If you run an e-commerce brand on Shopify and use Instagram as a sales channel, you are living in two worlds. In one world, your ad platform tells you which campaigns drive purchases, what your return on ad spend looks like, and which creatives perform best. In the other world, your Instagram inbox is filling up with DMs from people who saw your ad and want to ask a question before buying. They want to know about sizing, shipping times, custom options, or bundle pricing. These conversations lead to sales, but they happen outside the traditional click-to-checkout path that attribution tools are built to track.
Triple Whale and Inflowave solve different halves of this problem. Triple Whale is the attribution and analytics layer built specifically for Shopify-powered brands. It processes over 9.2 billion events daily, has been trained on more than $82 billion in gross merchandise value, and powers attribution for over 50,000 e-commerce brands. Its job is to tell you exactly which ads drive purchases, what each customer is worth over their lifetime, and where your next dollar of ad spend should go. Inflowave is the Instagram execution and CRM layer. It captures every DM conversation your ads generate, qualifies leads with AI, manages your content calendar, and tracks pipeline revenue from first message to closed deal. Where Triple Whale sees the click-to-purchase path, Inflowave sees the click-to-DM-to-deal path. Together, they reveal the full picture of how your ads generate revenue.
The reason this combination matters is that a growing percentage of e-commerce sales, especially for high-touch or premium products, happen through conversations rather than checkout pages. A customer sees your ad, visits your profile, sends a DM asking about a product, gets a response, and then either buys through a link you send in the DM or makes a purchase on your site after the conversation gives them confidence. Triple Whale tracks the website purchase. Inflowave tracks the conversation that made the purchase happen. Without both, you are making budget decisions with incomplete data.
What Triple Whale actually does (and why 50,000+ brands use it)
Triple Whale was founded in Columbus, Ohio, with a singular focus on solving the attribution crisis that hit e-commerce brands after Apple's iOS 14 privacy changes decimated tracking accuracy. The platform has since grown into a comprehensive analytics suite that goes far beyond simple attribution, offering identity resolution, AI-powered recommendations, unified measurement, and enrichment automations. Within 90 days of implementation, brands using Triple Whale report an average 42% increase in new customer revenue, a metric that reflects both better attribution accuracy and smarter budget allocation based on that data.
Pixel - Identity resolution that survives iOS privacy
The Triple Whale Pixel is the foundation of the entire platform. It is a first-party tracking script installed on your Shopify store that captures every customer touchpoint, from page views and add-to-carts to purchases and repeat orders, and maps those events back to the exact ads that drove them. Because it operates as a first-party pixel on your own domain, it works even when third-party cookies are blocked by browsers and when customers have opted out of app tracking on iOS devices. The pixel uses both client-side and server-side tracking methods to maximize accuracy, creating a redundant system where data captured in one layer fills gaps left by the other.
What makes the Triple Whale Pixel particularly powerful is its identity resolution capability. It does not just track anonymous sessions. It builds persistent customer profiles by matching events across devices, sessions, and time windows. A customer who clicks your Instagram ad on their phone during lunch, browses your site on their laptop that evening, and makes a purchase from their tablet the next morning gets correctly attributed as a single customer journey that started with that Instagram ad. This cross-device stitching is critical for brands where the buying cycle extends beyond a single session, and it gives you attribution data that is significantly more accurate than what Facebook or Google Ads Manager report on their own.
Compass - Unified measurement combining MMM, MTA, and incrementality
Compass is Triple Whale's unified measurement product, and it represents one of the most sophisticated approaches to attribution available to e-commerce brands today. Instead of relying on a single attribution methodology, Compass combines three distinct measurement frameworks: media mix modeling (MMM), multi-touch attribution (MTA), and incrementality testing. MMM uses historical spend and revenue data to model the relationship between your marketing investments and business outcomes at the channel level. MTA tracks individual customer journeys and assigns credit to each touchpoint along the path. Incrementality testing measures what would have happened without a specific campaign by comparing exposed and holdout groups.
The power of Compass is that each methodology compensates for the weaknesses of the others. MTA struggles with privacy restrictions and cross-device tracking. MMM cannot provide granular campaign-level recommendations. Incrementality testing is expensive and time-consuming to run at scale. By combining all three, Compass gives you both the big-picture channel allocation guidance of MMM and the granular campaign-level attribution of MTA, validated by the causal rigor of incrementality testing. For brands spending across Instagram, Facebook, Google, TikTok, email, and organic channels simultaneously, Compass answers the question that keeps marketing directors awake at night: "Where should my next dollar go?" The answer is grounded in statistical evidence rather than platform self-reporting.
Moby AI - Recommendations that actually understand your data
Moby is Triple Whale's AI assistant, and it goes far beyond being a chatbot that answers basic questions. Moby is trained on the collective data of all Triple Whale customers, which represents over $82 billion in gross merchandise value across 50,000+ brands. This means when Moby makes a recommendation about your ad spend, creative strategy, or audience targeting, it is drawing on patterns learned from tens of thousands of similar businesses, not just your own historical data. You can ask Moby natural language questions like "which campaign had the best ROAS last week" or "what is my customer acquisition cost trending over the past 90 days" and get instant answers without building custom reports.
What makes Moby genuinely useful for media buyers is that it surfaces anomalies and opportunities proactively. If one of your campaigns suddenly shows a spike in cost per acquisition, Moby flags it. If a creative that was performing well starts to fatigue, Moby tells you before you notice it in the numbers yourself. For agencies managing multiple Shopify brands, this means Moby effectively acts as a junior analyst monitoring every account simultaneously, catching performance changes that a human team might miss for hours or days. Combined with Compass measurement data, Moby can recommend specific budget shifts between campaigns based on real performance data rather than gut feeling, which is particularly valuable when you are managing six-figure monthly ad budgets where a 10% efficiency improvement translates to tens of thousands of dollars saved.
Sonar - Enrichment automations that drive incremental revenue
Sonar is Triple Whale's enrichment and automation product, designed to take the customer data collected by the Pixel and turn it into actionable marketing automations. Sonar enriches your customer profiles with additional data points including predicted lifetime value, purchase propensity scores, and churn risk indicators. This enrichment data feeds directly into your ad platforms and email tools, allowing you to build more targeted audiences and more personalized campaigns. For example, Sonar can automatically create a segment of customers who purchased once, have a high predicted lifetime value, but have not purchased again within the expected window, and push that segment to your ad platforms for targeted re-engagement campaigns.
The real power of Sonar for e-commerce brands is that it closes the gap between analytics and action. Most attribution tools tell you what happened in the past. Sonar uses that historical data to predict what will happen next and automatically acts on those predictions. It can suppress ads to customers who are likely to purchase organically (saving you money on unnecessary ad impressions), increase bids on audiences that look like your highest-LTV customers, and trigger re-engagement campaigns when churn risk rises above a threshold. For brands that sell products with repeat purchase cycles, such as supplements, beauty products, pet food, or consumables, Sonar's ability to predict and automate repeat purchase campaigns can drive significant incremental revenue that would otherwise require a full-time lifecycle marketer to manage manually.
Creative analytics and custom BI - See what actually drives revenue
Beyond attribution, Triple Whale offers creative analytics that break down ad performance at the individual creative level. Instead of just seeing that "Campaign A got 3x ROAS," you see which specific ad creatives, hooks, formats, and copy variations drove the best results. This is critical because most brands run dozens of ad variations simultaneously, and the difference between a 2x ROAS creative and a 5x ROAS creative often comes down to a single element: the opening hook, the thumbnail, or the call-to-action. Triple Whale's creative analytics isolate these variables across campaigns so you can systematically replicate what works.
The self-serve analytics and custom BI capabilities let you build dashboards tailored to your specific business questions. You can combine attribution data with Shopify order data to see metrics like average order value by acquisition source, repeat purchase rate by campaign, and cohort revenue curves that show how different customer acquisition channels perform over 30, 60, and 90-day windows. For agencies managing multiple brands, this means each client gets a custom dashboard that tracks the KPIs that matter most to their specific business, whether that is new customer acquisition cost, returning customer revenue, or product-level profitability. The dashboards update in near real-time and can be shared with clients directly, replacing hours of manual report-building.
What Inflowave brings to the equation
Triple Whale excels at telling you which ads drive purchases on your website. But for many e-commerce brands, especially those selling premium, customizable, or high-consideration products, a significant portion of sales involve a conversation. That conversation usually happens on Instagram. Someone sees your ad, taps through to your profile, and sends a DM asking "Does this come in a size 42?" or "Can I get this with custom engraving?" or "Do you ship to Germany?" The answers to these questions determine whether they buy. Inflowave is where those conversations are managed, automated, tracked, and attributed back to the ad that started them.
Instagram CRM - Every conversation tracked from ad to close
Inflowave's Instagram CRM captures every DM conversation across all your Instagram accounts in a unified inbox. Each conversation is automatically tagged with its source, whether it came from an ad, a story reply, a comment, or organic profile discovery. For e-commerce brands running multiple product lines or serving different markets, this means you can see exactly which ad campaign generated each conversation, which product the customer is asking about, and how that conversation progresses through your sales process. Team members can be assigned to specific conversations, and every interaction is logged with timestamps so you can measure response times and identify bottlenecks in your DM sales process.
The CRM does not just store conversations. It connects them to your sales pipeline. When a DM conversation moves from a casual inquiry to a serious buying signal, the lead moves through pipeline stages: New Lead, Qualified, Negotiating, Closed Won, or Closed Lost. Revenue is attributed to each lead, and that revenue rolls up to the campaign and ad level. This gives you a parallel revenue tracking system to Triple Whale. Triple Whale shows you "$15,000 in attributed Shopify revenue from Campaign X." Inflowave shows you "$8,200 in DM pipeline revenue from Campaign X." Together, you see that Campaign X actually generated $23,200 in total revenue, not just the $15,000 that standard attribution captured.
AI chatbot - Handle the volume your ads generate
When your ads work, they generate DMs. Lots of them. A successful Instagram ad campaign for an e-commerce brand can generate 50 to 200 DM conversations per day, and each one needs a response within minutes to maintain conversion rates. Research consistently shows that response times longer than 5 minutes reduce conversion rates by over 80%. If you are running ads across multiple product lines or multiple client accounts, the volume quickly becomes unmanageable for a human team alone. Inflowave's AI chatbot handles this by automatically responding to inbound DMs within seconds, answering common questions about products, sizing, shipping, and availability in your brand's voice.
The chatbot is not a generic auto-responder. It is trained on your specific product catalog, FAQ, shipping policies, and brand guidelines. It can answer "What material is this jacket made of?" with the correct answer pulled from your product data. It can tell a customer that you ship to their country and what the delivery timeline is. It can qualify leads by asking questions like "What size are you looking for?" and "Is this a gift or for yourself?" When the conversation reaches a point that requires human judgment, such as a custom order request, a complaint, or a negotiation on price for a bulk order, the chatbot hands off seamlessly to a human team member with the full conversation history. For brands using Triple Whale to drive traffic to Instagram through ads, the chatbot ensures that none of that traffic is wasted by going unanswered.
Content scheduling and ads manager - Organic and paid in one place
Most e-commerce brands treat their organic Instagram presence and their paid ad campaigns as separate operations, often managed by different teams with different tools. Inflowave brings both together on a single calendar. You can schedule Instagram posts, Reels, and Stories alongside your ad campaigns and see how organic content and paid traffic work together. When Triple Whale data shows that a specific creative concept is driving strong ROAS in paid campaigns, you can quickly adapt that concept as organic content and test whether the same hook resonates with your existing followers. Many brands discover that their highest-performing paid creatives also make excellent organic content, and vice versa.
Inflowave also includes a built-in Ads Manager that lets you create, launch, and manage Facebook and Instagram ad campaigns directly from the same platform where you manage your DMs and pipeline. This eliminates the context-switching that slows down media buyers. When you notice in your DM inbox that a particular product is generating a lot of questions, you can immediately check the ad performance for that product, adjust the creative or targeting, and see the impact on DM volume, all without leaving Inflowave. For agencies managing multiple Shopify brands, each client's ad accounts, DM inbox, content calendar, and pipeline are accessible from a single dashboard, which is critical when you are managing 10 or more accounts and need to move quickly.
Workflow automation - Close the loop on abandoned conversations
Not every DM conversation converts immediately. A customer might ask about a product, express interest, and then go quiet. Without a follow-up system, that lead is lost. Inflowave's workflow automation lets you build sequences that automatically re-engage leads who went cold. You can set up a workflow that sends a follow-up DM 24 hours after a conversation goes inactive, offering a discount code or asking if they have any remaining questions. Another workflow might trigger when a lead has been in the "Qualified" pipeline stage for more than 48 hours without progressing, sending a gentle nudge with a link to the product they were asking about.
When combined with Triple Whale's data, these follow-up workflows become significantly more targeted. Triple Whale shows you which campaigns drive high-LTV customers, the ones who buy once and come back three more times over the next year. Inflowave's workflows can prioritize follow-ups for leads from those specific campaigns, knowing that recovering even one of those leads could be worth hundreds of dollars in lifetime value. You can also use Inflowave workflows to trigger when a lead who previously abandoned a DM conversation returns to your website (tracked by Triple Whale), sending them a personalized DM that references the product they were browsing. This closed-loop approach turns abandoned conversations into recovered revenue.
The five-step workflow: from ad dollar to total revenue
Here is how e-commerce brands and agencies that use both tools structure their attribution and sales workflow. This process runs continuously, not as a one-time setup. Each step feeds data back into the previous steps, creating a flywheel that gets more accurate and more profitable with every cycle. The key insight is that neither tool alone gives you the complete picture, but together they eliminate the blind spots that cause brands to misallocate thousands of dollars in ad spend every month.
Step 1: Install the Triple Whale Pixel and connect your Shopify store
The first step is getting Triple Whale's Pixel installed on your Shopify store and connected to all your ad accounts. The Pixel captures every customer touchpoint including page views, product views, add-to-carts, checkouts, and purchases, then maps each event back to the specific ad, ad set, and campaign that drove it. The installation takes about 15 minutes for a standard Shopify store and begins collecting data immediately. Within 24 to 48 hours, you have enough data to start seeing meaningful attribution insights. The server-side tracking component ensures you capture conversion data even when customers use ad blockers or have opted out of iOS tracking, which accounts for a significant percentage of iPhone users.
Once the Pixel is running, connect your ad accounts from Meta, Google, TikTok, and any other platforms you advertise on. Triple Whale pulls in cost data from each platform automatically, so you see real-time ROAS, CPA, and LTV metrics without manually importing spend data. Set up Compass unified measurement to begin building the MMM and MTA models that will guide your budget allocation decisions. If this is your first time using Triple Whale, let it collect at least two weeks of data before making major budget decisions based on its attribution, as the models need time to learn your specific customer journey patterns.
Step 2: Set up Inflowave to capture ad-driven DM conversations
While Triple Whale is tracking your website conversions, set up Inflowave to capture the other half of your sales funnel: Instagram DM conversations. Connect your Instagram accounts to Inflowave, configure your AI chatbot with your product catalog and FAQ data, and set up your lead pipeline stages to match your sales process. If you are running ads with "DM us" CTAs, or if your ads drive people to your profile where they naturally send DMs with questions, Inflowave captures every one of these conversations and begins tracking them as leads. Auto-tagging rules ensure each lead is tagged with the campaign or ad set that drove the initial interaction, creating a direct link between your ad spend and your DM pipeline.
Configure your chatbot to handle the most common questions your ads generate. For an apparel brand, this might be sizing, material, shipping times, and return policy. For a supplements brand, it might be ingredients, dosage, and subscription options. For a jewelry brand, it might be customization, engraving, and gift wrapping. The chatbot should answer these questions instantly and then transition to qualifying the lead by asking about their purchase intent and timeline. When a lead is qualified, the chatbot can either send them directly to your product page with a tracked link or hand off to a human team member for high-touch sales. The goal is zero unanswered DMs, because every unanswered DM is a potential customer that your ad spend already paid to acquire.
Step 3: Cross-reference Triple Whale attribution with Inflowave pipeline data
This is where the combination of both tools produces insights that neither can deliver alone. Pull up your Triple Whale dashboard and look at your top-performing campaigns by ROAS. Now compare those numbers with Inflowave's pipeline report for the same campaigns. You will often discover surprising discrepancies. A campaign that shows moderate ROAS in Triple Whale might be generating a disproportionate number of high-value DM conversations in Inflowave. Conversely, a campaign with impressive click metrics in Triple Whale might be producing almost zero DM engagement, meaning it drives impulse purchases but no relationship-based sales. Both types of campaigns have value, but they require different optimization strategies.
The most valuable insight from this cross-reference is identifying "hidden revenue" campaigns. These are ads that appear mediocre in standard attribution because they drive DM conversations instead of immediate checkout conversions. A brand selling custom furniture, for example, might find that their best-performing campaign in Triple Whale (based on direct purchases) drives $20,000 in monthly Shopify revenue, but their best-performing campaign in Inflowave (based on DM pipeline) drives $35,000 in monthly revenue through conversations that eventually convert. Without Inflowave, that second campaign would look like a poor performer in Triple Whale's attribution, and you might reduce its budget or kill it entirely, sacrificing $35,000 in monthly revenue based on incomplete data.
Step 4: Optimize ad spend for total revenue, not just direct purchases
With data from both tools, you can now make budget allocation decisions based on total revenue rather than just website conversions. Use Triple Whale's Compass recommendations as your starting point for channel-level allocation. Then layer in Inflowave's DM pipeline data to adjust campaign-level budgets. If Compass suggests increasing Instagram spend by 20%, and Inflowave confirms that Instagram campaigns also drive the highest-value DM conversations, you have double validation for that budget shift. If Compass suggests scaling a specific campaign but Inflowave shows that campaign produces low-quality DM leads that rarely convert, you might scale it more conservatively or adjust the creative to attract higher-intent prospects.
Test different ad CTAs with data from both tools. Run A/B tests comparing "Shop Now" CTAs against "DM Us for Details" CTAs on the same products. Triple Whale shows you which CTA drives more direct purchases. Inflowave shows you which CTA drives more DM pipeline revenue. For many brands, the "DM Us" CTA drives less immediate revenue but more total revenue over time because the conversations lead to higher average order values and more repeat purchases. The customer who takes the time to have a conversation before buying is often a more loyal customer than the one who impulse-purchased from a single ad click. Triple Whale's LTV analytics can validate this hypothesis by showing the lifetime value of customers acquired through different CTA types.
Step 5: Close the loop with automated follow-ups and retargeting
The final step is closing every open loop in your sales funnel. Triple Whale identifies customers who abandoned their cart or viewed a product without purchasing. Inflowave identifies leads whose DM conversations went cold without converting. Together, these two data sources give you a complete picture of potential revenue sitting on the table. Set up Inflowave workflows to automatically follow up with DM leads who showed buying signals but did not convert within 48 hours. The follow-up message can reference the specific product they were asking about and include a time-limited discount code or a link to the exact product page they were interested in.
On the Triple Whale side, use Sonar's enrichment data to build retargeting audiences of customers who are predicted to have high lifetime value but have not made a repeat purchase within their expected window. Feed these audiences back into your ad campaigns, and configure Inflowave to capture the DM conversations those retargeting ads generate. This creates a recovery loop where abandoned carts get DM follow-ups, cold DM leads get retargeting ads, and both channels work together to recover revenue that would otherwise be lost. Over time, this loop gets smarter as Triple Whale's models learn which customer segments respond best to which recovery method, and Inflowave's chatbot learns which follow-up messages and timing produce the highest conversion rates.
Real use cases for e-commerce brands and agencies
Shopify brand with high-touch products ($200+ AOV)
A premium leather goods brand selling wallets, bags, and accessories with an average order value of $280 uses Instagram as a primary sales channel. Their products come in multiple leathers, colors, and can be personalized with monogramming. Because of the customization options, roughly 40% of their sales involve a DM conversation where the customer asks about leather types, color options, and monogramming availability before purchasing. Triple Whale tracks the 60% of sales that happen directly through their Shopify checkout, giving them accurate ROAS and LTV data for those direct purchases. Inflowave captures the other 40% of sales that start as DM conversations, tracking each conversation from initial question through to purchase confirmation.
Before using both tools together, this brand was making budget decisions based only on Triple Whale data, which showed a 3.2x ROAS across their Instagram campaigns. When they added Inflowave and included DM pipeline revenue in their calculations, their effective ROAS jumped to 5.1x because 40% of their revenue was invisible to standard attribution. More importantly, they discovered that their highest-ROAS campaign in Triple Whale was not their highest-total-revenue campaign. A campaign targeting "gift for him" audiences drove modest direct purchases but generated 3x more DM conversations than any other campaign because gift buyers needed help choosing the right product. That single insight led them to triple the budget on gift-oriented campaigns during Q4, resulting in their best holiday season revenue ever.
Shopify agency managing 20+ DTC brands
An agency managing paid ads and Instagram presence for 22 Shopify brands uses Triple Whale for per-client attribution dashboards and Inflowave for per-client Instagram CRM and DM management. The agency had a persistent problem: clients would compare the ROAS numbers the agency reported (from Triple Whale) against the revenue they saw in Shopify (which included DM-sourced orders), and the numbers never matched. The gap was the DM-sourced revenue that the agency was driving through Instagram but could not attribute to their ad spend. Inflowave solved this by giving the agency a parallel revenue tracking system for every client, showing exactly how many DM conversations each campaign generated and how much revenue those conversations produced.
The agency now presents dual ROAS reports to clients: Triple Whale ROAS (direct purchases) and Total ROAS (direct purchases plus DM pipeline). For clients in categories with high-touch sales processes, such as custom furniture, premium skincare, and bespoke jewelry, the DM pipeline often represents 30% to 50% of total ad-attributed revenue. Showing this data transformed client retention for the agency because clients could finally see the full impact of the agency's work. The agency also uses Inflowave's AI chatbot across all 22 client accounts, ensuring that the DMs their ads generate get instant responses even outside business hours. They estimate that the chatbot alone recovers 15% to 20% of DM leads that would have gone cold if they had waited until the next business day to respond.
Subscription e-commerce brand focused on repeat purchases
A supplements brand selling subscription boxes uses Triple Whale's LTV analytics to understand which acquisition campaigns drive the highest lifetime value customers, not just first-order revenue. They discovered that Instagram ad campaigns drove customers with a 14-month average subscription length compared to 8 months for Google Search campaigns, even though Google campaigns showed higher first-order ROAS. This insight, powered by Triple Whale's cohort analysis and LTV modeling, led them to shift 30% of their Google budget to Instagram. But they needed Inflowave to handle the increased Instagram engagement that resulted from the budget shift.
The brand found that Instagram-acquired customers were more likely to DM with questions before subscribing because subscriptions are a higher commitment than one-time purchases. Common questions included "Can I pause my subscription?", "What if I do not like the flavor?", and "How do I change my delivery schedule?" Inflowave's AI chatbot answered these questions instantly, reducing the friction that prevented subscription sign-ups. The chatbot also implemented a win-back workflow for customers who canceled their subscription, sending a personalized DM 7 days after cancellation offering a discount on their next box. Triple Whale's Sonar data identified which cancellation cohorts were most likely to respond to win-back offers, and Inflowave's workflow executed the outreach automatically. The combination recovered an average of 12% of canceled subscriptions per month, worth approximately $18,000 in annual recurring revenue.
Frequently Asked Questions
Does Triple Whale work with non-Shopify stores?
Triple Whale was originally built for Shopify and that remains its strongest and most seamless integration. However, the platform has expanded to support WooCommerce and custom stores through its pixel and API integrations. The Shopify integration is the most feature-rich, with automatic order data syncing, product-level analytics, LTV calculations, and cohort analysis that pull directly from Shopify order history. If you are on a non-Shopify platform, you can still use Triple Whale's core attribution features, but some advanced analytics may require manual data connections. Most brands on non-Shopify platforms use Triple Whale primarily for its attribution and measurement capabilities while relying on their native platform for order-level analytics.
How accurate is Triple Whale attribution compared to what Facebook reports?
Triple Whale uses a combination of first-party pixel tracking, server-side data collection, and statistical modeling to achieve higher accuracy than platform-reported numbers, especially after iOS 14 privacy changes decimated third-party tracking. Facebook tends to over-report conversions because it uses its own attribution model that credits itself for conversions it may not have directly caused. Google does the same. Triple Whale provides an independent, third-party view that cross-references click data, conversion data, and in many cases post-purchase survey responses to assign credit more accurately. Most brands report that Triple Whale's numbers fall between the inflated numbers ad platforms report and the conservative numbers from last-click models, giving a more realistic view of true ad performance.
How much does Triple Whale cost?
Triple Whale offers a free plan that includes basic analytics and limited features, making it accessible for brands that want to try the platform before committing. Paid plans typically start around $100 to $150 per month for smaller stores and scale based on revenue volume and feature needs. Enterprise plans with advanced features like Compass unified measurement, Sonar enrichment automations, and dedicated support cost more and are typically priced based on your store's revenue and ad spend. For most brands spending meaningful amounts on ads, the subscription cost is a fraction of the ad spend waste that accurate attribution helps eliminate. Check their website for the most current pricing tiers and any available trial offers.
Can Triple Whale track Instagram DM sales?
Triple Whale tracks conversions that happen on your website or Shopify store. It does not natively track sales that happen through Instagram DMs, which is exactly why pairing it with Inflowave creates so much value. When a customer sees your ad, DMs you on Instagram, has a conversation, and then either buys through a link you send in the DM or visits your site to purchase, Triple Whale captures the website purchase but has no visibility into the DM conversation that influenced it. Inflowave captures that entire conversation layer, tracks it as a pipeline deal, and attributes the revenue to the campaign that generated the initial DM. Together, you see both the direct purchase path and the conversation-assisted purchase path.
What is the difference between Triple Whale and Northbeam?
Triple Whale and Northbeam both solve the attribution problem but with different strengths and positioning. Triple Whale is more e-commerce focused with deep Shopify integration, LTV analytics, creative-level reporting, Moby AI, and Sonar enrichment automations. It processes over 9.2 billion events daily and is trained on $82 billion in GMV. Northbeam takes a more data-science-heavy approach with machine learning attribution models, media mix modeling, and incrementality testing that appeals to analytically sophisticated teams. Triple Whale is generally easier to set up and more accessible for DTC Shopify brands, while Northbeam tends to suit larger brands and agencies that need advanced cross-channel modeling across many platforms. Both are excellent tools, and the choice often comes down to whether you prioritize Shopify-specific features or advanced statistical modeling.
Does Triple Whale replace Google Analytics?
Triple Whale does not fully replace Google Analytics, and most brands use both. Google Analytics covers your entire web presence including organic search traffic, SEO performance, referral sources, on-site behavior flows, and user demographics. Triple Whale focuses specifically on paid ad attribution, ROAS calculation, e-commerce purchase analytics, and customer lifetime value metrics. Think of Google Analytics as your general-purpose web analytics tool and Triple Whale as your specialized ad performance and e-commerce analytics tool. They complement each other, with Google Analytics answering questions about overall website performance and Triple Whale answering questions about which specific ads are driving profitable customers.
How does Triple Whale handle iOS 14 and iOS 17 tracking restrictions?
Triple Whale addresses iOS privacy changes through multiple layers of tracking redundancy. The first-party pixel is installed on your own domain, so it is not affected by third-party cookie blocking. Server-side tracking sends conversion data directly from your server to Triple Whale, bypassing the browser entirely. Identity resolution stitches together customer journeys across devices and sessions even when individual tracking signals are incomplete. Compass unified measurement uses statistical modeling (MMM) alongside user-level attribution (MTA) to maintain accuracy even when a percentage of individual journeys cannot be tracked. The result is attribution data that remains reliable despite the privacy restrictions that have significantly degraded platform-reported metrics from Facebook and other ad networks.
What is Moby AI and how do media buyers actually use it?
Moby is Triple Whale's AI assistant trained on the collective data of over 50,000 brands and more than $82 billion in GMV. Media buyers use Moby to ask natural language questions about their ad performance without building manual reports. You can ask "which campaign had the best new customer ROAS last week" or "show me my customer acquisition cost trend over the past 90 days" and get instant answers. Beyond answering questions, Moby proactively surfaces anomalies and opportunities, such as flagging a campaign whose cost per acquisition has spiked 40% in the past 24 hours or identifying a creative that is outperforming all others in a specific audience segment. For agencies managing multiple accounts, Moby effectively acts as an always-on analyst monitoring every account simultaneously.
Do I need both Triple Whale and Inflowave, or can I use just one?
You can absolutely use each tool independently. Triple Whale is valuable on its own for any e-commerce brand that runs paid ads and needs accurate attribution data, even if you never touch Instagram DMs. Inflowave is valuable on its own for any business that uses Instagram as a communication or sales channel, even if you do not run paid ads at all. The combination becomes especially powerful for brands where Instagram is both an advertising channel and a sales conversation channel. If your customers regularly DM you before purchasing, or if you use "DM us" CTAs in your ads, the combination reveals revenue that each tool misses individually. For brands where all sales happen through a standard checkout flow with no DM involvement, Triple Whale alone may be sufficient.
How quickly can I set up both tools and start seeing combined data?
Triple Whale's pixel can be installed on a Shopify store in about 15 minutes, and it begins collecting data immediately. Meaningful attribution insights typically emerge within 24 to 48 hours of installation, though the Compass MMM models benefit from at least two weeks of data. Inflowave can be set up in about 30 minutes per Instagram account, including connecting the account, configuring the AI chatbot with basic product and FAQ data, and setting up pipeline stages. Both tools offer free trials, so you can have the complete setup running within a single afternoon. The combined insights start appearing as soon as you have enough DM conversations tracked in Inflowave to cross-reference with Triple Whale attribution data, which for most active brands happens within the first week.