The new CRO lead owns the traffic-to-lead journey, and the pricing page is its most valuable step. As delivered, before scripts run, its main heading reads "Pricing built for your Other business", every plan card carries "$XX /mo" placeholders beside the real prices, and three different offers ($53, $163 and $690 off) compete on one screen. That is the version search engines, AI assistants and any slow phone read first. Real mobile visitors also rate it slow: the page takes 3.75s to show its main content, 2.2s just to start responding, and 310 ms to react to a tap.
First action
Load /pricing/ with JavaScript off and list every placeholder and fallback text.
How to measure it
Pricing-page trial starts
- Now
- –
- Target
- +15%
- By
- 60 days
Steps
Audit the delivered page
Scripts off: list placeholders, fallbacks and duplicate offers.
Senior Manager, Conversion Rate Optimization 1 day
Neutral defaults
Heading and price cards that read correctly before personalization.
Web Engineering Lead 2 days
One offer at a time
Show a single discount per visitor, set by the experiment.
Senior Manager, Conversion Rate Optimization 2 days
Cache the page
Edge caching to bring first byte under 0.8s.
Web Engineering Lead 3 days
Trim scripts
Remove or defer the unused 1.1 MB of JavaScript.
Web Engineering Lead 1 week
Run the test
New page vs current, trials and demos as the goal.
Senior Manager, Conversion Rate Optimization 3 weeks
Check how assistants quote it
Ask five AI assistants for Housecall Pro pricing before and after.
Senior Product Marketing Manager I (VoC and Competitive Intelligence) 1 day
Roll out
Apply the same defaults to industry and comparison pages.
Web Engineering Lead 2 weeks
Why it works
Make the server-rendered page complete on its own: a neutral heading ("Plans for every trade, from solo Pros to 100+ techs") that the trade quiz personalizes afterwards, real prices instead of "$XX", and one offer per visitor chosen by the experiment, not three. Then cut the response time (cache the page at the edge) and remove the 1.1 MB of unused JavaScript. Run it as the first A/B test of the new program, measured on trial starts and booked demos.
Pricing visitors are the closest to buying. A page that reads correctly without scripts, shows one clear offer and responds fast removes doubt at the exact moment a Pro is deciding, and fixes how assistants quote Housecall Pro's prices.
Ready to use
ChecklistPricing page delivered-HTML checklist
[ ] Heading reads correctly with no trade selected [ ] No "$XX" or other placeholders in the HTML [ ] One offer per visitor [ ] Real plan prices in the HTML (Basic, Essentials, Max) [ ] Time to first byte under 0.8s on mobile [ ] Unused JavaScript removed or deferred [ ] Same checks on industry and comparison pages
Risks and how to handle them
Personalization tests lose their default
Keep personalization, but make the default text real and neutral.
Removing offers lowers sign-ups
Test the single-offer version against the current one before rolling out.
Evidence
- Your websitePricing page as delivered (the HTML that search engines and AI assistants read before scripts run, checked October 21, 2026): the main heading reads "Pricing built for your Other business"; each plan card shows "$XX /mo" placeholders next to the real prices; three different offers appear together ("Sign up today and save $53", "Sign up today and save $163", "Book demo today and save $690"). Plans: Basic $59/mo billed annually ($79 monthly), Essentials $149 ($189), Max $299 ($329, "$35/mo per additional user"); a plan quiz asks industry, team size and goals.Source
- Google PageSpeedPricing page on mobile: real visitors are rated "slow": LCP 3.75s, INP 310 ms and time to first byte 2.2s at the 75th percentile (limits 2.5s and 200 ms). Lab score 32/100, 4.8 MB downloaded, about 1.1 MB of unused JavaScript, 1,410 ms of blocking time.Source
- HiringSenior Manager, Conversion Rate Optimization (posted September 29, 2026): leads "the effectiveness of HCP's digital traffic-to-lead journey", improving "both lead volume and lead quality across channels, audiences, and service verticals"; runs "A/B and multivariate experiments across landing pages, forms, messaging, calls-to-action, site architecture"; drives improvements to "navigation, site performance, trust signals, form experiences, personalization, mobile journeys".Source
- HiringProduct hiring: a Vice President, Pricing & Monetization (a "repeatable pricing lifecycle" and "customer segmentation frameworks"); a Senior Staff Product Manager (Estimates) for "the templates, pricing, and estimate workflows that Pros use to win and price jobs"; a Product Manager II (Recurring Jobs + Service Plans) for "more predictable revenue"; a Senior Product Manager I (Applied AI); and a Vice President, Product Management (Enterprise) for "Franchise, Private Equity Roll Up, and Multi-location organizations".Source