Custom Build 📊

Custom Analytics Dashboard Build

One dashboard showing every metric that matters across Shopify, Amazon, Pinterest, Reddit, and your AI stack. Owned by you, $25/month to run.

I build a custom analytics dashboard that pulls data from every platform you sell on, every ad channel you spend on, and every AI tool you use — into one unified view. Real-time metrics, automated reports, custom alerting on anomalies. Replaces $200–$800/month in BI SaaS subscriptions. Pays for itself in 6–9 months for most multi-channel businesses.

Starting from $3,000
Typical engagement $3,500–$8,000
Delivery 3–5 weeks
Book Free Discovery Call → See the ROI ↓

The problem this service solves

Why is reporting on my ecommerce business so painful when I have data everywhere?

Because every platform (Shopify, Amazon, Pinterest, Meta Ads, Google Ads, Klaviyo, ChatGPT API) gives you its own dashboard with its own metrics. None of them talk to each other. Triple Whale and similar tools attempt unification but: they cost $200–$800/month, they default to one specific view of your business that may not match yours, and they introduce a vendor dependency on top of all your other vendors. A custom analytics dashboard solves it: pulls from all your sources, displays the metrics YOU care about, lives on your infrastructure, costs $25/month in compute, and is built around YOUR business model — not the BI vendor's median customer.

⚠️

Multi-channel ecommerce brands report spending an average of 5–9 hours per week on cross-platform reporting and reconciliation — that is 250–450 hours annually, or 6–11 weeks of full-time work, spent assembling reports manually. Custom dashboards eliminate 90%+ of this manual work.

Return on investment

What is the ROI of a custom analytics dashboard versus BI SaaS?

  • Replaces $200–$800/month in BI SaaS subscriptions (Triple Whale, Northbeam, Polar, etc.)
  • Eliminates 5–9 hours/week of manual cross-platform reporting
  • Surfaces anomalies and opportunities competitors miss (custom alerts on YOUR business logic)
  • Unified view across selling platforms + ad channels + AI costs + customer LTV
  • Owned forever — no subscription, no vendor lock-in, no rate-limited API quotas
  • Tuned to YOUR business model (LTV calculation, attribution model, custom segmentation)
  • 3-year savings: $7,000–$28,000 depending on prior BI spend
  • Pays for itself within 6–9 months for ~85% of multi-channel businesses

Real example

A multi-channel DTC brand on Shopify + Amazon + Pinterest + Meta Ads was paying $390/month for Triple Whale and still spent 7 hours/week reconciling cross-platform data manually. Custom dashboard built for $5,400 replaced Triple Whale and automated the manual reporting work. Annual SaaS savings: $4,680. Time recovered: ~7 hours/week × $80/hour internal cost ≈ $29K/year. Payback period: 6.4 months purely on SaaS savings; under 3 months including time savings.

What you receive

What's Included in the Custom Analytics Dashboard Build?

Every engagement includes the following deliverables. Fixed scope, fixed price, quoted before any work begins.

  • Data pipeline pulling from every selling platform you use (Shopify, Amazon SP API, Etsy, Pinterest, eBay, etc.)
  • Ad channel integration (Meta Ads, Google Ads, TikTok Ads, Pinterest Ads)
  • Email/lifecycle platform integration (Klaviyo, Mailchimp, custom email)
  • AI cost tracking across API providers (OpenAI, Anthropic, Google, others)
  • Custom metric definitions tuned to your business (LTV formula, attribution model, segments)
  • Real-time dashboard interface (Streamlit, Metabase, or custom React)
  • Automated daily/weekly/monthly reports sent to email or Slack
  • Custom alerting on anomalies (sudden traffic drops, conversion spikes, AI cost increases)
  • Mobile-friendly view for on-the-go founders
  • Team training session (60 minutes) covering daily usage
  • Deployment on Google Cloud Run or Railway ($25–$50/month compute)
  • 30 days of post-launch tuning and bug fixes included

Who this is for

Who Should Hire Me for the Custom Analytics Dashboard Build?

Multi-channel ecommerce brands selling on 2+ platforms with combined revenue of $500K+ annually. Brands paying for analytics SaaS (Triple Whale, Northbeam, Polar Analytics, Daasity, Glew) that find the tools either too generic or too expensive. SaaS founders needing unified product + revenue + AI cost analytics in one view. Agencies wanting to deliver unified client reporting without buying enterprise BI seats per client.

How we work together

The Custom Analytics Dashboard Build Process — Step by Step

Every engagement follows the same disciplined process. No vague hourly billing. Fixed scope, fixed price, clear milestones.

01

Discovery and metric mapping (free, 30 min + 1 week)

Discovery call covers your platforms, current BI tools, the 10–15 metrics you actually care about, and what manual reporting work consumes your time. I produce a metric specification document for your review within 7 days — locks in exactly what the dashboard will show.

02

Data pipeline build (1.5–2 weeks)

Connectors built for each data source. ETL pipeline configured. Data warehouse setup (typically BigQuery or PostgreSQL depending on scale). Test data pulls validated against existing platform dashboards to confirm accuracy.

03

Dashboard interface build (1–1.5 weeks)

Visual dashboard built showing your specified metrics in the layout you specified. Custom alerts configured. Automated report scheduling set up. Mid-build review with you so you can request layout or metric adjustments.

04

Launch and tuning (1 week + 30 days)

Dashboard goes live. Team training session. First automated reports start flowing. 30 days of post-launch tuning — typically minor adjustments to metric definitions, alert thresholds, or layout based on real daily use.

Real results · case studies

Recent Custom Analytics Dashboard Build Results

Selected outcomes from recent engagements. Where noted, examples are composites drawn from similar client work.

Result $390/mo → $35/mo · 7 hr/week reclaimed · $29K time value recovered

Multi-channel DTC — replaced Triple Whale, saved 7 hr/week

A multi-channel DTC brand on Shopify + Amazon + Pinterest + Meta Ads was paying $390/month for Triple Whale and spending 7 hours/week on manual reconciliation. Custom dashboard built for $5,400 replaced Triple Whale entirely and automated the manual work. Annual SaaS savings: $4,680. Time recovered: $29K/year internal cost equivalent. Payback under 3 months including time.

Multi-channel DTC · 4 platforms · $2M/yr

Example based on aggregated client work
Result 8 client brands consolidated · $2,800/mo BI spend eliminated · client retention +24%

Agency — unified client reporting across portfolio

A marketing agency managing 8 multi-channel client brands was buying separate Polar Analytics seats per client ($350/mo × 8 = $2,800/mo). Custom multi-tenant dashboard built for $7,200 replaced all 8 subscriptions. Annual savings: $33,600. Bonus: clients valued unified reporting so much that client retention improved 24% versus prior 12 months.

Marketing agency · 8-brand portfolio · multi-tenant build

Example based on aggregated client work
Result Unified view across Stripe + Mixpanel + OpenAI + Anthropic · prevented 3 cost spikes

SaaS founder — combined product + AI cost analytics

A B2B SaaS founder needed unified view of product metrics + AI cost metrics. No off-the-shelf BI tool combined these well. Custom dashboard built for $4,200 pulled from Stripe, Mixpanel, OpenAI API, and Anthropic API in one view with custom alerting on AI cost anomalies. Prevented 3 separate AI cost spike incidents that would have caused $8K–$15K each in surprise bills.

B2B SaaS · product + AI cost analytics

Example based on aggregated client work

Frequently asked questions

Common Questions About the Custom Analytics Dashboard Build

How is this different from Triple Whale, Northbeam, or Polar Analytics?

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.

How is this different from the Multi-Platform AI Agent Sync service?

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.

What data sources can the dashboard pull from?

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.

What does the dashboard cost to run after I own it?

$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.

Can the dashboard handle multiple brands or accounts?

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.

What about historical data — can the dashboard import data from before launch?

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.

What if I want to add custom metrics later that we did not include in the build?

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.

How do I get started?

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.

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Ready to Get Started With the Custom Analytics Dashboard Build?

Every engagement starts with a free 20-minute discovery call. No commitment, no obligation. If we're not a fit, I'll tell you directly. If we are, you'll get a fixed-price scope within 48 hours.

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🌿 Sustainable AI · 300+ engagements · 26 countries · 7+ years consulting