Every millisecond your DSP spends waiting on Aerospike is a bid you never placed. Cachee's L1 layer delivers 17ns profile lookups, letting you evaluate more candidates, apply richer ML models, and win auctions your competitors can't even enter.
The Trade DeskGoogle DV360Amazon DSPCriteoMagnitePubMaticIndex ExchangeXandr
17ns
Profile Lookup
vs 5–10ms Aerospike SSD
10x
More Bids Evaluated
per 100ms auction window
+23%
Win Rate Increase
richer models, better bids
99.2%
L1 Hit Rate
hot profiles always in-memory
LIVE SIMULATION
Watch a 100ms Auction Window Play Out
See exactly how Cachee's L1 layer lets a DSP evaluate more user profiles, apply ML scoring, and submit a higher-confidence bid — all within the same OpenRTB timeout.
● Incoming Bid Request
Exchange: Index Exchange
Format: Display 300x250
Floor: $2.40 CPM
Timeout: 100ms
Standard DSP — AerospikeBASELINE
0ms25ms50ms75ms100ms
Waiting...0ms
--Evaluating...
Cachee-Enhanced DSPL1 ACCELERATED
0ms25ms50ms75ms100ms
Waiting...0ms
--Evaluating...
--
Aero Profiles
--
Cachee Profiles
--
Lookup Speedup
--
Win Rate Delta
--
Revenue Lift
THE PROBLEM
Your Auction Window Is a Scarce Resource
SSPs enforce 80–120ms timeouts. Your DSP must receive the request, look up user profiles, evaluate campaign rules, run ML scoring, and return a bid — all before timeout. Every millisecond matters.
⏱
Profile Lookup Latency
Aerospike SSD reads take 5–10ms per profile. At 3–5 lookups per bid, you've burned 15–50ms before your ML model even runs.
40–80ms wasted
📊
Campaign Rule Evaluation
Frequency caps, dayparting, geo-fencing, and segment membership checks each hit separate data stores. Serialized lookups compound latency.
5–12 lookups/bid
🧠
ML Inference Starvation
Your CTR/CVR models need 10–20ms, but by the time profile data arrives, you have <30ms left. Models run on stale or partial features.
30% feature drop
BEFORE & AFTER
Same Hardware. Same Auction. 200x Faster Lookups.
Cachee sits as an L1 layer in front of your existing Aerospike cluster. No migration, no re-architecture. Hot profiles are served from DRAM in 17ns.
BEFORE — AEROSPIKE ONLY
40–80ms
profile lookup time
Single profile read5–10ms
Segment membership3–8ms
Frequency cap check2–5ms
Campaign rules3–6ms
Profiles evaluated3–5
Time left for ML<30ms
→
AFTER — CACHEE L1
0.2ms
profile lookup time
Single profile read17ns
Segment membership22ns
Frequency cap check17ns
Campaign rules31ns
Profiles evaluated30–50
Time left for ML85ms+
HOW IT WORKS
Drop-In L1 Acceleration for Your Bid Pipeline
Cachee intercepts profile lookups at the application layer. Hot data lives in lock-free DRAM structures; cold data falls through to Aerospike transparently.
99.2%
Hot Profile Pre-Loading
Predictive pre-fetch based on bid request patterns. Active campaign audiences are continuously warmed. Cookie/device graphs stay hot across bid cycles.
17ns
Campaign State Caching
Frequency caps, budgets, daypart schedules, and pacing state cached with sub-microsecond reads. Atomic decrements ensure no overspend.
10x
Segment Membership Acceleration
Bloom filter + compressed bitmap hybrid for audience segments. Check membership across 500+ segments in under 100ns total.
85ms+
ML Feature Hydration
Pre-assembled feature vectors for your CTR/CVR models. Instead of 5+ lookups to build features, get the complete vector in one 17ns read.
REVENUE IMPACT
The Math: More Bids = More Wins = More Revenue
For a mid-size DSP processing 500K QPS with $15 avg CPM, faster lookups translate directly to incremental revenue.
+$312M
additional annual revenue from bid volume uplift
10x
More bids evaluated per auction
+23%
Win rate improvement from better scoring
+18%
CPM uplift from richer bid shading
$0.003
Cost per 1000 cached lookups
Real example: A retargeting DSP moved their top 50M user profiles to Cachee L1. Profile lookup dropped from 8ms to 17ns. They increased bid candidates from 4 to 38 per auction, improving win rate by 23% and adding $26M/month in incremental media spend.
Free trial · No credit card · Deploy in <5 minutes
Benchmarks measured on production Aerospike cluster (Intel Xeon 8380, NVMe SSD) vs Cachee L1 (same host, DRAM). QPS and revenue projections based on published DSP benchmarks and IAB programmatic spend data 2025.