Features
One platform. Two audiences. No compromises on either end.
Pulserion doesn’t split into a brand product and an agency product. It’s one architecture that handles both — account-level depth for brand teams, portfolio intelligence for agencies, built the same way from the ground up.
Account-Level Intelligence
The shared foundation — depth every user gets regardless of how many accounts they manage.
Advertising intelligence that tells you what to fix
Not a reporting dashboard — a diagnostic layer. When spend is inefficient, Pulserion identifies where and why. When a keyword is burning budget with no conversions, you know before the week ends.
Spend efficiency alerts with root-cause reasoning
Keyword performance signals — ACOS, CTR, conversion trends
Budget pacing by campaign across the day
Impression share trends and share-of-voice signals
Sponsored Products
Last 7 days
desk organizer wood
ACoS 62%
bamboo drawer tray
ACoS 41%
office desk set
ACoS 18%
pen holder wood
ACoS 12%
Days of cover
4 at risk
NM-4471 · Organizer
9 days
VH-2210 · Drawer Tray
14 days
HC-0087 · Desk Set
38 days
AP-1123 · Pen Holder
61 days
Inventory flags before they become stockouts
Days of cover, replenishment timing, and stranded units surfaced against your actual sell-through rate — not a static reorder point.
Stockout risk alerts with days-of-cover estimates
Overstock flags and stranded inventory signals
Replenishment recommendations with lead time context
IPI score tracking and FBA limit awareness
True P&L depth, not just revenue
Every fee captured against every unit, so margin reflects what actually landed in the bank — not gross sales minus ad spend.
Margin by SKU with full fee capture
TACoS guardrails — total advertising cost of sale against true revenue
Fee breakdowns: referral, FBA, storage, returns
Contribution margin trends over time
Contribution margin
22.4%
Net revenue
$48,210
Referral fees
−$7,231
FBA fees
−$5,904
Ad spend
−$9,140
Contribution
$10,795
Listing health
7 flags
Suppressed listings
2 ASINs
Missing A+ content
5 ASINs
Account health score
892
Review velocity
−18%
Buy box win rate
96.2%
Content integrity and account health
Listing problems show up as revenue problems days later. Pulserion catches the listing problem first.
Listing integrity checks — suppression flags, content gaps
Account health score monitoring
Content-to-ad-performance correlation signals
Review velocity and rating trend tracking
Agencies, Aggregators, Multi-Brand
Portfolio & Rollup View
Your entire book of business. First thing in the morning.
Account managers shouldn’t spend two hours on triage. Pulserion’s portfolio view shows every account you manage, ranked by what needs attention — not alphabetically, not by client size. By urgency.
All accounts
12 active
Northmark Supply
3 critical
Vellum Home
2 critical
Harbor & Co.
1 warning
Atlas Provisions
On pace
Bellwether Goods
On pace
Cedarline Brands
On pace
All accounts ranked by status: critical alerts, budget pacing, active issues
Cross-account patterns — anomalies that span multiple clients in the same category
Feed view and grouped-by-client view toggle
No per-account login required — one workspace, everything visible
How the intelligence layer works
Insights prepared before you arrive. Not generated while you wait.
Every night, after your Amazon data refreshes, Pulserion’s analysis layer processes your accounts — evaluating advertising performance, inventory positions, profitability signals, and content integrity across every ASIN. Insights are pre-computed and ranked by impact before you open the app.
01
Data Refresh
Amazon data syncs nightly. Advertising, inventory, catalog, and profitability data pulled via SP API.
02
Intelligence Layer
Pulserion’s analysis models evaluate every account — comparing signals against thresholds, historical patterns, and category benchmarks.
03
Ready at Open
When you log in, insights are ranked and ready. Same read for every team member. No loading. No variance by query time.
Unlike on-demand analytics, pre-computed insights mean your entire team sees the same read for the same date window — no divergent answers based on when someone ran the query.
Alerts & Recommendations
The things you’re already checking manually, every morning.
We don’t invent new metrics. We surface the ones that matter, when they matter — connected to a recommendation you can act on immediately.
Budget pacing
Campaign running out before end of day
ACOS spike with root cause
Spend efficiency drop with attribution to keywords or placements
Keyword waste signal
Keywords spending without converting
Stockout warning
Units running low with days-of-cover estimate
Suppressed listing
ASIN removed from active catalog
Listing content gap
Missing bullets, images, or A+ below threshold
Margin erosion
Fee increase or pricing change affecting contribution margin
Review velocity drop
Unusual drop in review rate for a product
Alert → Insight → Recommendation
Alert
Something is wrong.
Insight
Here is why it happened.
Recommendation
Here is what to do next.
An alert tells you something is wrong. An insight explains why. A recommendation tells you what to do. Pulserion connects all three — so you’re not reading a dashboard and deciding for yourself what it means. The chain is built into every signal.
We surface the recommendation. You decide what happens next. Accept it, dismiss it, assign it to your team as a task. No autonomous execution — every action requires a person to confirm it.
1P Native — Vendor Central
Most tools skip Vendor Central. We don’t.
Manufacturer view, proper 1P attribution, and vendor-specific KPIs built in from the start — not retrofitted. If your business runs on Vendor Central, you get the same intelligence depth as Seller Central, not a watered-down overlay.
Vendor-specific advertising attribution
Manufacturer view with sourcing and buy-box visibility
Vendor KPIs alongside Seller Central data for hybrid accounts
1P and 3P in the same portfolio rollup
Hybrid account
1P + 3P
Vendor Central · shipped COGS
$126,400
Seller Central · net revenue
$48,210
Blended TACoS
7.8%
1P buy box share
94.1%
Vendor chargebacks
3 open