forSafe Stop
Paid Media Report · Last 30 days

567 reservations, $16,051.

Over the last 30 days, paid media drove 1,446 booking starts and 567 completed reservations worth $16,051. Reservations complete off-domain (Wayleadr) and are tracked in GA4.

567
Reservations
up 36% vs prior 30 days
$16,051
Booking revenue
up 26% vs prior 30 days
$10,054
Ad spend
up 28% vs prior 30 days
$18
Cost / reservation
down 5% vs prior 30 days
Reservations tracked in GA4 where Wayleadr fires booking events. All-traffic; paid media is the primary driver of new visitors to the booking page. Comparisons are against the prior 30 days (Jul 18 - Aug 16), the same number of days immediately before this window.
The story

Where the bookings come from.

Reservations complete off-domain, so we read them in GA4, not in Meta. Here is the funnel.

01
1,446

Booking starts

People who reached the booking page from all sources; 977 unique visitors started a reservation. Up 2% vs prior 30 days.

02
567

Reservations completed

Completed bookings worth $16,051 over the period. Up 36% vs prior 30 days.

03
39%

Checkout completion

39% of started bookings are completed. Cutting the 61% drop-off is the biggest lever. Was 29% in the prior 30 days.

Booking funnel

Where drivers leave the checkout.

The reservation checkout runs on Wayleadr, and every screen of it has its own web address, so we can count how many drivers reach each one and see exactly where they leave. Counts are unique drivers, all traffic.

Checkout screenDrivers (Last 30 days)Carried onStep drop
1 · Choose time & duration (price shows)951start
2 · Name & email47450%-50%
3 · Phone & text alerts29562%-38%
4 · License plate28797%-3%
5 · Review & terms27295%-5%
6 · Payment26798%-2%
7 · Receipt (booked on this path)16863%-37%
Reservations completed, all paths567$16,051 in booking revenue
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Most of the drop-off is on one screen. 951 drivers reach choose time & duration (price shows) and 474 carry on to name & email, so 477 leave right there. The ladder tracks the standard booking path, so its last screen (168) sits below the 567 reservations GA4 records for the same period. Read the table for where drivers leave, not for the final total.

How the drop-off is moving.

Each percentage is the share of drivers who carry on from the screen above it, so a period with more traffic can be compared with one that had less. The short window comes first because a 30-day average takes weeks to show a change.

Checkout screenDrivers, last 7 daysCarried on, last 7 daysCarried on, prior 7 daysCarried on, last 30 daysCarried on, prior 30 days
2 · Name & email10761%51%50%50%
3 · Phone & text alerts7570%64%62%54%
4 · License plate7397%98%97%98%
5 · Review & terms7197%98%95%93%
6 · Payment6997%98%91%
7 · Receipt (booked on this path)4870%55%63%55%
Completed, of everyone who started55%35%39%29%
i
The phone & text alerts screen is where the ladder moved most. 62% of drivers carried on to phone & text alerts, against 54% in the prior 30 days, the largest change on the ladder. Over the last 30 days, 50% of drivers carried on from choose time & duration (price shows), up from 50% in the prior 30 days. Week to week it improved from 51%, while 32% fewer drivers reached the screen (259 against 175). The last 7 days sit at 61%, above that average, so the current level is better than the 30-day average shows.
Meta Ads

Traffic to the booking page.

Meta drives visitors to the site and the booking flow. Reservations complete off-domain, so they are counted in the funnel above, not here.

PeriodSpendImpressionsClicksCTRCPC
Last 30 days$4,301400,01416,6304.16%$0.26
Prior 30 days$2,482249,09711,8414.75%$0.21

The ads doing the work

Ranked by clicks sent to the booking page. The booking completes off-domain, so an ad is judged on the traffic it sends, not on a conversion Meta cannot see.

Hook rate is the share of people shown the ad who stayed past 3 seconds. Hold rate is the share of those who kept watching to ThruPlay, 15 seconds or the end. 31 creatives carried spend this period and 10 of them went live inside it.

Google Ads

Conversions over the window.

Daily conversions against daily spend across the window.

Conversions & spend per day

Conversions Daily spend
Window total 157 conv.Shaded band = the current period, the bars before it are the previous oneLast 3 days still filling in
Campaign split

Where the budget worked.

Spend and conversions by campaign. Brand search is separated so the true acquisition cost stays visible.

$2,097
NZ - PMax - Website
32 conv · $65 CPA
$1,826
NZ - Search - Driver…
29 conv · $63 CPA
$1,284
NZ - Search - Business
11 conv · $120 CPA
4
Active campaigns
Search + PMax
NZ - PMax - Website 32 conv · $65 CPA
$2,097
NZ - Search - Driver Booking 29 conv · $63 CPA
$1,826
NZ - Search - Business 11 conv · $120 CPA
$1,284
NZ - Search - Brand 85 conv · $4.77 CPA
$407
NZ - Demand Gen - Remarketing 0 conv
$140
CampaignStatusSpendConv.Cost / conv.CTR
NZ - PMax - WebsiteActive$2,09732$652.8%
NZ - Search - Driver BookingActive$1,82629$636.7%
NZ - Search - BusinessActive$1,28411$1207.8%
NZ - Search - BrandActive$40785$4.7733.4%
NZ - Demand Gen - RemarketingPaused$1400n/a2.1%
Total$5,753157$37-
What's next

Where we take it from here.

Each move ties back to what this window proved.

Operating plan

The next window.

  • Retarget the drivers who start a booking and leave on the price screen.
  • Scale placements that send the most booking starts, not just clicks.
  • Hold Google on Purchase so bidding chases completed reservations, not checkout starts.
The next chapter

Now we grow the bookings.

We drive more booking-page traffic and work the checkout drop-off so more starts become reservations.

Talk through the plan