Custom Analytics Dashboard Build

Three differences. First, cost — SaaS BI tools cost $200–$800/month recurring; a custom dashboard costs $3K–$8K once + $25–$50/month compute. Below the 3-year mark, SaaS is cheaper; above it, custom wins. Second, customization — SaaS tools impose their view of your business (their LTV formula, their attribution model, their segments); a custom dashboard implements YOUR business logic. Third, ownership — SaaS tools can change pricing, deprecate features, or disappear; your custom dashboard is yours forever.

Different purposes. The AI Agent Sync coordinates AI agents ACROSS platforms — it ACTS on insights (propagates Amazon keywords to Shopify, generates Pinterest pins from Amazon bestsellers, etc.). The Analytics Dashboard shows you metrics ACROSS platforms — it gives VISIBILITY into performance. Some clients buy both: the dashboard shows what is happening; the agent sync makes things happen. They are complementary, not overlapping.

Strong support: Shopify, Amazon SP API, Etsy, Pinterest API, Meta Ads, Google Ads, TikTok Ads, Klaviyo, Mailchimp, OpenAI/Anthropic/Google AI APIs, Stripe, Mixpanel, Google Analytics, GA4. Partial support: TikTok Shop, Instagram Shopping, custom Shopify apps. New data sources can be added during the build for $400–$1,200 per source depending on API complexity.

$25–$50/month in compute and data storage costs depending on volume. The dashboard uses cached data refreshed on configured intervals (typically every 15–60 minutes for real-time views, daily for trend views) — this keeps compute costs low while maintaining freshness. Large catalogs or high-frequency ad spend tracking can push compute to $80–$120/month, but most clients land in the $25–$50 range.

Yes. Multi-brand support is included in engagements above $6,000 or as a $1,500 add-on to smaller engagements. Each brand has its own view with brand-isolated data; portfolio-level rollup views are also available for aggregated reporting. Common use cases: ecommerce groups running 3–5 brands, agencies managing client portfolios, founders running parallel businesses.

Yes, with caveats. Most platforms allow historical data pull through APIs (typically 24–36 months back depending on platform). Some platforms (Shopify, Klaviyo, Stripe) allow unlimited historical pull. Others (Meta Ads, Google Ads) limit historical access. Historical import adds $400–$1,200 to the engagement depending on data volume and source complexity. Most clients prefer to start fresh with the new dashboard rather than backfilling extensive history.

Adding custom metrics to a custom dashboard you own is straightforward — typically $200–$800 per new metric depending on complexity. Compare to SaaS BI tools where new metrics depend on the vendor's roadmap (or are impossible). Most custom dashboards gain 3–8 new metrics in the first 12 months as the team identifies what they actually need from real daily use.

Book a free 30-minute discovery call through the contact page. Share: your platforms, your current BI tool stack and costs, and the 10–15 metrics that matter most to your business decisions. I will draft a metric specification and fixed-price quote within 7 days.