The revenue engine for home improvement services.

Work out the media plan by allocating spend across channels against the revenue goal

Look at market demand using advertising and search-volume data

Save a competitor ad reference library for creative development

Build a lookalike audience in the ad platform from a seed audience

Build a suppression audience from existing customer records

Work out the retargeting pool from site visits and prior exposure

Work out the exclusion rules for converted or ineligible users

Create multiple creative concepts from one marketing brief

Create ad copy tailored to each paid channel

Check each creative for consistency with its landing page and offer

Create a creative variant by changing one variable

Keep an eye on live creative for fatigue and winner-loser shifts

Shift spend to a winning creative once significance is cleared

Set up each campaign draft with objective, budget, bid, and placement settings

Check the campaign build in pre-launch QA for naming, budget, targeting, and tracking

Map each live campaign to the correct landing page

Keep an eye on each launch for publishing failures, disapprovals, and destination outages

Work out the bid for each auction target from conversion value and qualified-lead data

Keep pacing against each budget schedule using spend caps and guardrails

Manage each platform recommendation by approving, rejecting, or reverting it

Set up conversion flows for capture, qualification, and booking

Look at analytics, replays, surveys, and call outcomes to find conversion barriers

Check that landing-page content matches the intent of the traffic source

Work out the experiment design for a page variant, including audience, sample, and stopping rule

Look at experiment results to decide the next action

Roll out a winning variant with QA, analytics validation, and rollback readiness

Send a visitor to a landing-page variant using referral context and past behaviour

Set up a lead capture path that turns visits into identified prospects

Set up a booking path that writes self-serve appointments into the calendar

Set up call capture for inbound phone leads with source attribution

Move intake data between forms, CRM, calendar, and follow-up systems without re-entry

Score each prospect using declared, behavioral, and source signals

Send each sales-ready lead to the correct queue with qualification context attached

Verify call intent and outcome before counting a call as a qualified conversion

Put together an automated first response for each new inbound lead

Look at lost-deal patterns from CRM outcomes, calls, and meetings

Send qualified, suppression, and retargeting audiences from your systems to the ad platforms

Set up event tracking for customer actions across sites, forms, servers, and ad platforms

Stitch web, CRM, call, text, and email identifiers into one customer identity

Import offline conversions from CRM, calls, scheduling, and payments into the ad platforms

Score phone-call outcomes before sending them back for bidding and attribution

Work out the conversion value returned to the platforms from revenue, margin, or quality

Keep an eye on conversion-signal delivery for latency, match rate, and schema failures

Look at attributed outcomes by channel, campaign, keyword, ad, page, and message

Join marketing spend to verified downstream revenue

Keep an eye on a live dashboard of delivery, conversion, and revenue

Look at the path from impression to click, call, lead, appointment, and purchase

Find the conversion bottleneck using recordings, transcripts, booking rates, and CRM stage movement

Audit every AI-agent campaign change for compliance, quality, and impact

Join marketing, analytics, CRM, call, and finance records into one performance dataset

Answer an ad hoc question from the warehouse in SQL or plain language