Opps.ai Review 2026: Features, Pricing, and Verdict for GTM Teams

Opps.ai is an end-to-end outbound platform built for teams that want lead discovery, sequencing, and deliverability infrastructure in a single tool. Rather than stitching together a prospecting database, an email automation layer, and a warm-up service, Opps.ai collapses all three into one product. The ideal buyer is a startup or growth-stage company with a small or nonexistent SDR team that needs to run structured outbound without hiring four vendors and a RevOps engineer to connect them.

Key Features

130M+ Verified B2B Contact Database The core asset is the database. Opps.ai claims 130 million verified B2B records, searchable by standard filters including industry, company size, job title, location, and technology stack. Data quality is the make-or-break factor for any database-first platform, and Opps.ai runs verification passes to reduce bounce rates before records hit your sequences. That said, 130M records is a respectable number that puts it in the same tier as Apollo.io and Amplemarket for raw coverage.

Valet AI Lead Discovery Agent Valet is Opps.ai's AI agent for finding high-quality leads. Instead of manual filter-building, you describe your ideal customer profile in natural language and Valet surfaces matching contacts from the database. It is closer to a guided search layer than a fully autonomous agent, but for teams without a dedicated demand gen analyst, it meaningfully reduces the time to a qualified list.

AI Copilot for Campaign Creation The AI Copilot generates email sequences, LinkedIn messages, and Twitter outreach drafts based on your ICP and campaign goal. You get a starting point you can edit rather than a blank page. Copilot also suggests subject lines, follow-up timing, and call-to-action variations. The output quality is adequate for a first draft but will require human editing before it matches a specific brand voice or technical product category.

Multichannel Sequencing: Email, LinkedIn, Twitter Opps.ai runs sequences across email, LinkedIn, and Twitter from a single interface. Most competitors stop at email plus LinkedIn. The Twitter step is genuinely differentiated for teams selling into developer, startup, or media audiences where Twitter is still an active professional channel. Sequence logic supports conditional branching based on opens, replies, and link clicks.

Email Deliverability Infrastructure The platform bundles email warm-up and sender rotation natively. You do not need to run a separate tool like Warmbox or Instantly's warm-up network alongside it. Sender rotation distributes sending volume across multiple mailboxes to protect domain reputation. For teams new to cold outreach infrastructure, having this built in removes a significant operational risk.

Reply Management Incoming replies are surfaced inside Opps.ai with suggested response categories: interested, not interested, wrong person, referral. This is not a full inbox management suite, but it gives a solo founder or a two-person sales team enough triage structure to not miss a hot lead buried in a flooded inbox.

Data Marketplace Beyond the core database, Opps.ai offers a data marketplace where users can purchase targeted lists for specific segments. This is useful when your ICP sits in a niche vertical where the standard database coverage is thin.

How It Works in a GTM Workflow

A typical day for a team running Opps.ai looks like this:

The growth lead opens Valet, describes the ICP for the current campaign, and exports a list of 500 contacts matching that profile. They run those contacts through the built-in verification pass and move them into a new sequence. AI Copilot drafts a five-step sequence across email (steps 1, 3, 5), LinkedIn (step 2), and Twitter (step 4). The team edits the copy to match their product positioning, sets sending windows to business hours in the target timezone, and activates sender rotation across three warmed domains.

Over the next two weeks, the platform tracks opens, clicks, and replies automatically. Replies surface in the reply management inbox each morning. The growth lead spends roughly 30 minutes triaging responses, booking interested prospects directly into Calendly via a link in the email signature, and marking dead leads to suppress from future campaigns. Export to HubSpot keeps the CRM current without manual data entry.

The total hands-on time is roughly one hour per day for a campaign running 500 active prospects. That is the core value proposition: outbound volume without headcount.

Integrations

Opps.ai connects to Salesforce, HubSpot, and Gmail natively. Zapier handles the long tail of integrations, including Slack notifications for replies, syncing to Notion, and triggering workflows in tools like Clay or Monday.com. CSV import and export is available for teams not yet on a CRM or running more manual processes.

The integration depth with Salesforce and HubSpot is functional but not deep. You get bidirectional contact sync and basic activity logging. You will not get granular sequence step data pushed into custom CRM fields or native Salesforce campaign membership updates without Zapier middleware. For teams running a mature RevOps stack, that is a gap worth noting.

Pricing

Opps.ai does not publish a public pricing page with fixed tiers. Based on available market data, plans start in the range of $500 to $1,000 per month, with pricing scaling based on contact export volume, number of active mailboxes, and sending limits. A free trial is available, which is meaningful given the price point.

For context, Instantly starts at $37 per month for basic email automation but charges separately for database access through Instantly Leads. AiSDR runs $750 to $900 per month for a more autonomous AI SDR experience. Salesforge Agent Frank is priced at $499 to $599 per month. Opps.ai sits competitively in the $500 to $1,000 range if you consider the bundled database, deliverability infrastructure, and multichannel sequencing as a combined value, but it is not the entry-level option for an early-stage team watching every dollar.

What Teams Say

User feedback on Opps.ai skews positive for the all-in-one convenience and negative for data depth in niche verticals. Teams selling into broad horizontal markets like SaaS, agencies, or professional services report strong match rates from the Valet search. Teams targeting specialized verticals like biotech procurement, municipal government, or regional manufacturing report thinner coverage and more manual list supplementation.

The AI Copilot receives mixed reviews. Users appreciate having a first draft quickly, but several note the copy defaults to generic B2B language that needs significant editing before it sounds human. The deliverability infrastructure is consistently praised. Teams migrating from tools without built-in warm-up report a noticeable improvement in open rates, typically cited in the 30 to 45 percent range on well-targeted campaigns versus 15 to 20 percent on cold domains.

Customer support response times are rated above average for the category, with most users citing responses within a few hours during business hours. Implementation complexity is low compared to enterprise outbound platforms.

Best For / Not Ideal For

Best for:

• Seed to Series B startups running outbound with a team of one to five people
• Founders doing their own prospecting who need structure without hiring an SDR
• Growth teams selling into tech, SaaS, agencies, and professional services where the 130M database has strong coverage
• Companies that want deliverability infrastructure bundled in and do not want to manage warm-up as a separate workstream
• Teams targeting audiences active on Twitter alongside standard B2B channels

Not ideal for:

• Enterprise sales teams with complex CRM workflows that require deep Salesforce customization
• Companies in highly regulated industries (healthcare, finance) where data compliance documentation is a procurement requirement
• Teams targeting niche verticals where database coverage is thin and list quality will disappoint
• Budget-constrained teams under $500 per month who need only email automation without a full prospecting stack
• Organizations that need a fully autonomous AI SDR with minimal human oversight on copy and sequencing

Top Alternatives

Instantly is the strongest alternative for email-first teams. The deliverability network is larger, pricing is more accessible at the entry level, and the interface is well-regarded. You will need to add a separate data source or pay for Instantly Leads to replicate what Opps.ai bundles.

AiSDR is worth evaluating if you want more AI autonomy over prospecting and outreach. AiSDR handles personalization at a deeper level and is designed to require less human editing of outreach copy. The tradeoff is a higher starting price and less flexibility in multichannel sequence design.

Amplemarket targets more mature GTM teams and adds intent signal layering and lead prioritization on top of the standard database and sequencing stack. If your team has a RevOps function and a more complex ICP, Amplemarket's signal enrichment justifies the additional cost.

Leadspicker is a closer apples-to-apples competitor on positioning and price, with similar multichannel outreach capabilities. Worth running a parallel trial if you are actively evaluating Opps.ai, particularly to compare database coverage for your specific target market.

Artisan Ava 2.0 is the right comparison if autonomous AI BDR execution is the priority. Ava handles research, personalization, and outreach with less human input than Opps.ai requires, and extends to phone channels, but comes at a higher price point.

Verdict

Opps.ai is a solid choice for growth-stage teams that want a self-contained outbound engine without managing three separate vendors for data, sequencing, and deliverability. The Twitter channel is a genuine differentiator for the right audience, and the built-in warm-up infrastructure removes a common failure mode for teams new to cold outreach. Teams in niche verticals or with complex CRM requirements should run a trial carefully before committing, because data coverage and integration depth are the two areas where the platform shows its limitations at the current price point.