta description matches the demo content accurately — no overpromising or misalignment","Missing explicit outcome metrics or customer-value framing in hotspot copy slightly weakens the marketing punch"],"explanation":"The demo is well-structured for a marketing, completion-focused use case. The narrative-driven story format (two employees, one analyst) creates a relatable ICP journey and builds toward a clear resolution. The scenario-based flow aligns strongly with the stated intent of showing how Agentic DLP connects activity and reduces risk.","label":"Use Case & Intent Alignment","score":78},{"benchmark":65,"category":"engagement-design","details":["AI voiceover enabled on all 10 steps — aligns with the 54% top-demo benchmark and adds narration depth to the story","Brand logo configured (hasBrandLogo: true) — consistent with the 96.8% custom branding benchmark for top-completing demos","All hotspots use Area style with next-button progression, creating a consistent and low-friction flow","Two chapter breaks provide structured pacing without overcomplicating the flow","No branching or interactive decision points, which is appropriate given the linear narrative intent","Custom watermark and custom font not enabled — minor opportunity to further differentiate brand presence"],"explanation":"This demo makes purposeful use of AI voiceover across all 10 steps and has a brand logo configured, both of which correlate strongly with top-completing demos. The consistent use of Area-style hotspots and next-button progression creates a clean, guided experience. No interactive branching is used, which is appropriate for a linear narrative.","label":"Engagement Design","score":82}],"useCase":"marketing"},{"id":"cmtj2sarn002yyt0iu3mthei1","checklistProgress":[],"auditedDemoTitle":"Stop Treating DLP Findings as Isolated Events","auditedDemoUpdatedAt":"2026-09-01T19:42:25.857Z","benchmarkAverage":62,"checklistItems":[],"demoId":"cmtix59bp0004170ialkcz9vy","desiredIntent":"completion-focused","detectedLanguage":"en","featureKeys":["chapters","ai-text"],"intent":"See how Agentic DLP automatically connects related activity, identifies what's driving the risk, and reduces recurring risk by optimizing policies based on context.","model":"claude-sonnet-4-6","overallScore":75,"percentile":74,"promptVersion":"analysis-v1","recommendations":[{"description":"The end chapter heading 'Take the next step toward human-centric security' and its description are generic brand copy that do not connect to the DLP story the viewer just experienced. Replace with something specific to the demo's outcome — for example: 'Stop chasing noise. Start closing real risks.' with a body that references the Satori workflow the viewer just saw. This will significantly improve CTA conversion at the most critical drop-off point.","id":"rec-2","priority":"high","relatedSubscore":"chapters-end-cta","title":"Rewrite the closing chapter to mirror the demo's specific narrative"},{"description":"Chapter 2 ('Meanwhile, in the Security Team…') transitions to the Satori workflow with a vague description. Replace 'Here's how Proofpoint Satori makes that possible' with a sharper value tease — for example: 'Gordon doesn't investigate 31 findings. He investigates one grouped risk — with root cause already identified.' This keeps viewer momentum high before the most product-dense section of the demo.","id":"rec-5","priority":"medium","relatedSubscore":"chapters-end-cta","title":"Strengthen the mid-demo chapter transition"},{"description":"Step 11 is captured at a noticeably lower native resolution than the rest of the demo. While the aspect ratio matches, recapturing this frame at 2560×1440 or higher would ensure visual consistency through to the final screen, which is especially important given it carries the primary conversion CTA.","id":"rec-6","priority":"low","relatedSubscore":"aspect-ratio-capture","title":"Recapture the closing chapter at a consistent resolution"}],"schemaVersion":1,"subscores":[{"benchmark":80,"category":"step-length","details":["11 total steps including 3 chapter/transition slides — well within the 10-12 step sweet spot for high-completion marketing demos","The chapter breaks at steps 1, 4, and 11 provide natural pacing anchors without padding the step count unnecessarily","Content-bearing steps (steps 2–3, 5–10) total 8 interactive moments — appropriately tight for a single workflow story"],"explanation":"At 11 steps (including chapter breaks), this demo falls squarely within the 10-12 step hero demo formula for completion-focused marketing demos. The pacing is well-calibrated for the narrative arc being told.","label":"Demo Step Length","score":90},{"benchmark":70,"category":"hotspot-copy-quality","details":["Step 2: 'An approved discovery matter. A printed contract with SSNs. DLP flags it — but is it risky?' — The fragmented sentence structure creates intrigue but lacks a clear value hook. There is no title, so the copy reads like mid-story narration rather than a scannable marketing moment.","Step 3: 'Same trigger, different story. This time, sensitive contracts go to a personal inbox — real data-loss risk.' — Good contrast framing, but again no distinct title. 'Real data-loss risk' is buried at the end and would land harder as a headline.","Step 5: 'Satori auto-closed this finding as Not an Issue, matching a regular business process with high confidence.' — Factually clear but reads like a feature log entry. The viewer benefit (less analyst work, no false positives to chase) is entirely implied rather than stated.","Step 6: 'Proofpoint links Ava's activity to related findings, surfacing one Data Loss Risk in Gordon's Action Queue.' — Procedural framing. The outcome (one prioritized signal instead of noise) should be the headline, not the mechanism.","Step 7: 'One work item spans 12 users and 31 findings — all traced to personal-email data exfiltration.' — This is the strongest hotspot in the demo. Specific numbers create immediate impact and the causal link is clear. Still lacks a title hook.","Step 8: 'Gordon asks Satori why. The cause: a cumbersome remote-access process employees route around with personal email.' — Narrative storytelling works here but the hotspot describes what happened rather than the insight value (root-cause analysis in seconds).","Step 9: 'Satori recommends optimizing the affected DLP rules — and shows exactly which ones change before anything is applied.' — Solid transparency value point, but 'recommends optimizing' undersells the outcome. The governance/control angle is not surfaced.","Step 10: 'One approval. Satori updates the rules and closes the grouped issue — one response to 31 findings.' — The strongest closing hotspot. The contrast between '1' and '31' lands well. Would score higher with a title like 'One action. 31 findings resolved.' followed by the current body.","Across all 9 hotspots, none use a distinct title-plus-body structure. This is the single biggest gap against marketing best practices — every hotspot would benefit from a 2-5 word hook followed by a concise supporting sentence."],"explanation":"The hotspot copy is largely functional and directionally correct — it avoids click-by-click instruction and stays outcome-oriented. However, nearly every hotspot reads as a plain declarative sentence rather than a structured title-plus-body hook, which reduces scannability and persuasive impact. Several hotspots bury the viewer benefit in the middle of the sentence rather than leading with it.","label":"Hotspot Copy Quality","score":62},{"benchmark":75,"category":"aspect-ratio-capture","details":["Steps 1–10: Captured at either 2880×1620 or 2560×1440, both resolving to 16:9 — visually consistent throughout the core demo flow","Step 11 (closing chapter): Captured at 1167×656, also 16:9 but at a significantly lower resolution than the rest of the demo — may appear softer or slightly mismatched compared to preceding high-resolution captures","No meaningful aspect ratio drift across content steps; the issue is isolated to the final chapter card which is a lower-stakes visual moment"],"explanation":"Almost all steps share a consistent 16:9 normalized aspect ratio. Step 11 is captured at a noticeably smaller native resolution (1167×656) compared to the 2880×1620 and 2560×1440 used elsewhere, which may result in a slightly softer visual on that closing chapter frame. The framing is otherwise cohesive.","label":"Visual Framing Consistency","score":82},{"benchmark":70,"category":"chapters-end-cta","details":["Chapter 1 ('Two DLP triggers. Which one matters?') — Strong framing. The two-character setup and the challenge statement are well-positioned to create viewer investment before the demo begins","Chapter 2 ('Meanwhile, in the Security Team…') — Functional transition but the description 'Here's how Proofpoint Satori makes that possible' is somewhat vague for a mid-demo chapter break. A brief value teaser would strengthen it.","Chapter 3 / End CTA ('Take the next step toward human-centric security') — The heading is a brand-level generic statement that does not connect back to the specific DLP narrative the viewer just completed. 'Get a closer look at solutions designed to protect your people' is broad and could apply to any Proofpoint product.","The 'Request a demo' CTA button is correctly linked to an external URL and opens in a new tab — technically well-configured","The global CTA ('Request demo') runs throughout the demo at step level — good distribution of conversion opportunities"],"explanation":"The demo uses chapters effectively as scene-setters and the end chapter includes an external CTA linked to a live demo request. However, the closing chapter copy is noticeably generic compared to the specificity of the story told in the demo, which weakens conversion momentum at the most critical moment.","label":"Chapters + End CTA Structure","score":78},{"benchmark":75,"category":"use-case-alignment","details":["The Emily/Ava contrast in steps 2–3 is an excellent marketing technique — it sets up the 'not all findings are equal' problem before presenting the solution","The demo follows a clear problem-to-resolution arc that maps directly to the stated intent: connect related activity, identify root cause, optimize policies","The analyst persona (Gordon Ryan) is well-developed and provides a consistent point of view throughout the product walk-through","The specific metrics shown (12 users, 31 findings, one approval) reinforce the value story and are consistent with a completion-focused marketing demo","Minor gap: The demo does not show a before/after time savings or effort comparison, which could sharpen the ROI angle for security buyers"],"explanation":"The demo is strongly aligned with its stated intent. The two-character narrative (Emily vs. Ava) is a highly effective structure for demonstrating context-aware DLP triage, and the demo successfully walks through detection, clustering, root-cause analysis, and policy optimization in a logical sequence.","label":"Use Case & Intent Alignment","score":84},{"benchmark":75,"category":"engagement-design","details":["AI voiceover is enabled on steps 1–10, with voice variety across two distinct voice IDs — this adds production value and maintains attention across the full runtime","Step 11 (closing chapter) has no voiceover — a missed opportunity to reinforce the CTA with a spoken prompt","Custom brand logo is active — consistent with the 96.8% branding benchmark for top-completing demos","Hotspot style is consistently 'Area' across all content steps — creates visual coherence and reduces cognitive load","Tip position varies appropriately (autostart, top, right) based on content location — thoughtful placement rather than default-only usage","No interactive branching or chapter navigation enabled — the linear structure suits this narrative demo, but branching could be valuable in a future version for audiences with different roles (analyst vs. manager)"],"explanation":"This demo demonstrates strong engagement design. AI voiceover is used across 10 of 11 steps with contextual narration that complements (rather than duplicates) hotspot copy, and custom branding is active. The consistent use of Area-style hotspots with autostart positioning on key steps creates a smooth viewing flow.","label":"Engagement Design","score":88}],"useCase":"marketing"},{"id":"cmtj3vsqe008tyt0j7ojixl9g","checklistProgress":[],"auditedDemoTitle":"Stop Treating DLP Findings as Isolated Events","auditedDemoUpdatedAt":"2026-09-01T19:50:40.274Z","benchmarkAverage":62,"checklistItems":[],"demoId":"cmtix59bp0004170ialkcz9vy","desiredIntent":"completion-focused","detectedLanguage":"en","featureKeys":["ai-text","chapters"],"intent":"See how Agentic DLP automatically connects related activity, identifies what's driving the risk, and reduces recurring risk by optimizing policies based on context.","model":"claude-sonnet-4-6","overallScore":74,"percentile":74,"promptVersion":"analysis-v1","recommendations":[{"description":"The closing chapter CTA button links to proofpoint.com/us (the homepage), while the global CTA correctly links to the dedicated free-demo-request page. This inconsistency may reduce conversion from viewers who click through at the end. Update the closing chapter button link to match the global CTA destination at proofpoint.com/us/free-demo-request to create a consistent conversion path.","id":"rec-3","priority":"medium","relatedSubscore":"chapters-end-cta","title":"Align the end CTA button link with the dedicated demo request URL"},{"description":"The closing chapter description — 'That's how Proofpoint Satori turns 31 scattered findings into one resolved issue — so your team investigates patterns, not individual alerts.' — is solid but could be made more visceral by referencing the analyst time saved or the scope of the pattern. Adding a concrete contrast like 'What would have taken hours of manual triage takes one approval' before the CTA button would sharpen the value proposition at the most critical conversion moment.","id":"rec-5","priority":"low","relatedSubscore":"chapters-end-cta","title":"Strengthen the closing chapter description with a specific outcome metric"}],"schemaVersion":1,"subscores":[{"benchmark":80,"category":"step-length","details":["12 total steps including 4 chapter/interstitial screens and 8 hotspot-bearing screens","Completion-focused benchmark is 10-12 steps — this demo hits the target precisely","The mid-demo gated form chapter (step 7) is a deliberate engagement checkpoint, which is appropriate for lead capture in a marketing context","No redundant or overly thin steps detected"],"explanation":"At 12 steps (including chapter/interstitial screens), this demo lands squarely in the hero demo sweet spot of 10-12 steps for completion-focused marketing demos. The pacing is tight and purposeful, with no obvious filler steps.","label":"Demo Step Length","score":90},{"benchmark":70,"category":"hotspot-copy-quality","details":["Step 2: 'An approved discovery matter. A printed contract with SSNs. DLP flags it — but is it risky?' — Strong fragmented hook style, sets up contrast well. Best-performing hotspot in the set.","Step 3: 'Same trigger, different story. This time, sensitive contracts go to a personal inbox — real data-loss risk.' — Good contrast callback, concise. Works well.","Step 5: 'Satori auto-closed this finding as Not an Issue, matching a regular business process with high confidence.' — Reads more like a status report than a value statement. No hook. Could lead with the outcome benefit, e.g., 'Zero analyst time wasted — Satori auto-closed this finding as Not an Issue.'","Step 6: 'Proofpoint links Ava's activity to related findings, surfacing one Data Loss Risk in Gordon's Action Queue.' — Accurate but flat. Missing a benefit-forward hook like 'One signal, not noise —'.","Step 8: 'One work item spans 12 users and 31 findings — all traced to personal-email data exfiltration.' — The stat is compelling but the structure buries the lead. Leading with the scale impact would sharpen this.","Step 9: 'Gordon asks Satori why. The cause: a cumbersome remote-access process employees route around with personal email.' — Narrative style works here; slightly instructional in framing but acceptable given the story-driven structure.","Step 10: 'Satori recommends optimizing the affected DLP rules — and shows exactly which ones change before anything is applied.' — Clarity is good; missing a value hook around risk control or confidence.","Step 11: 'One approval. Satori updates the rules and closes the grouped issue — one response to 31 findings.' — Best outcome-focused hotspot; punchy and results-oriented. Approaches ideal marketing copy.","No hotspot uses a formal title-plus-body structure; all are single-block sentences, which limits visual scanning and hook potential for marketing audiences"],"explanation":"The hotspot copy tells a coherent narrative and avoids procedural click instructions, which is appropriate for marketing. However, most hotspots use a single flat sentence rather than a distinct title-plus-body structure, limiting their hook power. Several hotspots communicate the right information but don't open with a sharp value hook before the supporting detail.","label":"Hotspot Copy Quality","score":62},{"benchmark":75,"category":"aspect-ratio-capture","details":["Steps 1, 2, 4–6, 8–12 captured at 2880x1620 (16:9)","Step 3 captured at 2560x1440 (16:9) — same normalized ratio, no framing issue","Chapter interstitial steps 7 and 12 show 1167x656, also resolving to 16:9 — consistent","Recommended capture resolution of 1280x800 or 1920x1080 is not used, but the 16:9 consistency is maintained across all steps","No aspect ratio mismatch detected that would cause jarring visual transitions"],"explanation":"All steps share a normalized aspect ratio of 16:9, indicating consistent visual framing throughout the demo. Two steps were captured at 2560x1440 versus the majority at 2880x1620, but both resolve to the same 16:9 ratio and should not cause visible inconsistency.","label":"Visual Framing Consistency","score":85},{"benchmark":70,"category":"chapters-end-cta","details":["Chapter 1 (step 1): 'Two DLP triggers. Which one matters?' — Strong, provocative hook that sets narrative tension effectively","Chapter 2 (step 4): 'Meanwhile, in the Security Team…' — Good narrative bridge; description is concise and sets up the analyst POV","Chapter 3 (step 7): Gated form chapter — 'Keep going to see the root cause' — Strategically placed at the narrative midpoint before the payoff reveal; good lead-capture placement","Chapter 4 (step 12): 'Stop treating findings as isolated events' — Closing chapter echoes the demo title well and reinforces the core message","End CTA button text 'Request a demo' is clear and action-oriented; link points to proofpoint.com/us which is a homepage rather than a dedicated demo request landing page — consider pointing directly to the free-demo-request URL used in the global CTA","Global CTA 'Request demo' is configured and consistent with the end CTA theme","Four chapters for a 12-step demo is appropriate; chapter usage aligns with the 49% completion-focused benchmark recommendation"],"explanation":"The demo uses chapters effectively to segment the narrative into three acts — setup, triage, and resolution — with a mid-demo lead capture gate. The end CTA is present and links to a relevant demo request page. Minor opportunity: the closing chapter description could be slightly more outcome-specific to reinforce the value proposition before the CTA.","label":"Chapters + End CTA Structure","score":78},{"benchmark":75,"category":"use-case-alignment","details":["Named personas (Emily Davis, Ava Johnson, Gordon Ryan) ground the story in relatable roles and create viewer identification","The contrast between a false-positive finding and a real data-loss risk is a strong 'aha moment' positioned early in the demo","The meta-description accurately previews the demo's value proposition and aligns with what is shown","The mid-demo form gate is correctly placed after establishing the problem and before the payoff, maximizing lead quality","The demo avoids procedural navigation detail in hotspots and focuses on outcomes — appropriate for marketing audiences","Step 9 leans slightly narrative/explanatory in hotspot tone, but this supports the story-driven structure rather than detracting from it"],"explanation":"The demo is strongly aligned with its marketing use case and completion-focused intent. It tells a concrete, scenario-driven story with named personas, real data patterns, and a clear before/after payoff — all hallmarks of effective marketing demo structure. The narrative arc from problem setup through analyst workflow to single-approval resolution is well-constructed.","label":"Use Case & Intent Alignment","score":82},{"benchmark":65,"category":"engagement-design","details":["AI voiceover enabled on steps 1–6 and 8–11 — strong adoption at 83% of steps","Custom brand logo and custom font are configured — meets the 96.8% branding benchmark","Chapter structure used across 4 narrative breakpoints — purposeful segmentation","All hotspot-bearing steps use Area-style hotspots with Next buttons — consistent affordance pattern","Mid-demo gated form chapter (step 7) adds engagement depth and lead capture without disrupting flow","No AI voiceover on the gated form step (step 7) and closing chapter (step 12) — adding narration to the closing chapter could reinforce the final value message before the CTA","No branching used — appropriate for a linear, story-driven marketing demo; branching is not needed here"],"explanation":"The demo makes strong use of AI voiceover (active on 10 of 12 steps), custom branding (logo and font), and a well-structured chapter narrative. The two interstitial steps without voiceover (the gated form and the closing chapter) are minor gaps but are understandable given their functional roles.","label":"Engagement Design","score":80}],"useCase":"marketing"}],"allowDuplicate":false,"allowExternalComments":false,"archived":false,"archivedAt":null,"authorId":"cmpfy5397008wtt0jj1f6c0sp","autoPlayDelay":500,"autoplay":true,"autoplayduration":3500,"backgroundId":null,"backgroundMusicUrl":null,"backgroundMusicVolume":50,"border":true,"brandLogo":"https://media.supademo.com/workspaces/cmqve1qwf0086w60jn4wdsesb/BSn62oWU2oQD8YSSnt6ml.png","captionsPosition":"Bottom","color":"bg-gray-200","config":null,"ctabtncolor":"#16de91","ctabtnlink":"https://www.proofpoint.com/us/free-demo-request","ctabtntext":"Request demo","ctabtntextcolor":"#022f2d","currentPublishedVersion":6,"customFontId":"P2nUvxIyLUjk00QP43V2x","customMetadataImage":null,"customizePerStep":false,"darkmode":false,"demoSource":"Duplicate","detectBrowserLanguage":true,"disableKeyboardNavigation":false,"displayAuthor":false,"displayDescription":false,"domainURL":"https://app.supademo.com","folderId":"cmqsk8ikc000uzv0kr1ordcjx","font":"Custom","fullWidth":false,"globalSettings":true,"hotspotAnimationVisible":true,"hotspotOpacity":100,"hotspotTextVisible":true,"indexable":true,"loop":false,"metadesc":"See how Proofpoint's Agentic DLP correlates activity, auto-closes low-risk findings, and recommends fixes — so analysts focus on real risk, not alert volume.","mobileHotspotView":true,"nextButton":true,"number":null,"progressbar":true,"published":true,"recordOwnVoice":false,"sendNotification":true,"shared":true,"showCCButton":true,"showFullscreenButton":true,"showPlayBar":false,"showReplayButton":true,"showSteps":true,"showSupademoLink":false,"showWatermark":null,"showplaypause":true,"sourceLanguage":"English","title":"Agentic DLP Interactive Product Demo | Proofpoint","topBar":false,"type":"Default","watermarkLink":null,"watermarkLogoUrl":null,"watermarkText":null,"workspaceId":"cmpfqihoh003syf0it0mfmshn","author":{"id":"cmpfy5397008wtt0jj1f6c0sp","name":"Hannah Vergara","image":null},"createdAt":"2026-09-01T17:06:01.717Z","updatedAt":"2026-10-05T16:27:46.224Z","workspace":{"id":"cmpfqihoh003syf0it0mfmshn","createdAt":"2026-05-21T16:58:13.889Z","updatedAt":"2026-09-18T22:05:39.111Z","name":"Proofpoint Production","voiceoverProvider":"ElevenLabs","color":"#ffffff","hotspottextcolor":"#022f2d","logo":"https://media.supademo.com/workspaces/cmpfqihoh003syf0it0mfmshn/4hqEmPDMGR6KB3uqbC-Xc.png","favicon":"https://media.supademo.com/workspaces/cmpfqihoh003syf0it0mfmshn/2bY7lYiK-XIntPhaPKwDw.png","publishRestricted":false,"madein":false,"watermarkLogoUrl":"https://media.supademo.com/workspaces/cmpfqihoh003syf0it0mfmshn/s_Qv1DT2gC6CPFWc7oNcZ.png","watermarkText":"Visit Proofpoint","watermarkLink":"https://www.proofpoint.com/us","sharepagebtntext":"Request demo","sharepagebtncolor":"#16de91","sharepagebtntextcolor":"#022f2d","sharepagebtnlink":"https://www.proofpoint.com/us/free-demo-request","autoplay":false,"autoplayduration":3000,"loop":false,"progressbar":true,"nextButton":true,"subDomain":null,"seoIndexable":false,"seoAuthor":false,"seoDescription":false,"showSteps":true,"font":"Custom","showSupademoLink":true,"showReplayButton":true,"showFullscreenButton":true,"introChapterId":"cmpfqihqt003wyf0i3abkpspn","ctaChapterId":"cmpfqihpk003tyf0iavvnym1d","hotspotNextBtn":true,"hotspotTextVisible":true,"hotspotAnimationVisible":true,"hotspotOpacity":"100","enableCreatorsToInvite":true,"topBar":false,"darkmode":false,"plan":"Enterprise","tourSetup":false,"inTrial":false,"customDomainEnabled":false,"trackingEnabled":false,"autoJoinTeam":true,"linkViewNotifications":true,"monthlyStatsEmail":true,"invoiceEmail":false,"customDomainLandingPage":"https://app.supademo.com","isDiscounted":false,"enterpriseId":"HcKxHuPukt3MzS5M","selectedCustomFontId":"P2nUvxIyLUjk00QP43V2x","backgroundMusicUrl":null,"hotspotNextBtnText":null,"hotspotBackBtnText":"","hotspotBorderRadius":"Sharp","hotspotWidth":"Large","hotspotBackdrop":"Dark","hotspotNextBtnBgColor":"#16de91","hotspotNextBtnTextColor":"#022f2d","hotspotNextBtnDisabled":false,"hotspotBackBtnBgColor":null,"hotspotBackBtnTextColor":"#022f2d","hotspotBackBtnDisabled":false,"enhanceWithAI":true,"demoVersioningEnabled":true,"integrations":[{"id":"cmqsd3n6n00092f0kgo925krc","createdAt":"2026-06-24T17:43:28.799Z","updatedAt":"2026-06-24T17:43:28.799Z","workspaceId":"cmpfqihoh003syf0it0mfmshn","platform":"GTM","enabled":true,"platformConfig":{"containerId":"GTM-K5V2CJVP"}}],"ctaChapter":{"id":"cmpfqihpk003tyf0iavvnym1d","createdAt":"2026-05-21T16:58:13.928Z","updatedAt":"2026-10-02T18:38:31.170Z","stepId":null,"workspaceId":null,"routeVersionId":null,"agentIntroVersionId":null,"enabled":true,"type":"Link","skip":false,"heading":"

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