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Interior Box

Interior Design / Renovation← All clients

Media buying

2026-09-18 → 2026-10-17 · $1,453.29 across 1 campaign · target $159.08 per result

Targets are the median of 3 other Atlas Interior Design / Renovation accounts over 90 days.

ATLAS_CAMPAIGN

Unclassified
$1,453.29 · 19 results · 30 active days · freq 1.1
bottleneck
Cost per 1,000 shown

$344.79

target $54.17

At target, cost per result would be $12.02

Click-through rate

3.01%

target 1.56%

Cost per click

$11.44

target $3.47

Click to result

14.96%

target 1.97%

Cost per result

$76.49

target $159.08

Cost per 1,000 shown is the binding constraint: bringing it to target is worth $64.47 per result. What Meta charges to put this in front of people.

Moves available

  • Bring delivery cost downnow

    Delivery is expensive for this audience and format. Test a cheaper format — the SOP prices carousel and static below video.

    Cost per 1,000 shown is well off benchmark: $344.79 against $54.17.

    Expected: Cost per result $76.49 → $12.02 if this alone reached benchmark. (arithmetic — substituting the target into the funnel identity)

    If it goes wrong: Cheaper delivery with a weaker hook trades one problem for another. Watch CTR while CPM falls.

  • Raise budget a stepthis week

    Increase by 20–30% and hold for a week. Not a double — that skips the reading.

    $76.49 against a $159.08 target, with nothing failing a kill rule.

    Baseline: 63% · Of 46 campaign-weeks where spend rose 15% or more, 29 kept cost per result within 20% the following week.

    Expected: More results at a cost per result that will rise somewhat. How much is the thing being measured. (from the media buying SOP)

    If it goes wrong: Each extra dollar chases a harder buyer, so cost per result climbs as budget does. A step shows you where that stops paying; a double hides it.

  • Widen the ad bankwhen there is time

    0 live against roughly 1 for this spend. Fill empty cells in the creative matrix — new angles, not new edits.

    Near-copies are treated as one ad, so more spend behind fewer angles reaches the same people more often.

    Expected: Lower cost per result over weeks, by giving the system more kinds of person to win cheaply. (from the media buying SOP)

    If it goes wrong: Production cost, and a wider bank spreads spend thinner — each ad takes longer to prove itself.

Percentages marked baseline come from this portfolio’s own campaign history — what happened to campaigns in the same state when nobody intervened. They are the bar a move has to clear, not the move’s own success rate. Once enough decisions are logged they are replaced by worked, which counts decisions actually taken.

Nothing here changes the account. The Meta connection reads only — it could not pause an ad if it tried — so every move is for a person to make. Frequency is impressions over summed daily reach, which runs a little high against Ads Manager’s own figure.