Placements: Feed, Stories, Reels, and Audience Network
Part 2 defaulted Bright Leaf Coffee's first campaign to automatic placements. This part covers what's actually behind that setting — the real, distinct surfaces an ad can appear on — and when manually restricting them is genuinely the better call.
The placement surfaces
- Facebook Feed — the traditional main feed, still a large share of overall delivery for many accounts.
- Instagram Feed — the main Instagram scrolling feed, visually similar in format to Facebook Feed but a distinct audience and context.
- Stories (Facebook and Instagram) — full-screen, vertical, temporary content between organic Stories.
- Reels (Facebook and Instagram) — full-screen, vertical, short-form video, the format part 9 covered as needing genuinely native-feeling creative.
- Audience Network — third-party apps and websites outside Meta's own platforms entirely, where Meta serves ads through its ad network.
- Messenger — ads appearing within the Messenger app itself, including its own inbox placement.
Why automatic placements usually win
Meta's own delivery system (part 1) is directly optimizing for the best result per dollar spent — and it has real, continuously updated data on which specific placement is performing best for a given ad, audience, and objective, in real time. Manually restricting placements removes some of that inventory the system could otherwise use to find efficient delivery, and for most accounts, most of the time, automatic placements produce a lower overall cost per result than a manually narrowed set.
A real per-placement breakdown, after real data exists
Bright Leaf Coffee — "Coffee Enthusiasts" ad set, first 30 days, automatic placements:
Instagram Feed: 42% of spend, $0.68 CPC, strong conversion rate
Facebook Feed: 31% of spend, $0.81 CPC, moderate conversion rate
Instagram Reels: 19% of spend, $0.52 CPC, weak conversion rate
Audience Network: 8% of spend, $0.44 CPC, very weak conversion rateThis is exactly the kind of real breakdown Meta's Ads Manager reports directly, per placement, once a campaign has run long enough to gather it — and it's genuinely useful diagnostic data even while leaving placements automatic, since it reveals where delivery is actually happening and how each surface is really performing.
When manually restricting placements is the right call
Audience Network excluded: after real data showed consistently weak conversion
rate despite a low CPC — cheap clicks that rarely convertedThis is the one legitimate, common reason to override automatic placement: real performance data showing one specific placement consistently underperforms on the metric that actually matters (conversions, not just cost per click), even after a fair evaluation period. Excluding Audience Network specifically is a common real-world adjustment for many accounts, since ad-network placements outside Meta's own apps sometimes carry a real risk of accidental clicks or lower-quality traffic — worth confirming with real data before excluding, not assumed by default.
Creative considerations per placement, revisited
Part 9 and 11 already covered the creative implications directly — a single asset built only for square Feed placement can appear poorly cropped or awkwardly positioned in a full-screen vertical Reels or Stories placement. Advantage+ creative (part 11) automatically handles a meaningful share of this adaptation; a business with the resources to build genuinely placement-specific creative — a real vertical video for Reels specifically, not just an automatically cropped Feed asset — sees measurably better performance in that placement than an auto-adapted version.
Manually restricting placements immediately at campaign launch, based purely on a guess about which surface "feels right" for the brand, before any real delivery data exists. This removes real inventory from a delivery system that hasn't yet had the chance to prove which placement actually performs best — let automatic placement run first, then restrict based on genuine data, not intuition made in advance.
Creative and placement are both covered now. Next: budgeting — Campaign Budget Optimization versus individual ad set budgets, and how Meta actually decides where a shared budget goes.