wiki/knowledge/google-ads/aviary-ppc-reconnaissance-campaign.md · 998 words · 2026-04-05

Google Ads Reconnaissance Campaign — AviaryAI

Overview

Rather than committing significant budget to Google Ads before understanding the competitive landscape, Asymmetric and AviaryAI aligned on a low-budget ($200/mo) reconnaissance campaign designed to gather real-world data on keyword intent, CPCs, competitor activity, and quality scores. Sales conversion is a secondary benefit — the primary goal is learning.

"We understand that we're probably not going to sell anything, although we might… the objective is to learn." — Mark Hope

This campaign runs in parallel with the [1] targeting Credit Unions and Community Banks, and complements the [2] already completed for helloaviary.ai.


Campaign Structure

The $200/mo budget is split across three campaigns, each targeting a distinct intent layer.

Campaign 1 — Outbound (50% of budget)

Goal: Capture high-intent searches from prospects actively looking for outbound voice AI or collections automation.

Ad Groups:
- Outbound Voice — general outbound voice AI keywords
- Collections — AviaryAI's top use case; highest commercial intent

Notes:
- Keywords in this group carry estimated CPCs of $13–$54 (tool estimates; actual CPCs unknown until live)
- Manual bidding strategy: start bids low (e.g., $7–$8) and increment upward to avoid overpaying early
- This is the highest-priority group because outbound and collections are AviaryAI's core value proposition


Campaign 2 — Credit Union Specific (30% of budget)

Goal: Reach credit union decision-makers searching for contact center or call center software.

Ad Groups:
- AI for Credit Unions — keywords around credit union software, contact centers, call centers

Ad Copy Angle:
- Emphasize CUSO backing and investor positioning
- Lean into the "people helping people" credit union ethos
- Reference industry experience with credit unions

Notes:
- CPCs estimated lower than Campaign 1
- Pairs with the credit-union-specific landing page (see #Landing Pages below)


Campaign 3 — Discovery (20% of budget)

Goal: Explore broader keyword territory (e.g., "voice AI platform") to surface unexpected search terms and intent signals via the Search Terms Report.

Ad Groups:
- Financial Services — broader financial services + AI queries
- Voice AI Platform — high-volume, broad-match terms

Notes:
- Keywords run as phrase match or broad match to let Google surface semantically related queries
- Negative keywords are critical here to prevent budget waste on irrelevant searches (e.g., "voice AI jobs," "free voice AI")
- "Voice AI platform" carries ~8,100 monthly searches — the only keyword with substantial volume in the plan; landing page must do heavy filtering work
- Tangential keyword areas (e.g., "email campaign strategies for credit unions," "how to onboard members via SMS") are intentionally deferred — better explored via organic/SEO content first


Ad Copy Guidelines

Google Ads uses responsive search ads: multiple headlines and descriptions are submitted, and Google's AI mixes and matches to find optimal combinations. Underperforming variants get dropped and replaced iteratively.

Approved Framing

Do use:
- "Scale your capability without scaling your cost"
- "Scale your collections without scaling staff"
- Capability and throughput metrics (e.g., "Your team makes 50 calls a day. Ours makes 5,000.")
- CUSO-backed, industry-specific language for credit union campaigns

Avoid:
- Language implying job replacement (e.g., "collections without hiring")
- Generic AI positioning that doesn't anchor to financial services or outbound use cases

Rationale: AviaryAI's brand actively counters the "AI replaces your team" narrative. Ad copy that implies headcount elimination is off-brand and risks alienating the HR/ops buyers at target accounts. The reframe — scaling capability, not cutting people — preserves the growth angle without the political sensitivity.

Character Limits


Landing Pages

Two dedicated PPC landing pages are planned (separate from the [3]):

Page Campaign Alignment Key Messaging
Collections LP Campaign 1 (Collections ad group) Outbound collections use case; throughput metrics; ROI framing
Credit Union LP Campaign 2 CUSO backing; people helping people; credit union industry experience

Quality Score strategy: Google defaults new landing pages to a quality score of 5–6. Target is 7+. The reconnaissance phase will reveal what copy and structural changes are needed to improve scores before scaling budget.


What the Reconnaissance Phase Will Measure

Signal Why It Matters
Actual CPCs Tool estimates ($13–$54) may be significantly off; real bids calibrate future budget planning
Search term report Surfaces keywords Google considers semantically related — reveals gaps and opportunities
Impression volume Validates (or corrects) estimated monthly search volumes from keyword tools
Quality scores Identifies landing page gaps before committing larger spend
Engagement on LPs Time on page, scroll depth, form fills — early conversion signal
Competitor activity Which competitors are bidding on the same terms

Negative Keywords

Negative keywords are especially important for Campaign 3's broad/phrase match groups. Examples flagged during planning:


Account Access

Google Ads manager account access was established during the meeting (April 2026). Sebastian Gant has user access; Asymmetric's manager account is linked. Billing (credit card) confirmed active on AviaryAI's account.


Action Items


Sources

  1. Abm Strategy|Abm Strategy
  2. Webflow Api Seo Overhaul|Webflow Seo Overhaul
  3. Abm Strategy|Abm Account Specific Pages
  4. Abm Strategy|Aviaryai Abm Strategy — Credit Unions & Community Banks
  5. Webflow Api Seo Overhaul|Webflow Api Seo Overhaul — Aviaryai
  6. Index|Aviaryai Client Index