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So do our clients -
on camera.

Brand spend and creator subscriptions lived in two systems that never synced, so month-end billing ran off a spreadsheet while four dashboards calculated revenue four different ways. Chloe built a custom integration connecting the two systems, automated the monthly reconciliation including refunds, and sorted 20,000+ contacts by role - down to one number every dashboard reports the same way. 

Weekly volume spiked and crashed with no clear cause, and Meta ads kept charging roughly $5 a lead regardless of spend. Chloe broke the account down by audience and creative pairing, cut the combinations spending budget without converting, and rebuilt targeting around what actually worked - cost dropped to $1.80 in week one and has held near $1.70 since. 

Between a site visit and a signed contract, deals could stall for weeks with no stage flagging it and no owner assigned to the next move. Chloe mapped every buyer role, stage gate, and handoff before writing a single pipeline stage, then deployed 20+ automations to catch progression at the exact points where $1M+ contracts were going dark. 

Deal history sat in a spreadsheet, leads and real deals shared the same stage, and a Sales Workspace bug hid tasks from the reps who owned them. Chloe migrated the pipeline into HubSpot, split leads from deals across five defined stages, fixed the bug, and built a 3-trigger automation that turns a Fathom meeting note into a deduplicated, assigned project in about 15 minutes. 

Each agency ran its own domain and tracking inside the same HubSpot instance, with no shared reporting layer to check performance against. Chloe built a custom VCRM-to-HubSpot integration syncing trip IDs, reservation IDs, and guest data across all 20 brands - one instance, no data crossing wires. 

Two distinct buyer types - small business owners and mortgage brokers - and nothing built to reach either one, let alone catch a lead if one showed up. Chloe defined the ICP for each segment, built LinkedIn outreach specific to it, and stood up the HubSpot pipeline to receive it - then layered paid ads, content, and email on that same foundation, cutting cost per acquisition 68% to CA$128.70 while conversion hit 10.4%.

Deals sat in JobNimbus, invoices sat in QuickBooks, and pre-sales optimism padded the forecast with no split between a real deal and a hopeful one. Chloe migrated 343 contacts into HubSpot, built 3 workflows and 5 automations, and gated forecast value to sales-stage deals - so a signed quote becomes the invoice, synced automatically through Zapier.

Revenue was coming in, but nobody could tell which vouchers were pending or which leads had gone cold. Chloe built a HubSpot CRM with 1–100 lead scoring, deduplicated contacts arriving from different email addresses, and auto-calculated deal value from coaching hours times hourly rate - then automated the entire webinar operation, splitting no-shows from attendees at 100% accuracy. 

16 sub-industries meant 16 separate PDF applications, each running 100–200 fields, all processed by hand while 70,000 contacts sat idle in a disconnected system. Chloe connected JotForm, HubSpot, and EasyLinks so every application qualifies and routes itself on submission, carrier leads auto-create contacts, and renewal follow-ups fire automatically at 30, 60, and 90 days. 

Guesty ran day-to-day operations, HubSpot held commercial data, and neither reflected what the other showed - no shared view of revenue, rep performance, or business health. Chloe integrated Guesty directly with HubSpot into one source of truth, then built 3 dashboards on top of it, including a revenue-by-rep view the team had never had. 

Their ideal clients were high-revenue Amazon sellers already skeptical of agencies and buried in cold pitches, with no system to reach them without hours of manual digging. Chloe built prospect identification by revenue signal and outreach written for an audience that ignores generic pitches - 3–5 qualified calls booked in 30 days, all $3M+/month sellers, including the biggest retainer in BetterAMS history at $5K–$6K/month.