Xect AI scores each serviceable address for buy, upgrade and referral likelihood using neighbor activation, website address checks, hub penetration and segment data, then rolls those scores into one ranked Location Score. The ranked list feeds door-to-door, digital and care outreach, subject to consent and do-not-contact rules.
A door-to-door route drawn from a hub map and a supervisor's memory looks the same whether the block is full of engaged prospects or already canvassed twice this quarter. The signals that actually predict who answers — a neighbor's install, an address check on the website, a hub nearing full penetration — sit in systems the field never sees. Xect AI turns those signals into one location score per address and routes the ranked list to whichever channel reaches that household next.
Location intelligence tracks drop exists, lit ONT, neighbor active, RFS date, hub penetration and address checks for every serviceable address.
A model scores propensity to buy, upgrade or refer, and rolls the signals into a single Location Score per address.
The ranked list generates D2D routes, digital audiences and care upsell prompts from the same score, at the same time.
Conversions, declines and no-answers feed back into the model, which retrains on a schedule instead of drifting silently.
Each agent owns one step in the signal-to-route path above and hands its output to the next.
Turns address-level activity into one location record
Watches drop exists, lit ONT status, neighbor activations, RFS dates, hub penetration and website address checks for every serviceable address, and keeps one location record current as each event arrives.
Scores buy, upgrade and refer likelihood per address
Reads the location record and scores buy, upgrade and refer likelihood separately, then rolls the three into a single Location Score that ranks the address, re-scoring it the moment a new signal, like an address check or a neighbor's install, arrives.
Turns the ranked list into routes, audiences and prompts
Takes the ranked list and generates the D2D route, the digital audience and the care upsell prompt from the same score, enforcing consent and do-not-contact rules before anything ships, then sends results back to retrain the model.
Drop status, ONT state, neighbor activity, hub penetration and web behavior combine into one Location Score.
A prospect checking availability on the website re-scores that address and reaches sales before the visit ends.
Each deployment measures a ranked route against a standard, unranked route on the same footprint and reports incremental conversion, not just who answered the door.
Sales, marketing and network planning read the same ranked addresses instead of three separate target lists.
The best next household is already on the map.
When a hub reaches RFS, Xect AI ranks every address in the build zone so D2D walks the highest-propensity homes first, not the whole footprint at once.
See the industry pageWhen a field rep logs a sighting of a competitor's fiber crew on a street, Xect AI raises the propensity score on every address on that street so retention outreach starts before the competitor's install.
Talk to us about cable & MSOWhen a household's usage pattern fits a demand-response or solar profile, Xect AI ranks it for the program most likely to convert, before the campaign is even scheduled.
Talk to us about utilitiesWhen a policyholder's household profile matches an underinsured segment, Xect AI ranks the cross-sell so the agent's next call targets the highest-propensity household, not the full book.
See the industry pageWhen a neighborhood shows a cluster of recent service calls, Xect AI ranks the surrounding addresses for the next maintenance or upgrade offer, before the truck rolls back out.
Talk to us about home servicesOwns the door-to-door channel's conversion rate, and needs each rep's route weighted toward the highest-propensity addresses, not just the next street on the hub map.
Owns the digital and upgrade campaigns, and needs audiences built from live propensity instead of a blast to the entire base.
Owns hub-level build and penetration targets, and needs to see which hubs are stalling on penetration and fallout before the next build cycle is planned.
Owns the propensity model's accuracy, and needs conversions, declines and no-answers feeding straight back into retraining, with every version traceable.
Book a 30-minute demo and see your addresses scored and routed on the map.