Who is the client?

BIGVU is an AI video marketing platform used by more than 12 million users across 70 countries. The platform covers the full video creation workflow, from AI scriptwriting and teleprompter recording to automated editing, AI avatars, video email, and social media scheduling, all from a single interface on web and mobile. With over a decade in the market, BIGVU serves marketers, sales teams, coaches, and content creators who need to build trust and authority through video at scale.

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How the client met us

BIGVU's CEO connected with David through a direct conversation. Impressed by the meeting, he connected Donna, VP of Marketing, with the team to begin the engagement.

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Context

BIGVU had built strong inbound traction through paid advertising and referrals. With 12 million users already on the platform, the next growth stage required opening a new acquisition channel entirely. The decision was made to build a structured outbound motion, one that could generate a consistent flow of qualified leads, personalised at scale, and targeted at a specific vertical where BIGVU had clear product fit.

The real estate vertical was identified as the priority target. Agents and brokers were already a strong ICP for BIGVU's video tools, and the vertical offered rich, publicly available signals that could power highly relevant, personalised outreach.

The objective was to go from zero outbound to a scalable, repeatable system, with message-market fit confirmed before any volume was committed.

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What was the problem?

- No outbound infrastructure in place: BIGVU had grown entirely through inbound channels. There was no sending setup, no lead sourcing process, and no outbound motion of any kind.

- Personalisation required, not generic outreach: As a brand built on video and trust, BIGVU needed outreach that felt relevant and useful to each prospect. Protecting brand reputation meant every touchpoint had to reflect genuine value, not volume.

- No proven message before scaling: Before any scaling decision could be made, the team needed to identify which hooks and value propositions resonated with real estate professionals. Scaling before that validation would have meant committing volume to an unproven message.

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The approach we took

1. Strategy and ICP definition

- Defined real estate agents and brokers as the primary ICP based on product fit and data availability
- Built the outreach angle around BIGVU's core value for this audience: building trust, presence, and authority through video in a competitive market
- Structured the system to run at low volume for message validation before any scaling decision was made
- Set a clear threshold: reach a consistent flow of one positive reply per day as proof of message-market fit before increasing volume

2. Data enrichment and ABM targeting

- Scraped Zillow to identify active real estate agents and brokers with live listings
- Layered additional signals per prospect including YouTube presence, LinkedIn profile, Instagram activity, and podcast appearances, covering anything publicly available that indicated how they showed up online
- Fed all signals into Clay and deployed Claygent to process each prospect's digital footprint and generate a unique, context-specific message per contact
- Every email referenced the prospect's actual Zillow presence and spoke directly to their situation as a real estate professional

3. Channel and infrastructure setup

- Built the email sending infrastructure through EmailBison to support controlled volume with strong deliverability
- Configured SPF, DKIM, and DMARC across all sending domains
- Deployed Heyreach to run LinkedIn outreach in parallel with email sequences
- Implemented a custom Monday.com integration as the CRM layer, creating contacts, companies, and a full timeline for every prospect that entered the system

4. Structured testing and scaling

- Launched at deliberately low volume to validate message-market fit before committing to scale
- Monitored reply rates and lead quality week over week to identify which angles and hooks were performing
- Once a consistent flow of approximately one positive reply per day was confirmed, the scaling decision was made
- Volume was increased fivefold, from approximately one positive per day to five per day, bringing the system to 25 qualified positive replies per week on average|
- Continued iterating on messaging throughout, with positive reply rates improving week over week as the strongest-performing hooks were identified and scaled

5. CRM integration and pipeline tracking

- All positive replies were routed into Monday.com with full conversation context
- Contacts, companies, and interaction timelines were created automatically for every engaged prospect
- The sales team received immediate visibility on positive responses for fast follow-up
- Reporting was reviewed week over week to monitor reply rate trends and volume progression, giving full visibility from send to qualified conversation

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Results

- Reached 25 positive replies per week on average at full scale
- Achieved a 1.3–1.4% positive reply rate
- Scaled volume 5x after message-market fit was confirmed, from approximately one positive per day to five per day
- Built a sending capacity of 40,000 emails per month
- Generated a consistent pipeline of hyper-targeted, ICP-matched leads, with the majority of replies fitting BIGVU's ICP
- Every lead sourced against real Zillow listings and personalised around each prospect's actual online presence