Ad Channel Selection
Choose the 2-3 paid channels where your target audience is densest and intent is highest, rather than spreading across ten.
Why
Paid acquisition fails most often not because the ads are bad but because the channels are wrong — B2B developers don't use TikTok, consumer apps don't convert on LinkedIn, and spreading $10k across 8 channels means each gets $1.25k, too little to exit the learning phase or optimize. Concentrating on 2-3 channels where your audience is dense and intent is high (B2B SaaS: Google Search + LinkedIn; developer tools: Google Search + Reddit; consumer: Meta + TikTok) lets each channel get enough spend to optimize, and the team get deep enough in each to understand its quirks. Channel selection is the highest-leverage paid decision — a 3x difference in channel-audience fit dwarfs any creative or landing-page optimization. The discipline is to test a channel for 90 days with meaningful spend before declaring it dead, and to kill channels ruthlessly when the blended CAC exceeds the payback threshold.
When
When organic growth is insufficient and you have budget to test. Start with 1 channel, add a 2nd only after the 1st is profitable.
How
1. Map your target audience to channels: where are they dense, and what is the intent level? (B2B devs: Google Search [high intent] + Reddit [high density]) 2. Start with ONE channel — the one with highest intent (usually Google Search for B2B, Meta for consumer) 3. Allocate enough budget to exit the learning phase (Google: ~$1k/conversion, Meta: ~$50/day minimum) — underfunding is the #1 reason channels 'fail' 4. Run for 90 days before judging; optimize creative, targeting, and landing page weekly based on CAC and volume 5. If CAC < payback threshold after 90 days, the channel is profitable — scale spend 20%/week while monitoring CAC 6. Add a 2nd channel only after the 1st is profitable; repeat the 90-day test with full budget (don't steal from channel 1) 7. Kill any channel where CAC > payback threshold after 90 days of full-budget optimization; don't 'keep trying' with half budget 8. Review channel mix quarterly; as audience behavior shifts, a dead channel may revive and a profitable one may decay
Example
# Channel selection for a B2B deploy tool (target: backend devs) Audience density + intent: Google Search "deploy react to aws" → high density, high intent ← START Reddit r/aws → high density, medium intent LinkedIn "DevOps" → medium density, low intent (devs don't use LI) TikTok → zero density ← skip # Channel 1: Google Search (90-day test, $15k budget) Month 1: CAC $48 (threshold $40) — learning phase, optimize Month 2: CAC $36 — profitable! scale +20%/week Month 3: CAC $34, 120 signups/mo → channel 1 is profitable ✓ # Channel 2: Reddit (add only after ch1 profitable, $8k budget) Month 1: CAC $22 (lower! Reddit devs convert well) → scale Month 3: CAC $26, 80 signups/mo → channel 2 profitable ✓ # Channel 3 (tested, killed): LinkedIn 90 days, CAC $95 (>> $40 threshold) → kill, reallocate to ch1+ch2 # Result: 2 profitable channels, blended CAC $31, 200 signups/mo
Common Problems
- ⚠Spreading $10k across 8 channels so each gets $1.25k — none exits the learning phase and all 'fail'.
- ⚠Judging a channel after 2 weeks when the learning phase takes 4-6 weeks; killing it before it could optimize.
- ⚠Running B2B dev ads on LinkedIn because 'that's where professionals are' — devs aren't on LinkedIn, they're on Reddit and HN.
- ⚠Never killing a channel that's above CAC threshold because 'we might figure it out'; the budget drains and profitable channels get underfunded.
Best Practices
- ✓Concentrate on 2-3 channels where your audience is dense and intent is high; spreading thin guarantees all channels fail.
- ✓Fund each channel enough to exit the learning phase (~$1k/conversion for Google); underfunding is the #1 cause of false failures.
- ✓Test a channel for 90 days with full budget before judging; the learning phase alone takes 4-6 weeks.
- ✓Kill channels above CAC threshold after 90 days of full optimization; reallocate to profitable channels rather than 'keeping trying'.