--- name: meta-ads-scale-campaign description: "[Didoo AI] Guides Meta Ads campaign scaling — increases budget, expands audiences, replicates to new geos. Use when a testing campaign has exited Learning Phase (~50+ results in the past 7 days, CPL at or below target, stable metrics across 3–5 days) and you want to scale it. Not for campaigns still in testing phase." homepage: https://didoo.ai/blog --- # Meta Ads Scale Campaign ## Required Credentials | Credential | Where to Get | Used For | OAuth Scope | |-----------|-------------|---------|-------------| | META_ACCESS_TOKEN | Meta Developer Console → Graph API Explorer → Generate Token | Fetching campaign status and insights | `ads_read` (read-only) | | META_AD_ACCOUNT_ID | Ads Manager URL: `adsmanager.facebook.com/act_XXXXXXXXX` | Identifying which account to query | — | ## When to Use Loaded when a testing campaign has proven results and you want to scale it — increase spend, expand audience, or replicate to new geos. Not for campaigns still in testing phase. --- ## Prerequisites Before scaling, confirm: 1. Testing phase is complete — campaign has generated ~50+ results in the past 7 days and exited Learning Phase (not just 50+ lifetime results) 2. Cost per result is at or below target CPL/CPA 3. Data is stable — metrics are consistent across at least 3–5 days If any of the above are not confirmed, do not scale — return to meta-ads-analysis + meta-ads-recommendation to fix problems first. --- ## Step 1: Confirm Scale Readiness Check the following signals: **Must have:** - Learning Phase has exited — need ~50+ results in the past 7 days (per adset for ABO, or per campaign for CBO). A campaign with 50+ lifetime results but only 2 results this week has NOT exited Learning Phase. - CPL/CPA at or below target (or acceptable for the business) - Delivery is consistent — not frequently limited by budget or audience **Should have:** - Frequency below 3 (if above, scale will hit fatigue faster) - CTR stable and acceptable (not declining trend) - LPV rate healthy (> 70% for e-commerce, > 50% for lead gen) If these signals are not confirmed, return to meta-ads-analysis + meta-ads-recommendation to fix problems first. --- ## Step 2: Define Scale Strategy ### Strategy A: Increase Budget on Winner Campaign When: CPL is stable and below target, delivery is near cap - Increase budget by max 20% per adjustment - Wait 2–3 days between adjustments to let Meta re-optimize - If CPL starts rising after budget increase → stop, return to optimization ### Strategy B: Replicate to New Audience When: Current audience is getting fatigued (frequency > 3) or you want to test new segments - Duplicate the winning campaign (see meta-ads-publisher → Duplicate / Clone Campaign) - Modify one dimension: new audience, new geo, or new placement - Keep the same winning creative — creative is proven, not the variable ### Strategy C: Replicate to New Geo When: Campaign is working in one market and you want to expand - Duplicate campaign with same structure - Change only the geo targeting - Keep same audience parameters where possible - New geo = new audience data → expect new learning phase ### Strategy D: Expand Audience Within Campaign When: Targeting is too narrow and limiting volume - Add new interest layers or lookalike audiences - Do NOT broad-target — define the expansion clearly - Monitor closely after expansion — may change CPL --- ## Step 3: Execute Scaling in Meta Ads Manager **For budget increases:** 1. Go to the ad set in Meta Ads Manager 2. Change daily budget — increase by 20% max 3. Wait 2–3 days before next adjustment 4. Monitor CPL closely — if it rises > 15%, pause the increase **For campaign duplication:** 1. Use meta-ads-publisher → Duplicate / Clone Campaign 2. Create PAUSED, review before activating 3. Confirm targeting/budget/geos are correct for new context 4. Activate and monitor --- ## Step 4: Monitor Post-Scale Post-scale, run meta-ads-healthcheck or meta-ads-analysis daily for 3–5 days: **Green signals:** - CPL stable or improving - Frequency still below 3 - Spend increasing proportionally to budget increase - Results volume growing **Red signals — stop and reassess:** - CPL rising > 15% after budget increase - Frequency > 3 and climbing - Spend not increasing despite budget increase (delivery problem) - Learning phase re-triggered --- ## Constraints - Never scale a campaign still in Learning phase — wait for it to complete - Never scale a campaign with CPL significantly above target — fix the problem first - Budget increases: max 20% per adjustment, 2–3 days between changes - When scaling to new geos: expect new learning phase — don't judge too early - If 2+ scaling attempts fail: return to meta-ads-recommendation for structural diagnosis --- ## Scale Failure — Quick Reference | Symptom | Most Likely Cause | Next Action | |---------|-------------------|-------------| | CPL rises > 15% after budget increase | Audience is saturated | Pause increase; rotate new creative or expand audience | | Budget increased but spend stays flat | Delivery constrained — audience too narrow or bid too low | Check delivery preview; widen targeting or raise bid | | CPL stable but frequency jumps above 4 | Audience fatigue | Rotate new creative immediately; expand to lookalike | | Campaign re-enters Learning Phase after changes | Too many simultaneous changes | Pause; wait for re-stabilization; reduce changes next time | | All metrics flat — no response to budget increase | Bid ceiling reached | Switch to lowest cost bidding; or campaign has hit its natural ceiling | | Performance drops day after budget increase | Over-delivered early in day (pacing issue) | Check 3-day average, not single-day | | CPL acceptable but volume too low to scale | Audience too narrow | Replicate to new audience (Strategy B), don't just increase budget | **When to abandon a scaling attempt:** - CPL rises > 30% despite 2 budget adjustments - Delivery becomes erratic / spend unpredictable - Frequency reaches 5+ across all adsets - 2+ consecutive days with no spend increase despite budget increase **When to keep trying:** - CPL rises < 15% and stabilizes — this is normal as you scale - Volume is growing proportionally to budget - Frequency stays below 4 --- Source attribution: elias-didoo Original project: https://github.com/elias-didoo/didoo-marketing-suite/blob/70c89f2304d4360f553768e2b2626c4b319caa58/meta-ads-skills/execute/meta-ads-scale-campaign/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice # MIT License Copyright (c) 2026 Didoo AI Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --- ## Trademark Notice "Didoo AI" and the Didoo AI logo are trademarks of Didoo AI. This license does not grant permission to use the "Didoo AI" name, trademark, or product name for commercial or promotional purposes without prior written consent. Distributing skills or derivatives claiming to be "official" Didoo AI integrations is prohibited. # Mega AI Hub resource metadata Creator / publisher: elias-didoo Original project: https://github.com/elias-didoo/didoo-marketing-suite/blob/70c89f2304d4360f553768e2b2626c4b319caa58/meta-ads-skills/execute/meta-ads-scale-campaign/SKILL.md Attribution basis: Source repository record Fields of work: Marketing Roles: Advertising Specialist, Growth Marketer, Marketing Analyst Specialties: API, Frontend, Testing Tools: Tool not specified Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 8dee64fe348a1b3f9b91be7bfbcb0aee303121ac38da104e5baef80b48c00e69