1. Starter supports up to 100,000 comment sync events per month.

2. Starter supports up to 100,000 AI replies per month.

3. Starter supports up to 1,000 Facebook posts and 100 campaigns per month.

4. Starter supports up to 1,000 active products in your catalog.

1. Review lead sources from orders, Messenger, and Facebook activity before campaign planning.

2. Track storefront views, product views, add-to-cart events, purchases, and conversion rate weekly.

3. Export leads as CSV or Excel when the sales team needs follow-up lists.

4. Use top products, referrers, locations, devices, and low-stock reports to decide what to promote next.

1. Weekly report: Leads | Views | Product views | Add to cart | Purchases | Conversion rate.

2. Promotion rule: Push products with high views, low conversion, and enough stock after content fixes.

3. Follow-up list: Name | Phone | Source | Last interaction | Next action.

1. Judging campaigns only by likes or comments.

2. Ignoring add-to-cart drop-off and fulfillment rate.

3. Not exporting leads for structured follow-up.

1. Lead sources are reviewed.

2. Funnel metrics are tracked weekly.

3. CSV/Excel exports are used for follow-up.

4. Product and low-stock insights guide campaigns.

1. Define one operational owner for storefront funnel analytics and one backup owner for every shift; ownership gaps are the #1 reason process quality drops after campaign spikes.

2. Build a response matrix by intent and risk level using entities like Lead Analytics, Funnel Metrics, Storefront Events, Product Insights so every team member follows the same decision path.

3. Set response SLAs for high-intent, medium-intent, and low-intent interactions separately; one global SLA usually hides bottlenecks.

4. Create a weekly quality audit with 200 random interactions/orders reviewed against policy, tone, and conversion quality standards.

5. Run monthly optimization retrospectives to update templates, escalation rules, and campaign scripts based on conversion and return data.

6. Document exception handling for edge-cases (stock mismatch, wrong address, refund request, abusive comment, payment dispute) so team speed does not collapse under pressure.

1. First Response Time Target: under 3 minutes during campaign window; under 10 minutes off-peak.

2. Intent-to-Order Conversion Target: improve by at least 15% month-over-month for high-intent interactions.

3. Order Error Rate Target: keep below 1% by enforcing variant/address reconfirmation before dispatch.

4. COD Return Risk Target: reduce preventable returns by at least 25% in 90 days through risk-tier verification.

5. Scale Reliability Target: maintain quality while handling up to 100,000 monthly comment sync volume.

6. Campaign Efficiency Target: stop underperforming campaigns automatically when threshold rules are breached.

7. Customer Trust Target: maintain visible complaint closure and policy clarity across all public buyer touchpoints.

1. Days 1-30: baseline current workflow for storefront funnel analytics, create templates, assign owners, and implement strict tagging/labeling rules.

2. Days 31-60: enforce KPI dashboard reviews 7 times per week, launch A/B variants for replies/campaign copy, and fix top 10 conversion leak points.

3. Days 61-90: scale winning scripts, integrate fraud/delivery checkpoints into standard workflow, and publish case-style progress summary in your content channels.

1. Use this exact article URL in external mentions: https://autobusiness.daamdekhi.com/blogs/en/lead-analytics-and-storefront-funnel-metrics-for-sellers

2. Publish one supporting Facebook post, one LinkedIn post, and one short YouTube description link for this article every week.

3. Create guest posts on relevant Bangladesh ecommerce communities and point contextual anchor text to this blog page.

4. Submit your feature and industry pages to credible local business directories and include article links as proof resources.

5. Exchange editorial links with non-competing SaaS/tools that serve Facebook page sellers and small ecommerce teams.

6. Use internal backlinks aggressively: from feature pages, industry pages, pricing, and how-it-works pages into this article cluster.