# Local Market Performance Reviewer

**Platform:** Google LSA
**Category:** strategy
**Tier:** agency

## Purpose
Deliver a comprehensive local market performance assessment that contextualizes an LSA profile's performance against the competitive dynamics, demand patterns, and market saturation of its specific geographic service area. LSA performance is fundamentally local — a profile in a dense urban market with 40 active competitors behaves completely differently than the same business in a suburban market with 5. This skill provides the market context that transforms raw performance data into strategic insight. It is agency-grade because it requires competitive observation, local market research, and the judgment to synthesize market signals into actionable strategic positioning recommendations.

## When to Use
- When setting performance targets for a new market entry or new LSA profile
- When explaining underperformance that cannot be attributed to profile-side problems
- When a client wants to know whether their LSA investment is competitive in their market
- When evaluating whether to enter a new service area with LSA
- Annually, as part of a full market strategy review for long-tenured clients
- When a local competitor's entry, exit, or significant growth is disrupting existing performance

## Inputs Required
- Business primary address and all active service area geographies
- Current profile metrics: review count, rating, responsiveness score, booked lead rate, cost-per-lead
- Competitor LSA profiles visible in the same service area: review count, rating, Google Guarantee status (observable from search results)
- Market demand signals: seasonality patterns for the vertical in this geography, local economic conditions
- Historical performance data for the account (minimum 6 months)
- Any known recent market events: new competitor entry, major competitor exiting, regional economic changes
- Average ticket value and job type mix for this specific market

## What This Skill Does
Builds a local competitive landscape map, benchmarks the client's profile against the visible competitor set across all observable ranking signals, identifies the market's demand ceiling (how much lead volume is available in this geography for this vertical), and assesses whether current performance is limited by profile quality, budget, or market supply. Produces a local market positioning recommendation — where the business can credibly compete for rank, where it is outmatched, and what investments would move the competitive needle in this specific market.

## Analysis Workflow
1. Identify all LSA competitors visible for the top 2–3 job types in the client's primary service area — record name, review count, rating, Google Guarantee status, and approximate years in business.
2. Rank competitors by observable LSA ranking signal strength: (review volume × rating) as a composite score.
3. Compare the client's profile signal score to each competitor — calculate the gap to the top-ranked competitor.
4. Assess market saturation: how many active LSA profiles are competing for the same job types in the same geography? Flag markets with 15+ active profiles as highly saturated.
5. Evaluate demand density: is this a high-volume market (large MSA, dense residential population) or a low-volume market (rural, smaller city)? Estimate the maximum realistic monthly lead volume for the vertical in this geography.
6. Assess the client's market position: is the profile in the top tier (competitive for position 1–3), mid tier (competitive for positions 4–6), or sub-threshold (rarely appearing)?
7. Identify the specific competitor the client is most directly competing with — similar service mix, similar review count tier, similar market entry date.
8. Evaluate the trajectory of the competitive landscape: is the market becoming more or less saturated? Are new profiles entering? Are incumbent profiles accelerating review growth?
9. Identify market-specific opportunity: are there high-demand job types in the local market that competitors are not well-positioned for? Are there underserved geographic pockets within the service area?
10. Assess the ROI ceiling for this market: given the lead volume available and the competitive density, what is the realistic maximum monthly lead volume at current budget, and is the client capturing their fair share?
11. Model the investment required to reach the next market tier (e.g., matching the top competitor's review count, improving responsiveness to top-tier threshold).
12. Write the local market strategic positioning recommendation.

## Output Requirements
- Competitive landscape map: all identified competitors with observable signal scores, ranked
- Client market position assessment: current tier, gap to next tier, gap to market leader
- Market saturation rating: Low / Moderate / High / Saturated — with competitor count evidence
- Demand ceiling estimate: realistic monthly lead volume ceiling for this vertical and geography
- Fair share analysis: current lead volume as a percentage of estimated market demand
- Market opportunity identification: underserved job types, underserved geographic pockets, competitor weaknesses
- Investment model: what profile improvement or budget change achieves the next competitive tier
- Strategic positioning recommendation: where to compete, where to accept current limitations, and what to prioritize

## Platform-Specific Best Practices
- Market saturation in LSA is visible by counting active profiles in the search results — but the visible set (top 3) underrepresents the true competition pool. Use the "More" list to see full competitor count.
- In highly saturated markets (20+ competitors), review velocity is the primary competitive differentiator — absolute review count matters less than growth rate relative to competitors.
- Budget ceiling matters differently by market: in low-volume markets, a client can capture all available demand with a modest budget; in high-volume markets, budget is a genuine constraint.
- Local economic events (new residential development, population growth, industrial closures) affect LSA demand in ways no amount of profile optimization can overcome — incorporate local market context.
- Competitor monitoring is directional, not precise — observable profile data (reviews, rating, badge) provides the most meaningful signals. Do not over-extrapolate from limited competitive data.
- The goal of the market review is not to discourage investment but to right-size expectations and identify the highest-leverage competitive moves.

## Guardrails
- Do not promise specific rank positions based on competitive gap analysis — rank is dynamic and query-dependent.
- Competitive analysis based on observable LSA profile data is a surface-level signal — do not build recommendations that require certainty about a competitor's internal operations.
- Market demand estimates are approximations — present them as ranges with explicit methodology notes.
- Do not recommend budget increases in saturated markets without first addressing the profile signal gaps that are preventing competitive rank — more budget in a under-signaled profile buys throttled delivery, not position.

## Example Requests
1. "We've been running LSA for 18 months in Austin and our rank has never broken top 3. Run a local market analysis — is this a profile problem or a market problem?"
2. "We're thinking about expanding LSA into three new cities for our plumbing business. Run a local market review for each city and tell me which one gives us the best chance of competitive rank quickly."
3. "A new competitor just entered our market with 0 reviews but they're already appearing in top 3. How? Give me a full competitive landscape analysis."