




Stills from the four advertisements published in the campaign.
01 — Client Brief
Go Direct Paving wanted AI-generated video advertisements that could be produced and published quickly on Facebook to promote its paving services.
The campaign needed creative assets capable of generating local awareness, inquiries and potential customer leads.
The priority was speed: develop the concept, create the advertisements and get the campaign live as quickly as possible.
02 — My Role
I personally handled the creative production process — writing, generating, editing, publishing and managing the operational handoff once inquiries began arriving.
03 — The Production Workflow
Select a stage to see its owner, actions and exit criteria.
Understand what the advertisement needs to accomplish.
Exit criteria · Clear advertising objective established.
04 — Creative Development
04 — Real Campaign Videos
The four advertisements published in the campaign. Select any creative to play it.
All presenters shown are AI-generated creative concepts produced for this campaign. No real-person likeness, celebrity association or endorsement is implied.
06 — Why Multiple Versions?
Instead of relying on a single spokesperson, I intentionally produced several versions using different genders, age ranges and visual appearances.
The goal was to test different creative directions and observe which presentation style attracted stronger audience response.
| Presenter | Gender | Approx. Age | Visual Style | Creative Version | Campaign Status |
|---|---|---|---|---|---|
| Presenter A | Female | Approx. 25–35 | Friendly, straightforward | Creative 01 | Published |
| Presenter B | Female | Approx. 35–45 | Warm, conversational | Creative 02 | Published |
| Presenter C | Male | Approx. 30–45 | Direct, confident | Creative 03 | Published |
| Concept D | N/A | N/A | Attention-first experimental concept | Creative 04 | Published |
07 — Distribution Workflow
08 — Campaign Outcome
The advertisements generated regular incoming inquiries and leads through Facebook.
Because sales follow-up and booking were handled directly by the client, final conversion and revenue data were not available for this case study.
The campaign also ran during the winter season, so this project makes no assumptions about how many inquiries ultimately converted into paving jobs.
09 — What This Project Demonstrates
10 — Project Takeaway
The project was not simply about generating AI visuals. It required translating a business objective into a message, writing the advertising script, developing a visual concept, generating multiple creative directions, editing the final assets, publishing the campaign and managing the operational handoff once leads began arriving.