User Story
As a Bright River operator, I want to see all my broker clients in one view with production stats and performance data, so I can quickly select a broker and start producing hooks without re-entering any information.
Why this exists
BR's current workflow is per-listing — every job starts from scratch. This dashboard reframes hook generation as an ongoing production operation with persistent broker profiles. When their contact sees this, he should think: "I can picture my team using this for 5,000 brokers." It mirrors how STREAM works — persistent client profiles, order management, production at scale.
KPI Design Decision
The header shows 4 metrics. Each is deliberately chosen:
47 Hooks This Week — signals volume. BR processes 40K+ images/day. Seeing a volume counter makes this feel like a production system, not a toy.
34s Avg Turnaround — their language. BR promises 24H turnaround for photos. We do 34 seconds. That contrast is visceral.
100% Brand Compliant — NOT "first-time-right." FTR for creative content is subjective and we can't guarantee it. Brand compliance means: the system never violated a guardrail. The broker DNA (Screen 2) defines what's allowed and blocked. 100% compliance is defensible because it's enforced by rules, not taste.
€2.30 Avg Cost — the margin killer. BR currently charges €3,500 per custom hook. That number sitting in the header does the selling without anyone saying a word. The BR contact will do the math: €2.30 × 5,000 brokers = margin machine.
Mockup — Production Dashboard What the operator sees
Broker Clients · 2 active · 47 hooks delivered
+ Add Broker
| Broker |
Brand |
Hooks |
Compliant |
Avg Views |
Trend |
|
|
|
32 |
100% |
8.4K |
↑ 23% |
Generate Hook → |
V Van der Berg Makelaars Traditional · Premium |
|
15 |
100% |
12.1K |
↑ 18% |
Generate Hook → |
Risk: Over-engineering the entry point
They might think: "We just asked for hooks. Why are they showing me a dashboard with KPIs and broker management?"
Mitigation: Thomas should frame this in the first 5 seconds: "This is what your production team would open every day." It's not a dashboard FOR them to analyze — it's a starting point to pick a broker and go. The KPIs are ambient context, not the point. If it feels too heavy, Thomas should click into Homey within 10 seconds and not linger.
Alternative if it doesn't land: We can strip the header KPIs and just show the broker table. The dashboard becomes a simple list view. Less impressive, but less risk of "you're building more than we asked for."
Risk: "We already have STREAM for this"
They might think: "We already manage our clients in STREAM. Why do we need another system?"
Mitigation: ReelForge is not replacing STREAM. It's a production tool that sits alongside it. STREAM handles photo editing orders. ReelForge handles hook generation. In the future, they could integrate (hook generation as a STREAM workflow), but for the POC it's standalone. Thomas should say: "This would plug into your existing workflow — your team already has the broker info in STREAM, we'd pull from that."
Table Column Decisions
Broker + DNA tags ("Modern · Mid-market") — shows the system has profiled each broker. Not just a name, but a classification that drives hook selection. When the premium broker shows "Traditional · Premium," the contact immediately gets that the same system produces different results.
Brand colors — visual proof that we've extracted the brand. Quick recognition for the operator.
Hooks count — production volume per broker. Signals ongoing relationship, not one-off.
Compliant (not FTR) — brand guardrails enforced. Defensible claim. See KPI annotation above.
Avg Views — this is the metric they've never had. BR tracks production quality (rework rate, on-time %). They have zero visibility into how content performs after delivery. Showing views per broker, casually in a table, is the "holy shit we've never tracked this" moment. Don't draw attention to it in the demo — let them notice it.
Trend ↑ 23% — the compounding data story. Performance improves over time as the system learns per broker. This is the optimization loop visualized as a simple arrow.
What the BR contact is thinking
"This looks like a production tool." Not a startup demo. Not a wizard. A system his team could use.
"€2.30... we charge €3,500..." He's doing the margin math. Don't say it for him.
"Avg Views? We don't track that." First time seeing downstream performance data on their hooks. Every hook they've ever delivered disappeared into the broker's feed. This table shows it coming back.
"Two brokers, different DNA tags." He sees Homey (Modern/Mid-market) next to Van der Berg (Traditional/Premium). Already imagining 5,000 rows. The question forming: "What happens when I click one?"
Demo script:
Thomas opens the app. Lets the header KPIs breathe for 2 seconds. Says nothing about the cost number.
"This is your production dashboard. Every broker in your system — brand identity, compliance, performance data. Your team opens this, picks a broker, generates a hook. Let me show you Homey."
Clicks Generate Hook → on the Homey row.
User Story
As a Bright River operator, I want to see a full intelligence profile for each broker — their brand identity, DNA, constraints, and performance history — so I can trust the system will produce the right hook without me having to specify everything manually each time.
Why this exists
This is the key differentiator from hiring a freelancer. A freelancer starts from zero every time. The production preset means the system has studied this broker — who they are, who they serve, how they communicate, what hook types fit, what's forbidden. Every hook produced is informed by this intelligence. It's like STREAM's pre-defined instructions (Amazon specs, Zalando specs) — but for creative strategy, not crop dimensions.
The three-column layout separates: Left = what we extracted (visual identity + production stats), Center = what we understood (brand intelligence — the star), Right = what we learned over time (performance + optimization data).
Design Decision: Brand Intelligence is the product
The center column — Brand Intelligence — is deliberately the largest. This IS the product. The hook video is the output, but the intelligence is why the output is good.
"Who they are" — narrative summary, not tags. Shows we deeply understood the brand, not just scraped colors.
"Target audience signal" — demographics, price segment, geography. Determines which hook formats resonate with their audience.
"Communication style" — tone tags + a voice description ("your friend who knows real estate"). This shapes the influencer's demeanor, voiceover tone, caption style.
"Hook approach rules" — ✓/✗/~ for each hook type with reasoning. This is prescriptive — the system uses these to filter and rank hooks. Cinematic ✗ means it's greyed out in Stage 3.
"Brand guardrails" — hard constraints the system never violates. This is HOW brand compliance stays at 100%.
Risk: "How did you get all this information?"
They might think: "This looks impressive but where did you actually get the brand DNA? You scraped the website for colors, sure — but how do you know their audience is 25-38 couples?"
Mitigation: Thomas should be transparent: "We extract the visual identity automatically from the website. The brand DNA comes from a combination of scraping + AI analysis of their content, positioning, and market segment. In production, the operator would review and refine this — just like your team reviews edited images in STREAM before approving." The one-time review is acceptable in their workflow. They already do it for photo editing specs.
For the demo: It's hardcoded. Don't pretend it was scraped live. Thomas can say: "We've pre-built these profiles for today's demo."
Risk: "This is too much detail — our operators won't read all this"
They might think: "My team processes thousands of listings. They won't sit and read a brand intelligence page."
Mitigation: The operator doesn't need to read it every time. It's set up once, reviewed once, then the system uses it automatically. The operator's daily flow is: open dashboard → click broker → upload property → get hook. The preset page is for onboarding and review, not for daily use. Thomas: "Your team sets this up once per broker. After that, it runs in the background."
Mockup — Broker Production Preset (Homey) One-time setup, then runs automatically
← Brokers / Homey
Generate Hook for Homey →
Visual Identity
Montserrat · Inter
Production
Hooks32
Brand Compliance100%
Turnaround34s
Cost / Hook€2.10
Brand Intelligence
Extracted from website + social + market data
Who they are
Homey is a modern, approachable real estate platform targeting first-time buyers and young families in mid-market Dutch suburban areas. They compete on transparency and ease of use — not prestige. Brand language emphasizes "making it easy" and "feeling at home."
Target audience signal
Primary demographic
25–38, couples, first home
Price segment
€250K–€500K listings
Geographic focus
Suburban Netherlands
Social presence
Instagram (active) · TikTok (new)
Communication style
WarmConversationalEmoji-friendlyCasual DutchQuestion-led hooks
Voice: "Your friend who happens to know real estate." Not authoritative. Not salesy.
Hook approach rules
✓AI Influencer — approachable persona, casual outfit, matches "friend" tone
✓Door Reveal — builds curiosity, works for suburban properties with clear front doors
✓Price Tag Reveal — "guess the price" fits their transparency positioning
✗Cinematic / Drone — too premium for brand, creates expectation mismatch
✗Luxury Reveal — contradicts mid-market identity
~Before/After — works for renovated properties only, conditional
Brand guardrails
⛔Never position as luxury or exclusive — undermines accessibility promise
⛔No high-fashion styling on influencer — keep casual, relatable
⚠️Dutch language only for voiceover — English captions OK for reach
Content Performance
Avg Views8.4K
Trend↑ 23%
Top HookDoor Reveal
Top Multiplier3.2x
Optimization
Door Reveal confirmed as top performer after 14 A/B comparisons.
Data Depth
At 100+ hooks → shifts to broker-optimized predictions
What the BR contact is thinking
"They understood our brokers." Seeing "Modern · Mid-market · Approachable" next to Homey — he knows that's accurate. The system got it right.
"Cinematic ✗ — yeah, that's right." He knows Homey wouldn't want drone shots. The fact that the system knows this too builds trust.
"Month 1: 4.2K → Month 3: 8.4K" — the optimization trajectory. He's thinking: "Our current hooks don't improve. They're static. This gets better."
"We don't have this on any of our 5,000 brokers." The brand intelligence profile is something they've never built. They have colors and logos in STREAM, but not audience analysis, communication style, hook approach rules. This is new.
Right Column: The Three Data Tiers
Content Performance (Tier 2) — avg views, trend, top hook. This is downstream data BR has never tracked. Every hook they've delivered disappeared into the broker's feed. Now it comes back.
Optimization trajectory (Tier 2 over time) — M1 → M2 → M3 shows the compounding data asset. This transforms the broker relationship from transactional (per-listing editing) to compounding (every hook makes the next one smarter).
Data Depth (Tier 3 — cold start) — three progress bars show where confidence comes from. Market data (high), cross-industry (medium), broker-specific (building). Honest about the cold start: "At 100+ hooks → shifts to broker-optimized predictions." This is transparent, not over-promising.
Demo script:
"When we onboard a broker, we build a brand intelligence profile. We know Homey serves first-time buyers, their tone is 'your friend who knows real estate.' Influencer hooks work — but she needs to feel relatable, not glamorous. Cinematic? That would hurt this brand. The system knows that before it generates a single frame."
Points to guardrails. "These are the hard rules. This is how brand compliance stays at 100%."
Points to performance. "After 32 hooks, Door Reveal is the confirmed winner. Month one: 4,200 views. Month three: 8,400. The system learns."
User Story
As a Bright River operator, I want to upload property assets for a pre-selected broker and have the system automatically analyze the property, recommend the best hook type, and let me override if needed — so I can produce hooks fast without making creative decisions from scratch.
Design Decision: 3 stages, not 5
The previous version had 5 sequential stages: Identify → Market Angles → Select Assets → Storyboard → Compose. From the Apr 1 sync:
Storyboard removed: Thomas said "the proof is all in the hook — the final product. If we do a stellar job there they could care less of what the storyboard was." Only valuable if interactive (swap elements). We don't offer that optionality, so cut it.
Compose removed: The creative brief + optimization meter was internal/technical. The operator doesn't care about the prompt — they care about the result.
Merged into 3: Upload (just property assets) → Creative Intelligence (property ID + market data + asset selection, shown simultaneously) → Hook Selection (the pricing table with recommendation). Each stage adds clear value. No filler.
Stage 1: Upload Listing
What changed from v1
Previously, this page had BOTH broker URL input AND property upload. Now the broker is already selected (from Screen 1 or 2). This page is purely: add the listing photos. The context bar at top reminds the operator which broker preset is active — "Producing for Homey · Modern · Mid-market · Influencer ✓ · Door Reveal preferred." Fast. No decisions to make here.
Button says "Start Production" — not "Generate Hook." Production language signals this is a system, not a toy. Mirrors how STREAM uses "Create Order."
Mockup — Stage 1: Upload Listing Only property assets — broker already selected
H
Producing for Homey · Modern · Mid-market · Influencer ✓ · Door Reveal preferred
Compliance 100% · Hooks 32
Add listing assets
Property photos and video for hook generation
📁
Drop property photos & videos
or click to browse
exterior
living
kitchen
hallway
bath
garden
Start Production →
Stage 2: Creative Intelligence
Why this is the value moment
This is where the system earns its keep. Three intelligence panels appear progressively (shimmer → reveal animation, like the agent is analyzing in real time). Each panel answers a question:
Property Analysis: "What is this property?" — categorization, feature detection with confidence scores. Shows the system understood the listing from photos alone.
Market Intelligence: "Which hook works best for this property type?" — performance multipliers from 2,400+ Dutch RE posts, plus examples of similar viral content. This is Tier 3 (cold start data) made visible. They think: "They have data we don't have."
Asset Selection: "Which photos should we use, and why?" — ties selected assets to the hook sequence with reasoning. Shows every decision is justified, not random.
The brand DNA from Screen 2 flows through all three panels. The "Brand match" note at bottom of Asset Selection ties it back explicitly.
Risk: "Is this data real?"
They might think: "2,400+ Dutch RE social posts — where did that come from? Is that number real?"
Mitigation: For the demo it's hardcoded. Thomas should be upfront: "We've been building a dataset of Dutch real estate social content. The numbers you see here are based on our research — in the full build, this feeds from a live pipeline." Don't claim the data pipeline is production-ready. Chicote's research backs the direction but the pipeline is rough.
The honest framing: The market intelligence stage demonstrates the approach and the type of data. The specific numbers are illustrative. The system architecture is real — the dataset needs depth.
Mockup — Stage 2: Creative Intelligence Three panels, revealed progressively with shimmer animation
Property Analysis
Suburban Family Home
Modern Renovation · Mid-to-High Range
Open-Plan Kitchen97%
South-Facing Garden92%
Modern Renovation91%
Double-Height Windows88%
Kitchen is #1 engagement driver. Garden creates emotional payoff for reveal sequences.
Market Intelligence
Hook performance for this type
Similar viral posts
Door reveal · suburban · @homestyle_nl24.1K
Door reveal · family · @makelaarsdam18.7K
Based on 2,400+ Dutch RE social posts · Q1 2026
Asset Selection
3 assets matched to Door Reveal
kitchen
Hero Shot
#1 engagement driver for this segment
garden
Emotional Payoff
South-facing garden → "wow" moment
exterior
Establishing Shot
Front door anchors Door Reveal hook
Brand match: Homey's approachable tone + suburban property + clear front door = ideal Door Reveal.
Stage 3: Hook Selection
Design Decision: Pricing table layout
Thomas specifically asked for this: "I basically want to have it's kind of like a magic box where they just tell us what they need and then we do the magic... if they want to overrule be my guess but we will see back in the data." And: "It's like price tables like when you have this recommended sort of outline."
Each hook card shows three scores: Performance (market data multiplier), Brand fit (how well it matches the DNA), Property fit (how suitable it is for this listing type). The "Recommended" badge is data-driven, not arbitrary.
Critical UX detail: Cinematic is greyed out (opacity 0.45) with a red guardrail message. This is the brand DNA in action — the system refuses to produce something that violates the broker's positioning. This is how brand compliance stays at 100%. The operator CAN'T accidentally pick the wrong hook type for this brand.
Risk: "We only have 1-2 actual hook videos"
Reality: We currently have the door reveal video, and Thomas may have generated a second hook overnight. Showing 4 hook type cards when we can only play 1-2 actual videos creates a gap.
Mitigation: The pricing table shows the recommendation and options. When Thomas clicks "Generate Door Reveal →" it produces the actual video we have. The other cards are visible but Thomas doesn't click them — he says: "We recommend Door Reveal for Homey. The other options are available but the data says this one." The optionality is demonstrated without needing to generate every variant.
Risk: "What if I want a hook type that isn't listed?"
They might think: "Our clients want something custom — what if their idea isn't one of these four templates?"
Mitigation: Thomas: "These are the hook patterns with proven market data. We can add new patterns as we validate them — the system learns which patterns perform for which property types. The library grows with every hook published." Frame it as an expanding library, not a fixed menu.
Mockup — Stage 3: Hook Selection Pricing table with recommendation + brand guardrails
Recommended
🚪
Door Reveal
AI influencer opens branded door → property revealed
Performance3.2x
Brand fit●●●●○
Property fit●●●●●
💰
Price Tag
"Guess the price" — sign in garden reveals price
Performance2.4x
Brand fit●●●●○
Property fit●●●○○
🔄
Before/After
Split-screen transformation
Performance2.1x
Brand fit●●●○○
Property fit●●○○○
⚠ Best for renovated properties — this one is already modern
🎬
Cinematic
Drone + slow motion luxury reveal
Performance1.8x
Brand fit●○○○○
Property fit●●●○○
✗ Brand guardrail: too premium for Homey
Generate Door Reveal →
What the BR contact is thinking after Stage 3
"It recommended Door Reveal and I can see exactly why." — 3.2x performance, high brand fit, high property fit. Not arbitrary.
"It blocked Cinematic for Homey." — That's correct. The system made the right call. Trust is building.
"What happens with the premium broker?" — He's already imagining the second demo. Same system, different intelligence. That's the scalability proof.
"This is more than video generation." — He came expecting hooks. He's seeing a creative intelligence system. The question shifts from "can you make hooks" to "can you make this work at our scale."
Demo script (full Stage 3):
"Here's the recommendation. Door Reveal — 3.2x average performance, high brand fit, high property fit. Notice Cinematic is greyed out — the system knows that's wrong for Homey's positioning. The operator can pick any available option, but the data says Door Reveal."
Clicks Generate Door Reveal →
User Story
As a Bright River operator, I want to see the generated hook with clear production metrics and expected performance data, adjust parameters with visible trade-offs, and export a complete delivery package (video + brief) that I can hand to the broker.
Critical Design Decision: Honest KPI Split
The metrics panel is deliberately split into two sections with a visible divider:
Left: "Production Quality" — Brand Compliant (100%), Turnaround (34s), Cost (€2.10), Guardrail Violations (0). These are defensible claims. Brand compliance is enforced by rules. Turnaround is measurable. Cost is calculable. These mirror BR's own KPIs (99.4% FTR, 24H turnaround, rework rate).
Right: "Expected Performance" — Views (3.2x), Retention (67%), Brand Recall (+41%), Data Points (2,400+). These are labeled "Based on market benchmarks" — explicitly not guaranteed. They're predictions from research data, not measured outcomes from this specific hook.
Why the split matters: We originally showed a single FTR number (99.2%) which borrowed BR's metric and applied it to creative work — dishonest. Creative acceptance is subjective. Brand compliance is objective. By splitting, we're honest about what we guarantee (production quality) and what we project (performance). BR respects this — they're metric-first people. They'll see through inflated claims but respect transparent ones.
The Sleeper Hit: Delivery Package
The export isn't just an MP4 file. It's a package: hook video + performance brief + selected assets. This is the element that amplifies Bright River's value offer to their broker clients.
When the operator hands the broker a performance brief that says "This hook was selected based on 2,400 data points, optimized for your brand DNA, expected 3.2x vs standard" — the broker sees a company that's data-driven, not just creative. It makes BR look like the smartest production partner in the market.
This is not something BR asked for. But it's something that makes their existing sales motion stronger. Their CTA is "let's talk numbers" — now they have numbers to talk about for video hooks too.
Risk: "The hook video quality isn't great"
Reality: Thomas acknowledged AI video quality is uncertain. Higgs Field hallucinates on complex scenes. The door reveal works for standalone houses but covers ~5% of inventory. Apartments and connected houses are unproven.
Mitigation: The intelligence around the hook (rationale, metrics, trade-offs, delivery package) is deliberately rich to compensate. Even if the hook itself is imperfect, the system's reasoning is impressive. Thomas: "The creative quality will improve as AI video tools mature. What doesn't change is the intelligence layer — the brand DNA, the data-backed selection, the optimization loop. That's the system. The hook generation is the output layer that improves."
Be honest: If they say "the video quality isn't there yet," don't fight it. Agree and pivot to what IS strong: the intelligence, the data, the brand compliance, the optimization trajectory.
Risk: "These trade-off numbers look made up"
They might think: "+41% brand recall" and "-12% watch-through" — where do these come from?
Mitigation: For the demo, these are illustrative. Thomas should not claim precision: "These trade-off signals come from our market research. The exact numbers will calibrate as we produce more hooks and capture real performance data. The point is: the system doesn't just let you adjust — it tells you what you're trading." The concept (informed trade-offs) is the sell, not the specific percentages.
Mockup — Hook Reveal + Delivery Package Split KPIs + data-backed adjustments + export
↓ Export Package
↻ New Variation
Expected Performance
Based on market benchmarks
Creative Rationale
Door Reveal for suburban family home with Homey's approachable, mid-market positioning. AI influencer dressed casually in Homey green. Kitchen as hero shot (#1 engagement driver). Garden as emotional payoff.
Brand-matchedProperty-optimizedData-backed
Adjustments
Each shows predicted trade-off.
More brand presence
Larger logo, brand overlay
+41% brand recall
-12% watch-through
Add voiceover
Dutch AI narration
+28% engagement
+€0.40 cost
Slower reveal
3s → 5s before door opens
+8% curiosity
-22% scroll retention
Delivery Package
What the broker receives
Export includes the hook video plus a performance brief the operator hands to the broker — making Bright River look data-driven.
🎬
Hook Video
MP4 · 9:16 · 3s
📊
Performance Brief
Why this hook · metrics · brand match
🖼️
Selected Assets
Hero shots used
What the BR contact is thinking
"€2.10... we charge €3,500 for this." — The margin story hits hardest here, in context of a finished product. Not abstract anymore — it's a real hook for a real broker at that cost.
"Production Quality vs Expected Performance — that's honest." — They're metric-first people. The split tells them we're not bullshitting. We guarantee what's measurable, we project what's data-backed. That builds more trust than inflating a single number.
"The delivery package... we could hand this to our brokers." — This is the moment it shifts from "cool demo" to "I can see how this works in our business." The performance brief makes THEM look data-driven to THEIR clients.
"What about the second broker?" — He's ready for the brand translation demo. That's when Thomas goes back and runs Van der Berg.
The Delivery Package — What the Broker Actually Receives
How this fits into BR's current value offer
Today, BR's delivery is purely assets:
Photographer uploads raw photos → BR edits them → delivers polished photos back via STREAM. The broker gets their images and that's it. No explanation. No context. No "here's why we cropped it this way." Just files.
Their delivery flow:
Raw assets → STREAM → Polished assets → Broker downloads → Published to Funda/website
ReelForge adds a new layer to this delivery:
Property assets → ReelForge → Hook video + Performance Brief + Selected Assets → Operator delivers to broker
The performance brief is the differentiator. It transforms the delivery from "here's your content" to "here's your content, here's why it's optimized for your brand, and here's what we expect it to do."
This matters because:
1. It makes the €3,500 (or whatever they charge) feel justified — the broker sees intelligence, not just a video file
2. It creates a recurring conversation — "last month your hooks averaged 8.4K views, up 23% from the previous month" is a retention mechanism
3. It makes BR look like a creative intelligence partner, not just a production shop — exactly the positioning upgrade they need against AI disruption
4. It mirrors their existing language — "let's talk numbers" is literally their section header on bright-river.com. Now they have numbers for video hooks too.
Mockup — Delivery Package Preview What the operator exports and hands to the broker
H
Hook Delivery — Homey
Suburban Family Home · Kerkstraat 42, Haarlem · April 2, 2026
Produced by Bright River
Powered by ReelForge
Package Contents
hook-homey-kerkstraat42.mp4
2.4 MB
performance-brief.pdf
148 KB
selected-assets.zip
8.1 MB
Performance Brief
Preview — exported as PDF
Hook Summary
Property
Suburban Family Home
Why This Hook
Door Reveal was selected for this suburban family home based on Homey's brand positioning (approachable, mid-market) and market performance data. This hook type averages 3.2x more views than standard property intros for Dutch suburban listings. The AI influencer is styled to match Homey's "your friend who knows real estate" tone — casual, relatable, dressed in brand-matching green.
Expected Performance
Based on analysis of 2,400+ Dutch real estate social posts · Q1 2026
Brand Match
✓Logo integrated into influencer styling (green accent clothing)
✓Brand colors applied to door frame overlay and text elements
✓Tone matches "approachable, casual" — influencer styled as relatable, not glamorous
✓No luxury positioning — consistent with mid-market brand identity
Property Features Highlighted
Open-Plan Kitchen (hero shot)
South-Facing Garden (reveal moment)
Modern Renovation (positioning)
Optimization Note
This is hook #33 for Homey. Door Reveal has been confirmed as the top-performing hook type for this broker after 14 A/B comparisons. Average views have increased from 4,200 (month 1) to 8,400 (month 3) as the system optimized for Homey's audience. Performance is expected to continue improving with each published hook.
How this changes the broker relationship
Before ReelForge — BR's delivery to broker:
"Here are your edited photos. Here's your floor plan. Here's your video." → Broker publishes. No feedback loop. No performance data. Relationship is transactional: per-listing, per-delivery.
With ReelForge — BR's delivery to broker:
"Here's your hook, here's why we chose this approach for your brand, here's what we expect it to do, and here's how your hooks are performing month over month." → Broker sees a data-driven partner, not just a production shop.
What this enables for BR:
1. Higher perceived value — the performance brief justifies premium pricing. The broker is paying for intelligence, not just a video file.
2. Monthly performance reviews — BR already does monthly KPI reporting for photo editing (rework rate, on-time %). Now they add hook performance metrics. Same cadence, new data. Broker is locked in.
3. Upsell opportunity — "Your Door Reveal hooks are averaging 8.4K views. We think we can push that to 12K with voiceover narration. Want to try it for your next 5 listings?" That's a conversation BR has never been able to have.
4. Competitive moat — if a broker considers switching to a freelancer, the freelancer can make a video but can't deliver a performance brief backed by 2,400 data points and 32 hooks of broker-specific history. The data is the lock-in.
Risk: "This is more than we asked for — we just want the video"
They might think: "Our operators deliver video files. They're not going to create performance reports."
Mitigation: The performance brief is auto-generated — the operator clicks "Export Package" and the PDF is created automatically from the data already in the system. Zero extra work. Thomas: "Your operator doesn't write this. The system generates it. They click export, they get the video plus the brief. It's one click."
If they still push back: The brief is optional. They can export just the MP4. But once a broker sees the brief and asks "where did this come from?" — that's the conversation starter for the premium tier.
Demo script:
"There's the hook. But look at the metrics." Points to split KPI panel.
"Left side: production quality. 100% brand compliant, 34 seconds, two euros ten. That's what used to cost 3,500. Right side: expected performance based on 2,400 data points. 3.2x views, 67% retention lift. This is data you've never had on your hooks before."
Points to adjustments. "Every option shows the trade-off. More brand = better recall but lower watch-through. The operator makes an informed call."
Points to delivery package. "The broker doesn't just get a video. They get a performance brief — why this hook, what it's optimized for. Your team hands that over and they see a company that's data-driven, not just creative."
Power move: "Now let me show you the same flow for a completely different broker." Goes back, runs the premium red broker. Cinematic is now recommended, influencer dimmed. Same system, different intelligence.