Does the Dearborn Heights population prove that Local Service Ads will generate leads?+
No. The Census Bureau’s 2020–2024 ACS five-year estimate is 61,771 residents, with a margin of error of 55, and Dearborn Heights is recorded in Wayne County. That is geographic and population context only. It does not establish demand, competition, search volume, leads or revenue.
How are Local Service Ads different from regular pay-per-click ads?+
Bosseo’s public description distinguishes Local Service Ads by placement and pricing: the service is presented as appearing above regular ads and the map, with payment per lead rather than per click. Placement, eligibility and performance should still be evaluated rather than assumed.
What does Bosseo say is involved in Google Verified?+
Google’s checks vary by practice category and account; review the current identity, licensing, insurance and business-verification requirements that apply to your firm. Ask about the information required for your firm and avoid treating screening as a guarantee of rankings, inquiries or signed matters.
What counts as a junk lead for review?+
Bosseo’s public page gives examples including solicitors, wrong numbers, spam, out-of-area matters and wrong-practice inquiries. Your firm should agree on classification and documentation rules, then review questionable inquiries for possible review with Google.
Can Local Service Ads be limited to Dearborn Heights?+
Bosseo describes geographic targeting and service-area settings. The appropriate coverage depends on the program’s available settings and your firm’s actual capacity. Discuss whether a Dearborn Heights focus, Wayne County coverage or another service area accurately reflects where you accept matters.
What should we measure after an inquiry arrives?+
Track the stages that matter to your firm: inquiry, qualification, consultation and signed case. Bosseo describes lead attribution and an ROI Dashboard for connecting spend with consultations and signed cases. Confirm the available fields, ownership and reporting method before relying on the data.